{"total":49,"rows":[{"id":"2504.10479","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","created":"2025-04-14","cited_by_count":1834,"area":null},{"id":"2407.13692","title":"Prover-Verifier Games improve legibility of LLM outputs","created":"2024-07-18","cited_by_count":85,"area":null},{"id":"2410.03608","title":"TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation","created":"2024-10-04","cited_by_count":68,"area":null},{"id":"2407.15017","title":"Knowledge Mechanisms in Large Language Models: A Survey and Perspective","created":"2024-07-22","cited_by_count":51,"area":null},{"id":"2410.07137","title":"Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates","created":"2024-10-09","cited_by_count":45,"area":null},{"id":"2408.08781","title":"Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions","created":"2024-08-16","cited_by_count":34,"area":null},{"id":"2507.10535","title":"CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks","created":"2025-07-14","cited_by_count":33,"area":null},{"id":"2410.07927","title":"Efficient Reinforcement Learning with Large Language Model Priors","created":"2024-10-10","cited_by_count":30,"area":null},{"id":"2410.03837","title":"Learning Code Preference via Synthetic Evolution","created":"2024-10-04","cited_by_count":19,"area":null},{"id":"2411.11910","title":"AIGS: Generating Science from AI-Powered Automated Falsification","created":"2024-11-17","cited_by_count":18,"area":null},{"id":"2505.00662","title":"DeepCritic: Deliberate Critique with Large Language Models","created":"2025-05-01","cited_by_count":17,"area":null},{"id":"2409.19182","title":"Artificial-Intelligence Generated Code Considered Harmful: A Road Map for Secure and High-Quality Code Generation","created":"2024-09-27","cited_by_count":12,"area":null},{"id":"2408.07461","title":"Problem Solving Through Human-AI Preference-Based Cooperation","created":"2024-08-14","cited_by_count":11,"area":null},{"id":"2506.10139","title":"Unsupervised Elicitation of Language Models","created":"2025-06-11","cited_by_count":11,"area":null},{"id":"2506.11022","title":"Security Degradation in Iterative AI Code Generation -- A Systematic Analysis of the Paradox","created":"2025-05-19","cited_by_count":10,"area":null},{"id":"2502.16706","title":"DISC: Dynamic Decomposition Improves LLM Inference Scaling","created":"2025-02-23","cited_by_count":9,"area":null},{"id":"2412.11656","title":"Private Yet Social: How LLM Chatbots Support and Challenge Eating Disorder Recovery","created":"2024-12-16","cited_by_count":8,"area":null},{"id":"2501.13124","title":"Debate Helps Weak-to-Strong Generalization","created":"2025-01-21","cited_by_count":8,"area":null},{"id":"2502.02095","title":"LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information","created":"2025-02-04","cited_by_count":8,"area":null},{"id":"2506.22157","title":"Training Language Model to Critique for Better Refinement","created":"2025-06-27","cited_by_count":7,"area":null},{"id":"2508.21061","title":"OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models","created":"2025-08-28","cited_by_count":7,"area":null},{"id":"2408.08779","title":"DAC: Decomposed Automation Correction for Text-to-SQL","created":"2024-08-16","cited_by_count":6,"area":null},{"id":"2508.12040","title":"Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation","created":"2025-08-16","cited_by_count":6,"area":null},{"id":"2606.00424","title":"Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight","created":"2026-05-29","cited_by_count":6,"area":null},{"id":"2510.17793","title":"Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains","created":"2025-10-20","cited_by_count":5,"area":null},{"id":"2607.16387","title":"Fantastic Adaptive Taxonomies and How to Use Them","created":"2026-07-17","cited_by_count":4,"area":null},{"id":"2409.10702","title":"Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs","created":"2024-09-16","cited_by_count":3,"area":null},{"id":"2503.22989","title":"FindTheFlaws: Annotated Errors for Detecting Flawed Reasoning and Scalable Oversight Research","created":"2025-03-29","cited_by_count":3,"area":null},{"id":"2510.26518","title":"Human-AI Complementarity: A Goal for Amplified Oversight","created":"2025-10-30","cited_by_count":3,"area":null},{"id":"2604.21718","title":"Building a Precise Video Language with Human-AI Oversight","created":"2026-04-22","cited_by_count":3,"area":null},{"id":"2412.07019","title":"Assessing the Impact of Conspiracy Theories Using Large Language Models","created":"2024-12-09","cited_by_count":2,"area":null},{"id":"2412.20340","title":"Distilling Desired Comments for Enhanced Code Review with Large Language Models","created":"2024-12-29","cited_by_count":2,"area":null},{"id":"2602.04210","title":"Steering LLMs via Scalable Interactive Oversight","created":"2026-02-04","cited_by_count":2,"area":null},{"id":"2605.01643","title":"AI Alignment via Incentives and Correction","created":"2026-05-02","cited_by_count":2,"area":null},{"id":"2608.01000","title":"Judging Is Not Enumerating: Silent Omissions in LLM-Authored Acceptable Sets","created":"2026-08-02","cited_by_count":2,"area":null},{"id":"2410.22082","title":"An Actor-Critic Approach to Boosting Text-to-SQL Large Language Model","created":"2024-10-28","cited_by_count":1,"area":null},{"id":"2504.07316","title":"Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong Generalization","created":"2025-04-09","cited_by_count":1,"area":null},{"id":"2605.27483","title":"Debate Helps Weak Judges Reward Stronger Models","created":"2026-05-26","cited_by_count":1,"area":null},{"id":"2607.07779","title":"From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier","created":"2026-07-08","cited_by_count":1,"area":null},{"id":"2607.27499","title":"A dataset of rated conceptual arguments","created":"2026-07-29","cited_by_count":1,"area":null},{"id":"2608.11341","title":"Apodex Discovery: Reality Benchmarks and Environments for Evaluating and Building Discoverative Artificial Intelligence","created":"2026-08-11","cited_by_count":1,"area":null},{"id":"2412.16238","title":"Algebraic Evaluation Theorems","created":"2024-12-19","cited_by_count":0,"area":null},{"id":"2601.18949","title":"Tricky$^2$: Towards a Benchmark for Evaluating Human and LLM Error Interactions","created":"2026-01-26","cited_by_count":0,"area":null},{"id":"2605.08321","title":"LLM Wardens: Mitigating Adversarial Persuasion with Third-Party Conversational Oversight","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.23108","title":"Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empirical Study","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2606.11379","title":"Automated Mediator for Human Negotiation: Pre-Mediation via a Structured LLM Pipeline","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2607.28439","title":"Beyond a Single Judge: The Evidence-Grounded, Social-Weighted Persona Panel for Generative UI Evaluation","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2609.15851","title":"Learning to Coach for Experiential Learning","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2610.17697","title":"LeanPRM: Lean-Grounded Process Supervision for Natural Language Proof Verification","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}