Study

This is a “Study” page, displaying a list of posts.
Target Object:
paper, math background, real data, real system

have goals and change plans
accept situations and be happy

11/16/25 [2024]Streamlining Computational Fragment-Based Drug Discovery through Evolutionary Optimization Informed by Ligand-Based Virtual Prescreening study
11/16/25 [2024]Fragment databases from screened ligands for drug discovery (FDSL-DD) study
11/1/25 November study
10/27/25 [2024]Functionality understanding and segmentation in 3D scenes study
10/19/25 [2025]Code World Models for General Game Playing study
10/17/25 [2025]Mind the Gap: Static and Interactive Evaluations of Large Audio Models study
10/17/25 [2024]AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension study
10/17/25 [2025]Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models study
10/17/25 [2025]MoE-Health: A Mixture of Experts Framework for Robust Multimodal Healthcare Prediction study
10/17/25 [2025]HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning study
10/17/25 [2025]Rare Disease Phenotyping via Self-Supervised Multimodal Learning study
10/17/25 [2025]Multi-Agent LLM Reasoning for Clinical Procedure Sequencing from High-Granularity EHR Data study
10/17/25 [2025]Characterizing Amyloid Pathogenic Spread in Alzheimer’s Disease Through A Network Diffusion Model study
10/17/25 [2025]Vision Transformer Supported Kolmogorov–Arnold Networks for Survival Prediction in Lung Cancer study
10/1/25 October study
9/30/25 [2025]Language Self-Play for Data-Free Training study
9/29/25 [2025]Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning study
9/27/25 [2025]ixi-GEN: Efficient Industrial sLLMs through Domain Adaptive Continual Pretraining study
9/21/25 [2025]Generative design of novel bacteriophages with genome language models study
9/21/25 [2025]Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis study
9/17/25 [2025]Regulating genome language models: navigating policy challenges at the intersection of AI and genetics study
9/7/25 [2025]LLM-generated Rewrite and Context Modulation for Enhanced Vision Language Models in Digital Pathology study
9/7/25 [2025]ATBench: Benchmarking Vision–Language Models for Human-Centered Assistive Technology study
9/2/25 [2025]Evaluating the Effectiveness of Parameter-Efficient Fine-Tuning in Genomic Classification Tasks study
9/2/25 [2025]NextVir: Enabling classification of tumor-causing viruses with genomic foundation models study
9/1/25 September study
8/26/25 [2020]FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence study
8/26/25 [2021]FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling study
8/24/25 [2024]Conceptualizing bias in EHR data: A case study in performance disparities by demographic subgroups for a pediatric obesity incidence classifier study
8/23/25 [2025]Synthetic Data in the Era of LLMs study
8/23/25 [2025]Uncertainty Quantification for Large Language Models study
8/23/25 [2025]Inverse Reinforcement Learning Meets LLM Alignment study
8/23/25 [2025]Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities study
8/23/25 [2025]SII-GAIR: AlphaGo Moment for Model Architecture Discovery study
8/23/25 [2022]Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models study
8/23/25 [2025]Byte Latent Transformer: Patches Scale Better Than Tokens study
8/23/25 [2025]FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes study
8/23/25 [2025]If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World study
8/23/25 [2025]Revisiting Semi-Supervised Learning in the Era of Foundation Models study
8/22/25 [2025]LoGU: Long-form Generation with Uncertainty Expressions study
8/22/25 [2025]Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE study
8/22/25 [2025]AD-LLM: Benchmarking Large Language Models for Anomaly Detection study
8/22/25 [2025]Conservative Bias in Large Language Models: Measuring Relation Predictions study
8/22/25 [2025]Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement study
8/22/25 [2025]Moderation Matters: Measuring Conversational Moderation Impact in English as a Second Language Group Discussion study
8/19/25 [2025]FINECITE: A Novel Approach For Fine-Grained Citation Context Analysis study
8/19/25 [2025]Improving Word Alignment Using Semi-Supervised Learning study
