A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
2. 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,703
3. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
4. 2021SimCSE: Simple Contrastive Learning of Sentence Embeddingscited by 2,173
5. 2022Survey of Hallucination in Natural Language Generationcited by 2,075
6. 2022SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Modelscited by 1,386
7. 2021DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharingcited by 1,254
8. 2021What Makes Good In-Context Examples for GPT-3?cited by 1,195
9. 2021GLM: General Language Model Pretraining with Autoregressive Blank Infillingcited by 1,031
10. 2021Towards a Unified View of Parameter-Efficient Transfer Learningcited by 872
11. 2023Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generationcited by 819
12. 2023SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Modelscited by 810

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1. 2026Language Exposure Matters: Distribution and Order in Multilingual BabyLM Pre-training14 Oct 2026
2. 2026RA2: Retain-Anchored Attraction Preserves Forget-Adjacent Utility in LLM Unlearning14 Oct 2026
3. 2026Natural Language Processing for Aligning Readings with Learning Objectives and Assessing Topic Balance in Dental Education11 Oct 2026
4. 2026Learning Proposition-Level Links from Sentence-Level Supervision for Neuro-Symbolic NLI10 Oct 2026
5. 2026PGSB: Pretrained-Guided Shared Basis for LoRA Model Merging10 Oct 2026
6. 2026Embedding Graph Kernel Entropy (EGKE): Fine-grained Hallucination Detection for LLMs from Embeddings9 Oct 2026
7. 2026SanSi: A Looped Typed Decision Model for System 1.5 Thinking6 Oct 2026
8. 2026Harmful Content Generation in Text-to-Image Models: Capabilities and Moderation Limitations5 Oct 2026
9. 2026Adaptive Utilization of Low-Rank Adaptation via Conditioned Gating5 Oct 2026
10. 2026JIVEAdapter: A Multi-Task Additive Low-Rank Adapter via Joint and Individual Variation Explained (JIVE)4 Oct 2026
11. 2026Inductive Claims Extraction at Scale4 Oct 2026
12. 2026SearchJev: A Fast and Calibrated System-1 Model for Search Agents4 Oct 2026

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1. 2022Large Language Models Can Self-Improvecited by 664
2. 2022Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionalitycited by 529
3. 2022FOLIO: Natural Language Reasoning with First-Order Logiccited by 235
4. 2023Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4cited by 202
5. 2022Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanationscited by 159
6. 2023Fact-Checking Complex Claims with Program-Guided Reasoningcited by 146
7. 2023Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineeringcited by 94
8. 2022On the Paradox of Learning to Reason from Datacited by 93
9. 2023ReCEval: Evaluating Reasoning Chains via Correctness and Informativenesscited by 77
10. 2022LAMBADA: Backward Chaining for Automated Reasoning in Natural Languagecited by 66
11. 2024A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chainscited by 65
12. 2024Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learningcited by 65

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1. 2026SanSi: A Looped Typed Decision Model for System 1.5 Thinking6 Oct 2026
2. 2026CoEM: Empowering Long-Context Reasoning with Commit-on-Evidence Memory29 Sep 2026
3. 2026GRUET: Quantifying Uncertainty of Agentic Reasoning-and-Acting Processes21 Sep 2026
4. 2026GUT: Quantifying and Optimizing the Reasoning Uncertainty of LLMs via Graph Complexity4 Sep 2026
5. 2026Rethinking Factor Sharing in Federated LoRA: A Rank-Aware Adaptive Approach10 Aug 2026
6. 2026Two Regimes of Chain-of-Thought Unfaithfulness: Metric-Based Detection Fails Where Models Are Wrong26 Jul 2026
7. 2026Reference-Free Evaluation of Reasoning in Open-Ended Question Answering22 Jul 2026
8. 2026TruthSplit: Operationalizing Conditional Validity in Arguments Through Multi-Perspective Reasoning8 Jun 2026
9. 2026Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMs9 Apr 2026
10. 2026CORE: Comprehensive Ontological Relation Evaluation for Large Language Models6 Feb 2026
11. 2025Hard Negative Sample-Augmented DPO Post-Training for Small Language Models17 Dec 2025
12. 2025Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective13 Dec 2025

