{"total":21,"rows":[{"id":"2404.04475","title":"Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators","created":"2024-04-06","cited_by_count":897,"area":null},{"id":"2502.07640","title":"Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving","created":"2025-02-11","cited_by_count":133,"area":null},{"id":"2406.17744","title":"Following Length Constraints in Instructions","created":"2024-06-25","cited_by_count":46,"area":null},{"id":"2402.12715","title":"The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning","created":"2024-02-20","cited_by_count":41,"area":null},{"id":"2412.09569","title":"JuStRank: Benchmarking LLM Judges for System Ranking","created":"2024-12-12","cited_by_count":29,"area":null},{"id":"2602.01601","title":"Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards","created":"2026-02-02","cited_by_count":17,"area":null},{"id":"2503.19092","title":"Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation","created":"2025-03-24","cited_by_count":15,"area":null},{"id":"2507.07484","title":"Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models","created":"2025-07-10","cited_by_count":7,"area":null},{"id":"2504.05321","title":"VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search","created":"2025-02-25","cited_by_count":5,"area":null},{"id":"2406.16229","title":"Multi-Objective Linguistic Control of Large Language Models","created":"2024-06-23","cited_by_count":4,"area":null},{"id":"2605.04431","title":"Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning","created":"2026-05-06","cited_by_count":3,"area":null},{"id":"2509.22818","title":"Can Large Language Models Develop Gambling Addiction?","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2510.00034","title":"Review of Hallucination Understanding in Large Language and Vision Models","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2608.07565","title":"What to Edit Next: Visually Aligned Image-Editing Follow-Up Suggestions in Conversational Systems","created":"2026-08-03","cited_by_count":2,"area":null},{"id":"2606.11616","title":"DeMix: Debugging Training Data with Mixed Data Error Types by Investigating Influence Vectors","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2607.18508","title":"Style over Substance: A Shortcut Audit of Emotion-Description Preference Evaluation","created":"2026-07-20","cited_by_count":1,"area":null},{"id":"2609.03955","title":"Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs","created":"2026-09-03","cited_by_count":1,"area":null},{"id":"2608.13622","title":"ARC: Fair Relative Advantage Comparison in Open-Ended Real-World Interaction","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2608.23830","title":"Mitigating Exploration Bias in RL for Multi-Instruction Following","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.11291","title":"Off-Target Effects of Response-Style Alignment in a Korean 27B Language Model","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2610.16070","title":"Understanding and Reducing Misalignment in Persuasion Optimization","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}