Copertina

Closing Reasoning Gaps in Clinical Agents with Differential Reasoning Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Jinsong, Jiang, Yuhang, Krishnan, Ramayya, Padman, Rema, Zhang, Yiye, Bian, Jiang
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

The Chain Holds, the Answer Folds: Trace-Answer Dissociation in Reasoning Models Under Adversarial Pressure
di: Li, Yubo, et al.
Pubblicazione: (2026)

Consistency of Large Reasoning Models Under Multi-Turn Attacks
di: Li, Yubo, et al.
Pubblicazione: (2026)

The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning
di: Li, Yubo, et al.
Pubblicazione: (2026)

When Documents Disagree: Measuring Institutional Variation in Transplant Guidance with Retrieval-Augmented Language Models
di: Li, Yubo, et al.
Pubblicazione: (2026)

Same Question, Different Source, Different Answer: Auditing Source-Dependence in Medical Multi-Source RAG
di: Li, Yubo, et al.
Pubblicazione: (2026)

Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
di: Li, Yubo, et al.
Pubblicazione: (2025)

Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions
di: Li, Yubo, et al.
Pubblicazione: (2025)

Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings
di: Li, Yubo, et al.
Pubblicazione: (2025)

Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models
di: Li, Yubo, et al.
Pubblicazione: (2025)

No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
di: Li, Yubo, et al.
Pubblicazione: (2025)

Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques
di: Li, Yubo, et al.
Pubblicazione: (2024)

Can LLMs Support Medical Knowledge Imputation? An Evaluation-Based Perspective
di: Yao, Xinyu, et al.
Pubblicazione: (2025)

ETCHR: Editing To Clarify and Harness Reasoning
di: Zhang, Beichen, et al.
Pubblicazione: (2026)

The Illusion of Clinical Reasoning: A Benchmark Reveals the Pervasive Gap in Vision-Language Models for Clinical Competency
di: Wang, Dingyu, et al.
Pubblicazione: (2025)

Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search
di: Zhang, Yifei, et al.
Pubblicazione: (2026)

Process-Supervised Multi-Agent Reinforcement Learning for Reliable Clinical Reasoning
di: Lee, Chaeeun, et al.
Pubblicazione: (2026)

CAREAgent: Clinical Agent with Structured Reasoning and Tool-Integrated for Order Generation
di: Hou, Ruihui, et al.
Pubblicazione: (2026)

Schema-Guided Scene-Graph Reasoning based on Multi-Agent Large Language Model System
di: Chen, Yiye, et al.
Pubblicazione: (2025)

CodeClinic: Evaluating Automation of Coding Skills for Clinical Reasoning Agents
di: Ossowski, Timothy, et al.
Pubblicazione: (2026)

ML Compass: Navigating Capability, Cost, and Compliance Trade-offs in AI Model Deployment
di: Digalakis Jr, Vassilis, et al.
Pubblicazione: (2025)

ExpertAgent: Enhancing Personalized Education through Dynamic Planning and Retrieval-Augmented Long-Chain Reasoning
di: Zhu, Binrong, et al.
Pubblicazione: (2025)

Thinking with Deltas: Incentivizing Reinforcement Learning via Differential Visual Reasoning Policy
di: Gao, Shujian, et al.
Pubblicazione: (2026)

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning
di: Jiang, Chuang, et al.
Pubblicazione: (2025)

RE-MCDF: Closed-Loop Multi-Expert LLM Reasoning for Knowledge-Grounded Clinical Diagnosis
di: Shen, Shaowei, et al.
Pubblicazione: (2026)

Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural Norms
di: Wang, Yuhang, et al.
Pubblicazione: (2025)

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning
di: Zhou, Hao, et al.
Pubblicazione: (2026)

Doing What They Say, Not What They Reason: Locating the Faithfulness Gap in LLM Agents
di: Wang, Yufeng
Pubblicazione: (2026)

CureAgent: A Training-Free Executor-Analyst Framework for Clinical Reasoning
di: Xie, Ting-Ting, et al.
Pubblicazione: (2025)

Web-CogReasoner: Towards Knowledge-Induced Cognitive Reasoning for Web Agents
di: Guo, Yuhan, et al.
Pubblicazione: (2025)

PRIME: Training Free Proactive Reasoning via Iterative Memory Evolution for User-Centric Agent
di: Wang, Prince Zizhuang, et al.
Pubblicazione: (2026)

Adaptive Reasoning Executor: A Collaborative Agent System for Efficient Reasoning
di: Ling, Zehui, et al.
Pubblicazione: (2025)

Exploring Reasoning Reward Model for Agents
di: Fan, Kaixuan, et al.
Pubblicazione: (2026)

Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning
di: Wu, Ruiqi, et al.
Pubblicazione: (2025)

A State-Transition Framework for Efficient LLM Reasoning
di: Zhang, Liang, et al.
Pubblicazione: (2026)

Weak-Link Optimization for Multi-Agent Reasoning and Collaboration
di: Bian, Haoyu, et al.
Pubblicazione: (2026)

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment
di: Liu, Shuoling, et al.
Pubblicazione: (2024)

SpotAgent: Grounding Visual Geo-localization in Large Vision-Language Models through Agentic Reasoning
di: Jia, Furong, et al.
Pubblicazione: (2026)

ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents
di: Zhang, Xiaohui, et al.
Pubblicazione: (2026)

Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems
di: Mishra, Saurabh, et al.
Pubblicazione: (2024)

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