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1. 2021Symbolic Knowledge Distillation: from General Language Models to Commonsense Modelscited by 270
2. 2021Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspectivecited by 119
3. 2021Annealing Knowledge Distillationcited by 61
4. 2021BERT Learns to Teach: Knowledge Distillation with Meta Learningcited by 61
5. 2021Dynamic Knowledge Distillation for Pre-trained Language Modelscited by 38
6. 2023AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compressioncited by 26
7. 2023HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformerscited by 25
8. 2023Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillationcited by 25
9. 2021Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillationcited by 22
10. 2021VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfercited by 22
11. 2022Extreme Compression for Pre-trained Transformers Made Simple and Efficientcited by 19
12. 2023On student-teacher deviations in distillation: does it pay to disobey?cited by 16

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1. 2026Do Student LLMs Inherit OOD Robustness? Invariance-Weighted Distillation for Reliable Knowledge Transfer18 Sep 2026
2. 2026Multi-Aspect Knowledge Distillation for Language Model with Low-rank Factorization3 Apr 2026
3. 2025Model Merging via Multi-Teacher Knowledge Distillation24 Dec 2025
4. 2025Do Students Debias Like Teachers? On the Distillability of Bias Mitigation Methods30 Oct 2025
5. 2025Improving Group Fairness in Knowledge Distillation via Laplace Approximation of Early Exits2 May 2025
6. 2025Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn't Matter (Much)6 Feb 2025
7. 2025Knowledge Distillation with Adapted Weight6 Jan 2025
8. 2024In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning17 Dec 2024
9. 2024Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models25 Nov 2024
10. 2024Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation30 Oct 2024
11. 2024MLKD-BERT: Multi-level Knowledge Distillation for Pre-trained Language Models3 Jul 2024
12. 2024Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages18 Jun 2024

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1. 2021Efficient Large Scale Language Modeling with Mixtures of Expertscited by 175
2. 2021MoEfication: Transformer Feed-forward Layers are Mixtures of Expertscited by 152
3. 2023Soft Merging of Experts with Adaptive Routingcited by 90
4. 2022Task-Specific Expert Pruning for Sparse Mixture-of-Expertscited by 72
5. 2022Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learnerscited by 51
6. 2025Advancing Expert Specialization for Better MoEcited by 39
7. 2022MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptationcited by 37
8. 2024HyperMoE: Towards Better Mixture of Experts via Transferring Among Expertscited by 26
9. 2023Lifting the Curse of Capacity Gap in Distilling Language Modelscited by 25
10. 2025Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignmentcited by 23
11. 2024DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts Modelscited by 15
12. 2022MoEC: Mixture of Expert Clusterscited by 14

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1. 2026Share First, Route What Remains: A Unified Framework for Token-Adaptive MoE Computation11 Aug 2026
2. 2026φ-Balancing for Mixture-of-Experts Training14 May 2026
3. 2026Expert Pyramid Tuning: Efficient Parameter Fine-Tuning for Expertise-Driven Task Allocation13 Mar 2026
4. 2026Grouter: Decoupling Routing from Representation for Accelerated MoE Training22 Feb 2026
5. 2026Geometry-Preserving Aggregation for Mixture-of-Experts Embedding Models15 Feb 2026
6. 2025Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models25 Nov 2025
7. 2025Expert Merging in Sparse Mixture of Experts with Nash Bargaining17 Oct 2025
8. 2025Mixture of Neuron Experts7 Oct 2025
9. 2025Dynamic Adaptive Shared Experts with Grouped Multi-Head Attention Mixture of Experts5 Sep 2025
10. 2025Advancing Expert Specialization for Better MoE28 May 2025
11. 2025Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference19 May 2025
12. 2025TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts29 Apr 2025

