{"total":15,"rows":[{"id":"2406.00922","title":"MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning","created":"2024-06-03","cited_by_count":154,"area":"lr"},{"id":"2503.22674","title":"QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?","created":"2025-03-28","cited_by_count":63,"area":"lr"},{"id":"2409.09584","title":"RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation","created":"2024-09-15","cited_by_count":26,"area":"lr"},{"id":"2502.14860","title":"ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning","created":"2025-02-20","cited_by_count":25,"area":"lr"},{"id":"2505.19184","title":"When Two LLMs Debate, Both Think They'll Win","created":"2025-05-25","cited_by_count":10,"area":"lr"},{"id":"2512.16917","title":"Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning","created":"2025-12-18","cited_by_count":6,"area":"lr"},{"id":"2605.01345","title":"The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design","created":"2026-05-02","cited_by_count":3,"area":"lr"},{"id":"2602.02550","title":"HyPAC: Cost-Efficient LLMs-Human Hybrid Annotation with PAC Error Guarantees","created":"2026-01-30","cited_by_count":1,"area":"lr"},{"id":"2605.28160","title":"Look on Demand: A Cognitive Scheduling Framework for Visual Evidence Acquisition in Multimodal Reasoning","created":"2026-05-27","cited_by_count":1,"area":"lr"},{"id":"2605.05386","title":"BALAR : A Bayesian Agentic Loop for Active Reasoning","created":"2026-05-06","cited_by_count":0,"area":"lr"},{"id":"2606.01182","title":"CA-BED: Conversation-Aware Bayesian Experimental Design","created":"2026-05-31","cited_by_count":0,"area":"lr"},{"id":"2606.13634","title":"Operads for compositional reasoning in LLMs","created":"2026-06-11","cited_by_count":0,"area":"lr"},{"id":"2606.13649","title":"Operadic consistency: a label-free signal for compositional reasoning failures in LLMs","created":"2026-06-11","cited_by_count":0,"area":"lr"},{"id":"2608.16554","title":"Ask, Condition or Abstain: Reinforcement Learning for Missing-Premise Reasoning","created":"2026-08-17","cited_by_count":0,"area":"lr"},{"id":"2610.07751","title":"How Well Do LLMs Reason with Noisy Evidence? An Active Visual Reasoning Benchmark","created":"2026-10-06","cited_by_count":0,"area":"lr"}],"next_cursor":null}