{"total":19,"rows":[{"id":"2504.16828","title":"Process Reward Models That Think","created":"2025-04-23","cited_by_count":118,"area":"lr"},{"id":"2411.16646","title":"Self-Generated Critiques Boost Reward Modeling for Language Models","created":"2024-11-25","cited_by_count":71,"area":"lr"},{"id":"2602.05125","title":"Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks","created":"2026-02-04","cited_by_count":62,"area":"lr"},{"id":"2501.02497","title":"A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning","created":"2025-01-05","cited_by_count":40,"area":"lr"},{"id":"2409.04168","title":"From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks","created":"2024-09-06","cited_by_count":22,"area":"lr"},{"id":"2502.15799","title":"Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models","created":"2025-02-18","cited_by_count":18,"area":"lr"},{"id":"2512.03109","title":"E-valuator: Reliable Agent Verifiers with Sequential Hypothesis Testing","created":"2025-12-02","cited_by_count":17,"area":"lr"},{"id":"2505.17267","title":"GreekBarBench: A Challenging Benchmark for Free-Text Legal Reasoning and Citations","created":"2025-05-22","cited_by_count":15,"area":"lr"},{"id":"2507.12399","title":"ROC-n-reroll: How verifier imperfection affects test-time scaling","created":"2025-07-16","cited_by_count":12,"area":"lr"},{"id":"2510.07243","title":"LeMAJ (Legal LLM-as-a-Judge): Bridging Legal Reasoning and LLM Evaluation","created":"2025-10-08","cited_by_count":10,"area":"lr"},{"id":"2505.18601","title":"Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators","created":"2025-05-24","cited_by_count":6,"area":"lr"},{"id":"2506.10903","title":"Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning","created":"2025-06-12","cited_by_count":6,"area":"lr"},{"id":"2506.23864","title":"Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About It","created":"2025-06-30","cited_by_count":5,"area":"lr"},{"id":"2409.11074","title":"RoMath: A Mathematical Reasoning Benchmark in Romanian","created":"2024-09-17","cited_by_count":2,"area":"lr"},{"id":"2410.16924","title":"SleepCoT: A Lightweight Personalized Sleep Health Model via Chain-of-Thought Distillation","created":"2024-10-22","cited_by_count":1,"area":"lr"},{"id":"2502.16989","title":"All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark","created":"2025-02-24","cited_by_count":1,"area":"lr"},{"id":"2509.25941","title":"Boosting Process-Correct CoT Reasoning by Modeling Solvability of Multiple-Choice QA","created":"2025-09-30","cited_by_count":0,"area":"lr"},{"id":"2511.23059","title":"Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework","created":"2025-11-28","cited_by_count":0,"area":"lr"},{"id":"2512.01198","title":"Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework","created":"2025-12-01","cited_by_count":0,"area":"lr"}],"next_cursor":null}