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1. 2021SimVLM: Simple Visual Language Model Pretraining with Weak Supervisioncited by 647
2. 2023LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Modelscited by 217
3. 2023Scaling Vision-Language Models with Sparse Mixture of Expertscited by 88
4. 2024MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Modelscited by 53
5. 2025Scaling Language-Centric Omnimodal Representation Learningcited by 22
6. 2022UNIMO-2: End-to-End Unified Vision-Language Grounded Learningcited by 19
7. 2024Understanding Figurative Meaning through Explainable Visual Entailmentcited by 19
8. 2022Write and Paint: Generative Vision-Language Models are Unified Modal Learnerscited by 17
9. 2025Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?cited by 14
10. 2022VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Modelscited by 11
11. 2024Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Featurescited by 11
12. 2025Just Noticeable Difference for Large Multimodal Modelscited by 9

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1. 2026From Knowing to Abstaining: Bridging the Representation-Action Gap in Vision-Language Models26 Sep 2026
2. 2026SafetyALFRED: Evaluating Safety-Conscious Planning of Multimodal Large Language Models21 Apr 2026
3. 2026From Images to Words: Efficient Cross-Modal Knowledge Distillation to Language Models from Black-box Teachers11 Mar 2026
4. 2025HEDGE: Hallucination Estimation via Dense Geometric Entropy for VQA with Vision-Language Models16 Nov 2025
5. 2025Scaling Language-Centric Omnimodal Representation Learning13 Oct 2025
6. 2025A Structured Framework for Evaluating and Enhancing Interpretive Capabilities of Multimodal LLMs in Culturally Situated Tasks27 Sep 2025
7. 2025Multilingual Vision-Language Models, A Survey26 Sep 2025
8. 2025Multimodal LLMs See Sentiment23 Aug 2025
9. 2025Just Noticeable Difference for Large Multimodal Models1 Jul 2025
10. 2025Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?23 Jun 2025
11. 2025Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model29 May 2025
12. 2025Large (Vision) Language Models are Unsupervised In-Context Learners3 Apr 2025

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1. 2023Making Retrieval-Augmented Language Models Robust to Irrelevant Contextcited by 369
2. 2024MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documentscited by 257
3. 2023A Multi-Task Embedder For Retrieval Augmented LLMscited by 64
4. 2022Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learningcited by 36
5. 2022Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languagescited by 17
6. 2024Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metricscited by 17
7. 2025Uncertainty Quantification in Retrieval Augmented Question Answeringcited by 8
8. 2025Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorizationcited by 8
9. 2024A Theory for Token-Level Harmonization in Retrieval-Augmented Generationcited by 7
10. 2024Improve Dense Passage Retrieval with Entailment Tuningcited by 7
11. 2025LegalWiz: A Multi-Agent Generation Framework for Contradiction Detection in Legal Documentscited by 7
12. 2024Evaluating and Safeguarding the Adversarial Robustness of Retrieval-Based In-Context Learningcited by 4

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1. 2026The Attribution-Compression Frontier in Retrieval-Augmented Generation13 Sep 2026
2. 2026Learning What to Fail On: Failure-Mode Contextual Bandits for Adversarial Data Curation19 Aug 2026
3. 2026Verification Without Sufficiency: Per-Chunk Filtering Fails on Multi-Hop RAG, and Decomposition Repairs It1 Aug 2026
4. 2026TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluation3 Jul 2026
5. 2026EmbeddingRWKV: State-Centric Retrieval with Reusable States10 Jan 2026
6. 2025Retrieval-augmented Prompt Learning for Pre-trained Foundation Models23 Dec 2025
7. 2025The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems17 Dec 2025
8. 2025AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African Languages27 Oct 2025
9. 2025LegalWiz: A Multi-Agent Generation Framework for Contradiction Detection in Legal Documents3 Oct 2025
10. 2025Probabilistic distances-based hallucination detection in LLMs with RAG11 Jun 2025
11. 2025Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization27 Feb 2025
12. 2025Uncertainty Quantification in Retrieval Augmented Question Answering25 Feb 2025

