Copertina

Process-Supervised Multi-Agent Reinforcement Learning for Reliable Clinical Reasoning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lee, Chaeeun, Yates, T. Michael, Minervini, Pasquale, Simpson, T. Ian
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints
di: Gema, Aryo Pradipta, et al.
Pubblicazione: (2024)

FREESON: Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS
di: Kim, Chaeeun, et al.
Pubblicazione: (2025)

SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages
di: Ghazaryan, Gayane, et al.
Pubblicazione: (2024)

Low-Rank Compression of Language Models via Differentiable Rank Selection
di: Sundrani, Sidhant, et al.
Pubblicazione: (2025)

MedMMV: A Controllable Multimodal Multi-Agent Framework for Reliable and Verifiable Clinical Reasoning
di: Liu, Hongjun, et al.
Pubblicazione: (2025)

Evaluating and Safeguarding the Adversarial Robustness of Retrieval-Based In-Context Learning
di: Yu, Simon, et al.
Pubblicazione: (2024)

VLM-RobustBench: A Comprehensive Benchmark for Robustness of Vision-Language Models
di: Saxena, Rohit, et al.
Pubblicazione: (2026)

On the Independence Assumption in Neurosymbolic Learning
di: van Krieken, Emile, et al.
Pubblicazione: (2024)

Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning
di: Ding, Fei, et al.
Pubblicazione: (2026)

Multi-Agent Collaborative Reward Design for Enhancing Reasoning in Reinforcement Learning
di: Yang, Pei, et al.
Pubblicazione: (2025)

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
di: Yue, Yu, et al.
Pubblicazione: (2025)

DeepTool: Scaling Interleaved Deliberation in Tool-Integrated Reasoning via Process-Supervised Reinforcement Learning
di: He, Yang, et al.
Pubblicazione: (2026)

FLARE: Faithful Logic-Aided Reasoning and Exploration
di: Arakelyan, Erik, et al.
Pubblicazione: (2024)

An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering
di: Murphy, Alexander, et al.
Pubblicazione: (2025)

Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents
di: Tan, Weiting, et al.
Pubblicazione: (2025)

Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain
di: Sayin, Burcu, et al.
Pubblicazione: (2024)

A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression
di: Devoto, Alessio, et al.
Pubblicazione: (2024)

PosterSum: A Multimodal Benchmark for Scientific Poster Summarization
di: Saxena, Rohit, et al.
Pubblicazione: (2025)

Probing the Emergence of Cross-lingual Alignment during LLM Training
di: Wang, Hetong, et al.
Pubblicazione: (2024)

Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
di: Hu, Zhiyuan, et al.
Pubblicazione: (2026)

Strat-Reasoner: Reinforcing Strategic Reasoning of LLMs in Multi-Agent Games
di: He, Yidong, et al.
Pubblicazione: (2026)

Process-Supervised Reinforcement Learning for Code Generation
di: Ye, Yufan, et al.
Pubblicazione: (2025)

Closing Reasoning Gaps in Clinical Agents with Differential Reasoning Learning
di: Liu, Jinsong, et al.
Pubblicazione: (2026)

DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs
di: Li, Yuanhao, et al.
Pubblicazione: (2025)

SuperRL: Reinforcement Learning with Supervision to Boost Language Model Reasoning
di: Liu, Yihao, et al.
Pubblicazione: (2025)

SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
di: Solano, Jesus, et al.
Pubblicazione: (2023)

FairBelief -- Assessing Harmful Beliefs in Language Models
di: Setzu, Mattia, et al.
Pubblicazione: (2024)

Lost in Time: Clock and Calendar Understanding Challenges in Multimodal LLMs
di: Saxena, Rohit, et al.
Pubblicazione: (2025)

A Policy-Driven Runtime Layer for Agentic LLM Serving
di: Zhang, Rui, et al.
Pubblicazione: (2026)

Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning
di: Jo, Yonghyeon, et al.
Pubblicazione: (2026)

Agents Require Metacognitive and Strategic Reasoning to Succeed in the Coming Labor Markets
di: Zhang, Simpson, et al.
Pubblicazione: (2025)

A Multi-Agent Approach to Neurological Clinical Reasoning
di: Sorka, Moran, et al.
Pubblicazione: (2025)

MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism
di: Liu, Shulin, et al.
Pubblicazione: (2025)

Concept Learning for Cooperative Multi-Agent Reinforcement Learning
di: Ge, Zhonghan, et al.
Pubblicazione: (2025)

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
di: Deng, Yihe, et al.
Pubblicazione: (2025)

AgentsEval: Clinically Faithful Evaluation of Medical Imaging Reports via Multi-Agent Reasoning
di: Fu, Suzhong, et al.
Pubblicazione: (2026)

On Centralized Critics in Multi-Agent Reinforcement Learning
di: Lyu, Xueguang, et al.
Pubblicazione: (2024)

Process Reward Agents for Steering Knowledge-Intensive Reasoning
di: Sohn, Jiwoong, et al.
Pubblicazione: (2026)

Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following
di: Ren, Qingyu, et al.
Pubblicazione: (2025)

Architecting Clinical Collaboration: Multi-Agent Reasoning Systems for Multimodal Medical VQA
di: Thakrar, Karishma, et al.
Pubblicazione: (2025)