8/19/25 [2025]SConU: Selective Conformal Uncertainty in Large Language Models study
8/19/25 [2025]Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection study
8/19/25 [2025]GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization study
8/19/25 [2025]Let’s Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR study
8/19/25 [2025]Beyond the Gold Standard in Analytic Automated Essay Scoring study
8/19/25 [2025]The Role of Exploration Modules in Small Language Models for Knowledge Graph Question Answering study
8/16/25 [2025]Data Caricatures: On the Representation of African American Language in Pretraining Corpora study
8/16/25 [2025]SCULPT: Systematic Tuning of Long Prompts study
8/16/25 [2025]Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework study
8/16/25 [2025]REFLECTOOL: Towards Reflection-Aware Tool-Augmented Clinical Agents study
8/15/25 [2025]Knowledge Tracing in Programming Education: Integrating Students’ Questions study
8/15/25 [2025]RoToR: Towards More Reliable Responses for Order-Invariant Inputs study
8/15/25 [2025]Experiential Semantic Information and Brain Alignment: Are Multimodal Models Better than Language Models? study
8/15/25 [2025]Questioning Our Questions: How Well Do Medical QA Benchmarks Evaluate Clinical Capabilities of Language Models? study
8/15/25 [2025]PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection study
8/15/25 [2024]Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes study
8/15/25 [2025]Structured Discourse Representation for Factual Consistency Verification study
8/14/25 [2025]SetBERT: the deep learning platform for contextualized embeddings and explainable predictions from high-throughput sequencing study
8/14/25 [2024]Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning study
8/13/25 [2025]Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks study
8/13/25 [2025]SDD: Self-Degraded Defense against Malicious Fine-tuning study
8/13/25 [2025]Generate First, Then Sample: Enhancing Fake News Detection with LLM-Augmented Reinforced Sampling study
8/13/25 [2025]Do not Abstain! Identify and Solve the Uncertainty study
8/13/25 [2025]Advancing Biomedical Claim Verification by Using Large Language Models with Better Structured Prompting Strategies study
8/13/25 [2025]Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection study
8/13/25 [2025]DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues study
8/13/25 [2025]SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script study
8/13/25 [2025]Blinded by Context: Unveiling the Halo Effect of MLLM in AI Hiring study
8/13/25 [2025]Deep Researcher with Test-Time Diffusion study
8/12/25 [2025]Gradient Regularization-based Neural Granger Causality study
8/3/25 [2025]Language Models Can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation study
8/3/25 [2025]Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph study
8/3/25 [2025]SoRFT: Issue Resolving with Subtask-Oriented Reinforced Fine-Tuning study
8/3/25 [2025]On the Limit of Language Models as Planning Formalizers study
8/2/25 August study
8/2/25 [2025]Enhancing Stress Detection on Social Media Through Multi-Modal Fusion of Text and Synthesized Visuals study
7/27/25 [2025]An analytic theory of creativity in convolutional diffusion models study
7/27/25 [2025]Layer by Layer Uncovering Hidden Representations in Language Models study
7/27/25 [2025]Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks study
7/27/25 [2025]Emergence in Non-Neural Models: Grokking Modular Arithmetic via Average Gradient Outer Product study
7/27/25 [2025]NegMerge: Sign-Consensual Weight Merging for Machine Unlearning study
7/26/25 [2025]Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling study
7/26/25 [2025]Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions study
7/25/25 [2025]The dark side of the forces: assessing non-conservative force models for atomistic machine learning study
7/25/25 [2025]Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking) study
7/25/25 [2025]Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? study
7/25/25 [2025]Machine Learning Meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics study
7/25/25 [2025]LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models study