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1. 2023PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Promptscited by 226
2. 2023Watermarking Text Generated by Black-Box Language Modelscited by 76
3. 2021Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasurescited by 73
4. 2022Privacy Adhering Machine Un-learning in NLPcited by 36
5. 2023Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systemscited by 11
6. 2023Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Modelscited by 7
7. 2024Stylometric Watermarks for Large Language Modelscited by 4
8. 2025Group-robust Machine Unlearningcited by 3
9. 2025Safety-Preserving PTQ via Contrastive Alignment Losscited by 3
10. 2022Apple of Sodom: Hidden Backdoors in Superior Sentence Embeddings via Contrastive Learningcited by 2
11. 2025Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deploymentcited by 1
12. 2026Data-Free Privacy-Preserving for LLMs via Model Inversion and Selective Unlearningcited by 1

12 most cited of 21 · All 21 (JSON)

1. 2026RA2: Retain-Anchored Attraction Preserves Forget-Adjacent Utility in LLM Unlearning14 Oct 2026
2. 2026Harmful Content Generation in Text-to-Image Models: Capabilities and Moderation Limitations5 Oct 2026
3. 2026Trivial Prompt Reframing Bypasses Safety Guardrails in Google's MedGemma-4B9 Jul 2026
4. 2026Between Suppression and Collapse: Evaluating Narrative Unlearning with LENS27 Jun 2026
5. 2026Distilling Linearized Behavior into Non-Linear Fine-Tuning for Effective Task Arithmetic18 May 2026
6. 2026ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models16 May 2026
7. 2026MetaBackdoor: Exploiting Positional Encoding as a Backdoor Attack Surface in LLMs14 May 2026
8. 2026Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs8 Mar 2026
9. 2026LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector Alignment27 Jan 2026
10. 2026Data-Free Privacy-Preserving for LLMs via Model Inversion and Selective Unlearning22 Jan 2026
11. 2025Safety-Preserving PTQ via Contrastive Alignment Loss11 Nov 2025
12. 2025Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment28 May 2025

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1. 2021Learned Token Pruning for Transformerscited by 139
2. 2021Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challengescited by 115
3. 2022The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Modelscited by 115
4. 2022Token Dropping for Efficient BERT Pretrainingcited by 42
5. 2024MrT5: Dynamic Token Merging for Efficient Byte-level Language Modelscited by 28
6. 2023Dynamic Transformers Provide a False Sense of Efficiencycited by 14
7. 2023Revisiting Token Dropping Strategy in Efficient BERT Pretrainingcited by 11
8. 2023SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inferencecited by 9
9. 2024When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Modelscited by 9
10. 2025Reconstructing KV Caches with Cross-layer Fusion For Enhanced Transformerscited by 6
11. 2023Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settingscited by 5
12. 2023A Dataflow Compiler for Efficient LLM Inference using Custom Microscaling Formatscited by 2

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1. 2026Similarity Is Not Validity: Defending LLM Semantic Caches Against Poisoning28 Sep 2026
2. 2026LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference1 May 2026
3. 2025Reconstructing KV Caches with Cross-layer Fusion For Enhanced Transformers3 Dec 2025
4. 2024BEExformer: A Fast Inferencing Binarized Transformer with Early Exits6 Dec 2024
5. 2024MrT5: Dynamic Token Merging for Efficient Byte-level Language Models28 Oct 2024
6. 2024When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models11 Jun 2024
7. 2023A Dataflow Compiler for Efficient LLM Inference using Custom Microscaling Formats28 Jul 2023
8. 2023Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings4 Jun 2023
9. 2023Revisiting Token Dropping Strategy in Efficient BERT Pretraining24 May 2023
10. 2023Dynamic Transformers Provide a False Sense of Efficiency20 May 2023
11. 2023SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference16 Mar 2023
12. 2022Token Dropping for Efficient BERT Pretraining24 Mar 2022

