Cover Image

FRAME: Feedback-Refined Agent Methodology for Enhancing Medical Research Insights

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Chengzhang, Zhang, Yiming, Liu, Zhixin, Ding, Zenghui, Sun, Yining, Jin, Zhanpeng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IIMedGPT: Promoting Large Language Model Capabilities of Medical Tasks by Efficient Human Preference Alignment
by: Zhang, Yiming, et al.
Published: (2025)

Debt Collection Negotiations with Large Language Models: An Evaluation System and Optimizing Decision Making with Multi-Agent
by: Wang, Xiaofeng, et al.
Published: (2025)

Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment
by: Sun, Hongda, et al.
Published: (2025)

AgentRefine: Enhancing Agent Generalization through Refinement Tuning
by: Fu, Dayuan, et al.
Published: (2025)

RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback
by: Tang, Qiaoyu, et al.
Published: (2025)

AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback
by: Zhang, Wanpeng, et al.
Published: (2023)

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy
by: Zhang, Xuemiao, et al.
Published: (2025)

Collaborative Medical Triage under Uncertainty: A Multi-Agent Dynamic Matching Approach
by: Cheng, Hongyan, et al.
Published: (2025)

CircuitProbe: Tracing Visual Temporal Evidence Flow in Video Language Models
by: Zhang, Yiming, et al.
Published: (2025)

ReFRAME or Remain: Unsupervised Lexical Semantic Change Detection with Frame Semantics
by: Phan-Tat, Bach, et al.
Published: (2026)

Word Order's Impacts: Insights from Reordering and Generation Analysis
by: Zhao, Qinghua, et al.
Published: (2024)

SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging
by: Chen, Zijun, et al.
Published: (2025)

Learning to Refine with Fine-Grained Natural Language Feedback
by: Wadhwa, Manya, et al.
Published: (2024)

RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance
by: Jin, Haolin, et al.
Published: (2024)

Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
by: Zhou, Yuxuan, et al.
Published: (2025)

Multi-Agent Dialectical Refinement for Enhanced Argument Classification
by: Bąba, Jakub, et al.
Published: (2026)

LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback
by: Xu, Wenda, et al.
Published: (2023)

Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
by: Bi, Zhangqian, et al.
Published: (2024)

Large Language Model Agent: A Survey on Methodology, Applications and Challenges
by: Luo, Junyu, et al.
Published: (2025)

Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding
by: Zhang, Yiming, et al.
Published: (2024)

Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States
by: Zhu, Qinglin, et al.
Published: (2025)

SRR-Judge: Step-Level Rating and Refinement for Enhancing Search-Integrated Reasoning in Search Agents
by: Zhang, Chen, et al.
Published: (2026)

Rational Decision-Making Agent with Internalized Utility Judgment
by: Ye, Yining, et al.
Published: (2023)

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
by: Cao, Zouying, et al.
Published: (2025)

Auto-Dreamer: Learning Offline Memory Consolidation for Language Agents
by: Ye, Chongrui, et al.
Published: (2026)

RankCLIP: Ranking-Consistent Language-Image Pretraining
by: Zhang, Yiming, et al.
Published: (2024)

ProRefine: Inference-Time Prompt Refinement with Textual Feedback
by: Pandita, Deepak, et al.
Published: (2025)

WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models
by: Wang, Rui, et al.
Published: (2025)

Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
by: Kirstein, Frederic, et al.
Published: (2025)

A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry
by: Huang, Yining, et al.
Published: (2024)

FML-bench: Benchmarking Machine Learning Agents for Scientific Research
by: Zou, Qiran, et al.
Published: (2025)

FinResearchBench: A Logic Tree based Agent-as-a-Judge Evaluation Framework for Financial Research Agents
by: Sun, Rui, et al.
Published: (2025)

What's Wrong? Refining Meeting Summaries with LLM Feedback
by: Kirstein, Frederic, et al.
Published: (2024)

DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning
by: Huang, Haoyu, et al.
Published: (2026)

TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents
by: Yu, Bihui, et al.
Published: (2026)

Enhancing Medication Recommendation with LLM Text Representation
by: Lee, Yu-Tzu
Published: (2024)

Refining Interactions: Enhancing Anisotropy in Graph Neural Networks with Language Semantics
by: Li, Zhaoxing, et al.
Published: (2025)

Iterative Experience Refinement of Software-Developing Agents
by: Qian, Chen, et al.
Published: (2024)

Tool-Assisted Agent on SQL Inspection and Refinement in Real-World Scenarios
by: Wang, Zhongyuan, et al.
Published: (2024)

Insight Agents: An LLM-Based Multi-Agent System for Data Insights
by: Bai, Jincheng, et al.
Published: (2026)