7/17/25 [2025]Designing Algorithmic Delegates: The Role of Indistinguishability in Human-AI Handoff study
7/17/25 [2025]MedGemma Technical Report study
7/15/25 [2025]Best of Both Worlds: Advantages of Hybrid Graph Sequence Models study
7/15/25 [2025]TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs study
7/14/25 [2025]Distillation Scaling Laws study
7/14/25 [2025]DISTILLM-2: A Contrastive Approach Boosts the Distillation of LLMs study
7/14/25 ㅁㅇㅇ study
7/14/25 [2025]SELF-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection study
7/12/25 [2024]Introducing the Model Context Protocol study
7/12/25 [2025]Grok 4: The Smartest Model in the World study
7/12/25 [2025]Energy-Based Transformers Are Scalable Learners and Thinkers study
7/1/25 [2025]AlphaGenome: Advancing Regulatory Variant Effect Prediction with a Unified DNA Sequence Model study
7/1/25 July study
6/20/25 [2025]Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities study
6/12/25 [2025]Reinforcement Pre-Training study
6/12/25 [2024]TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare study
6/12/25 [2024]ClinicalAgent Clinical Trial Multi-Agent System with Large Language Model-based Reasoning study
6/12/25 [2025]GeneChat: A Multi-Modal Large Language Model for Gene Function Prediction study
6/9/25 [2019]Compound Probabilistic Context-Free Grammars for Grammar Induction study
6/9/25 [2023]Deriving Language Models from Masked Language Models study
6/8/25 [2023]Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars study
6/8/25 [2019]Unsupervised Recurrent Neural Network Grammars study
6/4/25 [2022]LoRA: Low-Rank Adaptation of Large Language Models study
6/4/25 [2023]QLORA: Efficient Finetuning of Quantized LLMs study
6/3/25 [2022]Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning study
6/1/25 June study
5/26/25 [2025]LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs study
5/26/25 [2025]LLMs Get Lost In Multi-Turn Conversation study
5/9/25 [2024]Multi-modal Transfer Learning between Biological Foundation Models study
5/9/25 [2024]DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA study
5/3/25 [2025]Phi-4-Reasoning: Reasoning Specialization of Phi-4 Models study
5/3/25 [2025]The BIGGEN BENCH: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models study
5/1/25 May study
4/26/25 [2023]CodonBERT: Large Language Models for mRNA Design and Optimization study
4/26/25 [2023]regLM: Designing Realistic Regulatory DNA with Autoregressive Language Models. study
4/24/25 [2024]READRetro: natural product biosynthesis predicting with retrieval-augmented dual-view retrosynthesis study
4/23/25 [2019]Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks study
4/22/25 [2025]Enhancing nucleotide sequence representations in genomic analysis with contrastive optimization study
4/22/25 [2023]SCORPIO: Leveraging Large Language Models for Metagenomic Analysis study
4/18/25 [2019]16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses study
4/18/25 [2025]argNorm: normalization of antibiotic resistance gene annotations to the Antibiotic Resistance Ontology (ARO) study
4/15/25 [2020]Metagenomic Analysis of Colorectal Cancer Datasets Identifies Cross-Cohort Microbial Diagnostic Signatures and a Link with Choline Degradation study
4/8/25 [2025]On the Limit of Language Models as Planning Formalizers study
4/7/25 [2025]CoME: An Unlearning-based Approach to Conflict-free Model Editing study
4/5/25 [2024]Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios study
4/5/25 [2025]LCIRC A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs study
4/3/25 [2024]MP-RNA: Unleashing Multi-species RNA Foundation Model via Calibrated Secondary Structure Prediction study
4/3/25 [2022]ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning study
4/1/25 April study
3/24/25 [2024]Few-shot character understanding in movies as an assessment to meta-learning of theory-of-mind study
3/22/25 [2025]Improving Fine-grained Visual Understanding in VLMs through Text-Only Training study
3/22/25 [2025]Distribution-Level Feature Distancing for Machine Unlearning study
3/15/25 [2024]MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction study
3/15/25 [2015]Evaluation methods for unsupervised word embeddings study