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1. 2021STraTA: Self-Training with Task Augmentation for Better Few-shot Learningcited by 33
2. 2022Zero-Shot Text Classification with Self-Trainingcited by 26
3. 2021Revisiting Self-Training for Few-Shot Learning of Language Modelcited by 23
4. 2024DataGen: Unified Synthetic Dataset Generation via Large Language Modelscited by 23
5. 2024A synthetic data approach for domain generalization of NLI modelscited by 15
6. 2021LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learnerscited by 9
7. 2024Self-training Large Language Models through Knowledge Detectioncited by 8
8. 2023Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understandingcited by 3
9. 2025Does Training on Synthetic Data Make Models Less Robust?cited by 3
10. 2024Generating Synthetic Datasets for Few-shot Prompt Tuningcited by 1
11. 2025Concept-based Rubrics Improve LLM Formative Assessment and Data Synthesiscited by 1
12. 2023Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settingscited by 0

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1. 2026Bootstrapping Embeddings for Low Resource Languages2 Mar 2026
2. 2025SynClaimEval: A Framework for Evaluating the Utility of Synthetic Data in Long-Context Claim Verification12 Nov 2025
3. 2025Concept-based Rubrics Improve LLM Formative Assessment and Data Synthesis4 Apr 2025
4. 2025Does Training on Synthetic Data Make Models Less Robust?11 Feb 2025
5. 2024Generating Synthetic Datasets for Few-shot Prompt Tuning8 Oct 2024
6. 2024DataGen: Unified Synthetic Dataset Generation via Large Language Models27 Jun 2024
7. 2024Self-training Large Language Models through Knowledge Detection17 Jun 2024
8. 2024BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses2 Mar 2024
9. 2024A synthetic data approach for domain generalization of NLI models19 Feb 2024
10. 2023Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settings30 Oct 2023
11. 2023Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding19 Oct 2023
12. 2022Zero-Shot Text Classification with Self-Training31 Oct 2022

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1. 2023Pretraining Language Models with Human Preferencescited by 247
2. 2023Understanding Catastrophic Forgetting in Language Models via Implicit Inferencecited by 144
3. 2023Improving Contrastive Learning of Sentence Embeddings from AI Feedbackcited by 29
4. 2024A Survey on the Honesty of Large Language Modelscited by 23
5. 2017Reinforced Video Captioning with Entailment Rewardscited by 21
6. 2025Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Testscited by 19
7. 2025Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filteringcited by 12
8. 2026FeedEval: Pedagogically Aligned Evaluation of LLM-Generated Essay Feedbackcited by 4
9. 2025GREAT: Generalizable Backdoor Attacks in RLHF via Emotion-Aware Trigger Synthesiscited by 1
10. 2026SemPA: Improving Sentence Embeddings of Large Language Models through Semantic Preference Alignmentcited by 1
11. 2026Learning Concepts, Not Tokens: Self-Supervised Semantic Alignment for Language Modelscited by 1
12. 2024Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systemscited by 0

1. 2026Learning Concepts, Not Tokens: Self-Supervised Semantic Alignment for Language Models31 Mar 2026
2. 2026SemPA: Improving Sentence Embeddings of Large Language Models through Semantic Preference Alignment8 Jan 2026
3. 2026FeedEval: Pedagogically Aligned Evaluation of LLM-Generated Essay Feedback8 Jan 2026
4. 2025GREAT: Generalizable Backdoor Attacks in RLHF via Emotion-Aware Trigger Synthesis10 Oct 2025
5. 2025Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Tests8 Jul 2025
6. 2025Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering11 Feb 2025
7. 2024A Survey on the Honesty of Large Language Models27 Sep 2024
8. 2024Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems26 Jun 2024
9. 2023Understanding Catastrophic Forgetting in Language Models via Implicit Inference18 Sep 2023
10. 2023Improving Contrastive Learning of Sentence Embeddings from AI Feedback3 May 2023
11. 2023Pretraining Language Models with Human Preferences16 Feb 2023
12. 2017Reinforced Video Captioning with Entailment Rewards7 Aug 2017