3/15/25 [2024]Evaluating Large Language Models for Predicting Protein Behavior under Radiation Exposure and Disease Conditions study
3/15/25 [2024]Large Language Models for Biomedical Knowledge Graph Construction: Information Extraction from EMR Notes study
3/7/25 [2024]Machine Learning-Based Functional Prediction of Microbial Genomes Using KEGG Orthologs study
3/7/25 [2024]Predicting Bacterial Carbon Utilization Traits Using Statistical Models study
3/7/25 [2024]An Ensemble Deep Learning Model for Predicting Minimum Inhibitory Concentrations of Antimicrobial Peptides Against Pathogenic Bacteria study
3/4/25 [2025]Highly Accurate Protein Structure Prediction with AlphaFold study
3/4/25 [2025]mRNA2vec: mRNA Embedding with Language Model in the 5′ UTR-CDS for mRNA Design study
3/4/25 [2025]When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline study
3/4/25 [2025]A Unifying Information-theoretic Perspective on Evaluating Generative Models study
3/4/25 [2025]CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction study
3/3/25 [2025]Accurate Nucleic Acid-Binding Residue Identification Based on Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning study
3/3/25 [2025]Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer study
3/3/25 [2025]FoldToken: Learning Protein Language via Vector Quantization and Beyond study
3/3/25 [2025]Unravelling Causal Genetic Biomarkers of Alzheimer’s Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach study
3/3/25 [2025]SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration study
3/3/25 [2025]Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity study
3/3/25 [2025]Genomics Data Lossless Compression with (S,K)-Mer Encoding and Deep Neural Networks_DeepGeCo study
3/3/25 [2025]Bridging Sequence-Structure Alignment in RNA Foundation Models study
3/3/25 [2025]Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images study
3/2/25 [2025]Controllable Protein Sequence Generation with LLM Preference Optimization study
3/2/25 [2025]ProtCLIP: Function-Informed Protein Multi-Modal Learning study
3/2/25 [2025]PriFold: Biological Priors Improve RNA Secondary Structure Predictions study
3/2/25 [2025]RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction study
3/1/25 [2025]Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems study
3/1/25 March study
2/26/25 [2025]ROUTERRETRIEVER: Routing over a Mixture of Expert Embedding Models study
2/25/25 [2024]MoleculeSTM: A Multi-Modal Contrastive Learning Model for Chemical Structures and Text Descriptions study
2/25/25 [2023]GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning study
2/24/25 [2025]Evaluating metagenomic analyses for undercharacterized environments: what’s needed to light up the microbial dark matter? study
2/23/25 [2025]Genome modeling and design across all domains of life with Evo 2 study
2/18/25 [2025]Large Language Diffusion Models study
2/13/25 [2021]VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation study
2/10/25 [2021]Rethinking Denoised Auto-Encoding in Language Pre-Training study
2/2/25 February study
1/28/25 [2024]DNA language model GROVER learns sequence context in the human genome study
1/26/25 [2025]DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning study
1/24/25 [2024]KTRL+F: Knowledge-Augmented In-Document Search study
1/24/25 [2024]Generative Context Distillation study
1/24/25 [2024]Adaptive Slot Attention: Object Discovery with Dynamic Slot Number study
1/24/25 [2024]Generative models improve fairness of medical classifiers under distribution shifts study
1/24/25 [2022]Learning to Embed Multi-Modal Contexts for Situated Conversational Agents study
1/24/25 [2022]Direct Antimicrobial Resistance Prediction from Clinical MALDI-TOF Mass Spectra Using Machine Learning study
1/21/25 Eng Idioms study
1/17/25 [2024]Mitigating Social Biases in Text-to-Image Diffusion Models via Linguistic-Aligned Attention Guidance study
1/17/25 [2024]Stable Diffusion Exposed: Gender Bias from Prompt to Image study
1/14/25 [2024]Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models study
1/11/25 [2024]MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records study
1/11/25 [2024]Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models study
1/1/25 January study
12/31/24 [2024]COGEN: Learning from Feedback with Coupled Comprehension and Generation study
12/31/24 [2024]Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method study
12/31/24 [2024]Backward Lens: Projecting Language Model Gradients into the Vocabulary Space study
12/31/24 [2024]An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance study
12/1/24 December study
11/30/24 [2024]Multi-Reference Benchmarks for Russian Grammatical Error Correction study
11/30/24 [2024]Universal Dependencies for Learner Russian study
11/21/24 [2024]Large Language Models as Event Forecasters study
11/21/24 [2024]Sequence modeling and design from molecular to genome scale with Evo study
11/21/24 [2024]Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit study
11/21/24 [2024]Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models study
11/20/24 [2024]Information Sharing and Content Framing Across Multiple Platforms and Functional Roles That Exemplify Social Processes of Online Hate Groups study
11/20/24 [2023]Learning from the Ex-Believers: Individuals' Journeys In and Out of Conspiracy Theories Online study
11/20/24 [2022]Pathways through Conspiracy: The Evolution of Conspiracy Radicalization through Engagement in Online Conspiracy Discussions study
11/19/24 [2024]Characterizing Political Campaigning with Lexical Mutants on Indian Social Media study
11/19/24 [2024]Large Language Models Reflect the Ideology of their Creators study
11/19/24 [2024]DeepSeek-V2 A Strong, Economical, and Efficient Mixture-of-Experts Language Model study
11/19/24 [2023]Symbol Tuning Improves In-Context Learning in Language Models study
11/19/24 [2022]Constitutional AI Harmlessness from AI Feedback study
11/19/24 [2024]Lost in the Middle: How Language Models Use Long Contexts study
11/15/24 [2024]Beyond Deepfake Images Detecting AI-Generated Videos study
11/9/24 [2024]A Topology-aware Graph Coarsening Framework for Continual Graph Learning study
11/8/24 [2024]Cell2Sentence: Teaching Large Language Models the Language of Biology study
11/5/24 [2024]PDDLEGO Iterative Planning in Textual Environments study
11/4/24 [2016]Mastering the game of Go with deep neural networks and tree search study
11/4/24 [2021]An Attentive Survey of Attention Models study
11/4/24 [2025]Deep learning study
11/1/24 November study
10/26/24 [2024]Diffusion Guided Language Modeling study
10/18/24 [2024]Advances in Human Event Modeling From Graph Neural Networks to Language Models study
10/9/24 [2020]Denoising Diffusion Probabilistic Models study
10/9/24 [2021]An Image Is Worth 16x16 Words: Transformers for Image Recognition at Scale(ViT:VisionTransformer) study
10/1/24 October study
9/29/24 Eng Words2 study
9/18/24 [2024]A case for -little English- in Nurse Notes from the Telehealth Intervention Program for Seniors: Implications for Future Design and Research study
9/14/24 [2022]Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words study
9/11/24 [2024]Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation study
9/10/24 [2024]The OMG dataset: An Open MetaGenomic corpus for mixed-modality genomic language modeling study
9/10/24 [2024]Genomic language model predicts protein co-regulation and function study
9/1/24 September study
8/27/24 [2024]ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models study
8/27/24 [2024]Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models study
8/24/24 [2020]Small but Mighty: New Benchmarks for Split and Rephrase study
8/24/24 [2020]Reasoning about Goals, Steps, and Temporal Ordering with WikiHow study
8/24/24 [2022]Is “My Favorite New Movie” My Favorite Movie? Probing the Understanding of Recursive Noun Phrases study
8/24/24 [2022]Label Definitions Improve Semantic Role Labeling study
8/24/24 [2023]Human-in-the-Loop Schema Induction study
8/24/24 [2023]Causal Reasoning About Entities and Events in Procedural Texts study
8/4/24 [2023]Towards Building a Robust Toxicity Predictor study
8/4/24 [2020]TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP study
8/1/24 August study
7/24/24 [2023]Beta-spike-containing boosters induce robust and functional antibody responses to SARS-CoV-2 in macaques primed with distinct vaccines study