1. 2026MASCOT: Multi-Agent Socio-Collaborative Companion Systemscited by 7
2. 2026MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detectioncited by 7
3. 2022DialogueScript: Using Dialogue Agents to Produce a Scriptcited by 2
4. 2025Agentic AI for Clustering, Relationship Discovery, and Semantic Trading in Prediction Marketscited by 2
5. 2023RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Trainingcited by 1
6. 2026Neural Router: Semantic Content Matching for Agentic AIcited by 1
7. 2026SearchJev: A Fast and Calibrated System-1 Model for Search Agentscited by 1
8. 2026SoK: AI Secure Code Generation: Progress, Pitfalls, and Paths Forwardcited by 0
9. 2026SAGE: State-Grounded, Abstention-Aware Evaluation of Task-Oriented Dialogue Agentscited by 0

1. 2026SearchJev: A Fast and Calibrated System-1 Model for Search Agents4 Oct 2026
2. 2026SAGE: State-Grounded, Abstention-Aware Evaluation of Task-Oriented Dialogue Agents31 Aug 2026
3. 2026SoK: AI Secure Code Generation: Progress, Pitfalls, and Paths Forward23 Jun 2026
4. 2026Neural Router: Semantic Content Matching for Agentic AI25 May 2026
5. 2026MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection22 May 2026
6. 2026MASCOT: Multi-Agent Socio-Collaborative Companion Systems20 Jan 2026
7. 2025Agentic AI for Clustering, Relationship Discovery, and Semantic Trading in Prediction Markets2 Dec 2025
8. 2023RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training15 Oct 2023
9. 2022DialogueScript: Using Dialogue Agents to Produce a Script16 Jun 2022

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2. 2025No Training Wheels: Steering Vectors for Bias Correction at Inference Timecited by 2
3. 2026What Does Activation Steering Control? Attribution Across Answer Encodings and Output-Sensitive Subspacescited by 1
4. 2026A Mechanistic Investigation of Supervised Fine Tuningcited by 0
5. 2026Whitening Improves Robustness to Spurious Correlations in Linear Probescited by 0

1. 2026Whitening Improves Robustness to Spurious Correlations in Linear Probes30 Sep 2026
2. 2026What Does Activation Steering Control? Attribution Across Answer Encodings and Output-Sensitive Subspaces24 Aug 2026
3. 2026A Mechanistic Investigation of Supervised Fine Tuning12 May 2026
4. 2025Enhancing Cross-task Transfer of Large Language Models via Activation Steering17 Jul 2025
5. 2025No Training Wheels: Steering Vectors for Bias Correction at Inference Time23 Jun 2025

1. 2023TESS: Text-to-Text Self-Conditioned Simplex Diffusioncited by 65
2. 2024A Survey on Data Augmentation in Large Model Eracited by 31
3. 2023MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generationcited by 15
4. 2023How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?cited by 0

1. 2024A Survey on Data Augmentation in Large Model Era27 Jan 2024
2. 2023How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?26 Jul 2023
3. 2023MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation24 May 2023
4. 2023TESS: Text-to-Text Self-Conditioned Simplex Diffusion15 May 2023

1. 2026HiEdit: Lifelong Model Editing with Hierarchical Reinforcement Learningcited by 1

1. 2026HiEdit: Lifelong Model Editing with Hierarchical Reinforcement Learning13 Apr 2026

1. 2026Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitationcited by 0

1. 2026Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation12 May 2026

1. 2024Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Modelscited by 55

1. 2024Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models15 May 2024

1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
2. 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,703
3. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
4. 2021SimCSE: Simple Contrastive Learning of Sentence Embeddingscited by 2,173
5. 2022Survey of Hallucination in Natural Language Generationcited by 2,075
6. 2022SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Modelscited by 1,386
7. 2021DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharingcited by 1,254
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