7/24/24 [2022]Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference study
7/24/24 [2024]OPENPI2.0 An Improved Dataset for Entity Tracking in Texts study
7/22/24 [2024]Scaling Rectified Flow Transformers for High-Resolution Image Synthesis study
7/22/24 [2022]DreamBooth Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation study
7/4/24 [2021]Learning Transferable Visual Models From Natural Language Supervision study
7/4/24 [2015]U-Net: Convolutional Networks for Biomedical Image Segmentation study
7/3/24 [2015]Deep Residual Learning for Image Recognition study
7/3/24 [2023]Adding Conditional Control to Text-to-Image Diffusion Models study
7/1/24 July study
6/27/24 [2004]Visual Cotegorization with Bags of Keypoints study
6/27/24 [2015]VQA_Visual_Question_Answering study
6/27/24 [2016]Deep Residual Learning for Image Recognition study
6/27/24 [2021]Learning Transferable Visual Models From Natural Language Supervision study
6/21/24 [2024]Bridge the Gap Between CV and NLP! AGradient-based Textual Adversarial Attack Framework study
6/21/24 [2024]KAN: Kolmogorov–Arnold Networks study
6/21/24 [2024]RAFT Adapting Language Model to Domain Specific RAG study
6/19/24 [2024]ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer study
6/1/24 June study
5/21/24 [2023]Universal and Transferable Adversarial Attacks on Aligned Language Models study
5/21/24 [2020]AutoPrompt_Eliciting Knowledge from Language Models with Automatically Generated Prompts Generated Prompts study
5/19/24 [2018]Obfuscated Gradients Give a False Sense of Security_Circumventing Defenses to Adversarial Examples study
5/19/24 [2018]Generating Natural Language Adversarial Examples study
5/19/24 [2018]Semantically Equivalent Adversarial Rules for Debugging NLP models study
5/19/24 [2018]Adversarial Example Generation with Syntactically Controlled Paraphrase Networks study
5/18/24 [2018]SYNTHETIC AND NATURAL NOISE BOTH BREAK NEURAL MACHINE TRANSLATION study
5/18/24 [2018]GENERATING NATURAL ADVERSARIAL EXAMPLES study
5/18/24 [2017]Adversarial Examples for Evaluating Reading Comprehension Systems study
5/1/24 May study
4/28/24 [2024]Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts study
4/28/24 [2023]Evaluating the Zero shot Robustness of Instruction tuned Language Models study
4/28/24 [2023]On the Robustness of ChatGPT An Adversarial and Out of distribution Perspective study
4/28/24 [2021]Evaluating the Robustness of Neural Language Models to Input Perturbations study
4/19/24 [2019]Towards Deep Learning Models Resistant to Adversarial Attacks study
4/11/24 [2023]Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence: Chapter7: Adversarial Perturbation for Privacy Preservation study
4/10/24 [2023]Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence: Chapter6: Physical World Adversarial Attacks on Images and Texts study
4/8/24 [2023]Semantic Adversarial Attacks via Diffusion Models study
4/8/24 [2023]Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence: Chapter5: Adversarial Defense Mechanisms for Supervised Learning study
4/5/24 [2023]Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence: Chapter4: Game Theoretical Adversarial Deep Learning study
4/4/24 [2023]Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence: Chapter3: Adversarial Attack Surfaces study
4/3/24 [2023]Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence: Chapter2: Adversarial Deep Learning study study
4/2/24 [2023]Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence: Chapter1: Adversarial Machine Learning study
4/1/24 April study
3/30/24 [2023]CQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints study
3/29/24 [2023]LIMA: Less Is More for Alignment study
3/29/24 [2024]The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits study
3/24/24 [2023]TIES-MERGING: Resolving Interference When Merging Models study
3/24/24 [2023]SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling study
3/19/24 [2023]Mixtral of Experts study
3/19/24 [2023]Mistral 7B study
3/19/24 [2023]IsarPipeline: Combining MMseqs2 and PSI-BLAST to Quickly Generate Extensive Protein Sequence Alignment Profiles study
3/17/24 [2024]ChatQA: Building GPT-4 Level Conversational QA Models study
3/17/24 [2023]LLM-powered Data Augmentation for Enhanced Crosslingual Performance study
3/16/24 [2022] Improving Imbalanced Learning by Pre-finetuning with Data Augmentation study
3/5/24 [2022]Exploring Genomic Large Language Models: Bridging the Gap between Natural Language and Gene Sequences study
3/3/24 [2022]IsarPipeline: Combining MMseqs2 and PSI-BLAST to Quickly Generate Extensive Protein Sequence Alignment Profiles study
3/3/24 [2022]Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning study
3/3/24 [2023]DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains study
3/1/24 March study
2/23/24 [2024]Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs study
2/22/24 [2023]BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations study
2/20/24 [2023]Can NLIProvide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? study
2/15/24 [1990]Basic Local Alignment Search Tool study
2/15/24 [2015]Fast and sensitive protein alignment using DIAMOND study
2/15/24 [2017]MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets study
2/2/24 February study
1/29/24 [2020]iBLAST: Incremental BLAST of new sequences via automated e-value correction study
1/2/24 January study
12/31/23 [2022]DeepStruct: Pretraining of Language Models for Structure Prediction study
12/30/23 [2019]Language Models are Unsupervised Multitask Learners study
12/28/23 [2019]What does BERT learn about the structure of language? study
12/26/23 [2018]DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data study
12/21/23 [2022]Generative Biomedical Entity Linking Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning study
12/20/23 [2023]MEGARes and AMR++, v3.0: an updated comprehensive database of antimicrobial resistance determinants and an improved software pipeline for classification using high-throughput sequencing study
12/1/23 December study
11/28/23 [2019](Meta-MARC)Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences study
11/5/23 [2022]AMR-meta: a k-mer and metafeature approach to classify antimicrobial resistance from high-throughput short-read metagenomics data study
11/1/23 November study
10/4/23 October study
9/28/23 [2021]NOVEL APPROACHES TO MARKER GENE REPRESENTATION LEARNING SUING TRAINED TOKENIZERS AND JOINTLY TRAINED TRANSFORMER MODELS study
9/28/23 [2021-2023]DNABERTs study
9/25/23 September Papers study
9/17/23 [2022]Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning study
9/6/23 [2022]BERN2:an advanced neural biomedical named entity recognition and normalization tool study
9/4/23 Midterm Review study
9/1/23 Math and Machine Learning Study study
9/1/23 Bio Machine Learning Study study
9/1/23 Naver Boostcamp AI Tech study
9/1/23 September study
8/30/23 [2022]BioBART:Pretraining and Evaluation of A Biomedical Generative Language Model study
8/7/23 August Papers study
8/1/23 August study
7/31/23 [2022]Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework study
7/31/23 [2021]Can Language Models be Biomedical Knowledge Bases? study
7/30/23 [2023]Retentive Network: A Successor to Transformer for Large Language Models study
7/30/23 [2023]Self-Supervised Learning from Images with a Joint-Embedding Predictve Architecture study
7/26/23 FastAPI study
7/23/23 Elastic Search ELK study
7/16/23 Math & Statistics study
7/2/23 July study
6/27/23 [2019]How Contextual are Contextualized Word Representations? study
6/24/23 [2018]Improving Language Understanding by Generative Pre-Training study
6/21/23 [2022]ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction study
6/16/23 [2020]ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT study
6/1/23 June study
5/31/23 [2022]BERTopic: Neural topic modeling with a class-based TF-IDF procedure study
5/30/23 [2021]Korean Language Understanding Evaluation study
5/22/23 [2017]Focal Loss for Dense Object Detection study
5/10/23 [2022]An Improved Baseline for Sentence-level Relation Extraction study
5/1/23 May study
4/28/23 [2019]Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss study
4/22/23 [2020]ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators study
4/16/23 [2022]Training language models to follow instructions with human feedback study
4/4/23 [2018-2022]Papers related to BioNLP topics study
4/3/23 [2020]SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization study
4/3/23 April study
3/25/23 [2015]Effective Approaches to Attention-based Neural Machine Translation study
3/23/23 [2014]Sequence to Sequence Learning with Neural Networks study
3/15/23 [2021]A Gentle Introduction to Conformal Prediction and Distrubition-Free Uncertainty Quantification study
3/8/23 [2020-2022]Papers related to NLP topics study
3/4/23 [2020]Dense Passage Retrieval for Open-Domain QA study
3/3/23 [2022]Emp-RFT: Empathetic Response generation via Recognizing Feature Transitions between Utterances study
3/2/23 [2022]Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking study
3/2/23 March study
2/22/23 [2022-2023]Papers related to anormally detection, search, and db study
2/22/23 [2022]GRASP: Guiding model with RelAtional Semantics using Prompt study
2/17/23 [2022]Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning study
2/12/23 [2022]OCR-free Document Understanding Transformer(Donut) study
2/7/23 [2022]LinkBERT: Pretraining Language Models with Document Links study
2/4/23 [2022]Efficient Few-Shot Learning Without Prompts study
2/1/23 February study
1/23/23 [2020]GPT3_Language Models are Few-Shot Learners study
1/5/23 [2022]A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations study
1/1/23 Pythonic Topics study
1/1/23 January study
12/23/22 Exploring the Limits of Transfer Learning with a Unified Text_to_Text Transformer study
12/18/22 BART Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension study
12/6/22 December study
11/10/22 Multi-Task Deep Neural Network for Natural Language Understanding study
11/6/22 What Makes a Good Podcast Summary? study
11/1/22 November study
10/13/22 MobileBERT_a Compact Task-Agnostic BERT for REsource_Limited Devices study
10/9/22 RoBERTa_ A Robustly Optimized BERT Pretraining Approach study
10/5/22 Speaking Study study
10/3/22 October study
9/30/22 Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional Networks study
9/25/22 Sentence-BERT_Sentence Embeddings using Siamese BERT-Networks study
9/13/22 Structured Pruning Learns Compact and Accurate Models study
9/7/22 SimCSE_Simple Contrastive Learning of Sentence Embeddings study
9/5/22 September study
8/22/22 Recipes for Building an Open-Domain Chatbot study
8/21/22 Deep Neural Networks for YouTube Recommendations study
8/16/22 Eng Review study
8/7/22 Exposing the Limits of Video-Text Models through Contrast Sets study
8/1/22 August study
7/31/22 Tibero install and link with Python in Ubuntu study
7/27/22 Entity Cloze By Date- What LMs Know About Unseen Entities study
7/11/22 Writing Study study
7/11/22 Listening Study study
7/11/22 Reading Study study
7/3/22 July study
6/2/22 June study
5/31/22 Eng Speak Practice Additional study
5/18/22 Eng Write Practice Memo Note study
5/2/22 May study
4/4/22 April study
4/1/22 Eng Write Practice study
4/1/22 Eng Speak Practice study
3/31/22 Eng Words Tests study
3/31/22 Eng Words study
3/28/22 March week5 study
3/23/22 Eng Speaking study
3/23/22 Eng Writing study
3/21/22 March week4 study
2/21/22 Pythonic Codes pythonstudy
2/21/22 February week4 study
1/31/22 January week5 study
1/24/22 January week4 study
1/17/22 January week3 study
1/10/22 January week2 study
1/3/22 January week1 study
12/27/21 December week5 study
12/20/21 December week4 study
12/15/21 NLPs study
12/14/21 December week3 study
12/9/21 Rec-Sys study
12/9/21 [2018]Buy It Again: Modeling Repeat Purchase Recommendations study
12/7/21 Basics study
12/6/21 December week2 study
11/29/21 December week1 study
11/23/21 November week4 study
11/15/21 November week3 study
11/12/21 [2021]Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning study
11/8/21 November week2 study
11/8/21 [2017]Attention Is All You Need study
11/1/21 November week1 study
10/27/21 [2019]BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding study
10/25/21 October week5 study
10/21/21 October week4 study
10/15/21 [2021]Pay Attention to MLPs study
10/15/21 [2013]Distributed Representaions of Words and Phrases and their Compositionality study
8/4/21 AI CONCEPTS NOTE _NLPstudy
7/27/21 SPRING:SINGLETON study
7/21/21 CROSS ENTROPY _NLPstudy
7/19/21 SPRING? study
7/16/21 JPA Fetch Join study
7/13/21 JPA Lazy Loading study
7/9/21 JPA how to make DTO study
7/6/21 Why we use SPRING / JPA study