Cover Image

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tran, Hieu, Yao, Zonghai, Wang, Junda, Zhang, Yifan, Yang, Zhichao, Yu, Hong
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
by: Tran, Hieu, et al.
Published: (2023)

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability
by: Wang, Junda, et al.
Published: (2024)

Large Language Models are In-context Teachers for Knowledge Reasoning
by: Zhao, Jiachen, et al.
Published: (2023)

RARE: Retrieval-Augmented Reasoning Modeling
by: Wang, Zhengren, et al.
Published: (2025)

PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning
by: Tran, Hieu, et al.
Published: (2025)

Exploiting Tree Structure for Credit Assignment in RL Training of LLMs
by: Tran, Hieu, et al.
Published: (2025)

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation
by: Jang, Won Seok, et al.
Published: (2025)

ReadCtrl: Personalizing text generation with readability-controlled instruction learning
by: Tran, Hieu, et al.
Published: (2024)

LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
by: Tran, Hieu, et al.
Published: (2024)

NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes
by: Wang, Junda, et al.
Published: (2023)

RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs in Medicine
by: Huang, Jiatan, et al.
Published: (2024)

Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation
by: Yao, Zonghai, et al.
Published: (2023)

RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems
by: Zeng, Yixiao, et al.
Published: (2025)

Medical thinking with multiple images
by: Yao, Zonghai, et al.
Published: (2026)

UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt -- A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis
by: Vashisht, Parth, et al.
Published: (2024)

Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors
by: Peng, Yuefeng, et al.
Published: (2024)

README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP
by: Yao, Zonghai, et al.
Published: (2023)

Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction
by: Lim, Jung Hoon, et al.
Published: (2024)

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning
by: Tran, Hieu, et al.
Published: (2025)

From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations
by: Wang, Benlu, et al.
Published: (2025)

Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction
by: Li, Mingchen, et al.
Published: (2026)

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
by: Li, Mingda, et al.
Published: (2024)

EHR Interaction Between Patients and AI: NoteAid EHR Interaction
by: Zhang, Xiaocheng, et al.
Published: (2023)

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models
by: Yu, Tian, et al.
Published: (2024)

RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation
by: Xu, Zhichao, et al.
Published: (2025)

Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking
by: Zhu, Junda, et al.
Published: (2025)

FERA: Uncertainty-Aware Federated Reasoning for Large Language Models
by: Wang, Ruhan, et al.
Published: (2026)

MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary Framework
by: Salim, Md Shahidul, et al.
Published: (2025)

MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills
by: Yao, Zonghai, et al.
Published: (2024)

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models
by: Huang, Chengkai, et al.
Published: (2024)

SemiHVision: Enhancing Medical Multimodal Models with a Semi-Human Annotated Dataset and Fine-Tuned Instruction Generation
by: Wang, Junda, et al.
Published: (2024)

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
by: Yang, Ling, et al.
Published: (2024)

Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models
by: Pang, Xinyu, et al.
Published: (2024)

TARSE: Test-Time Adaptation via Retrieval of Skills and Experience for Reasoning Agents
by: Wang, Junda, et al.
Published: (2026)

URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models
by: Nguyen, Vinh, et al.
Published: (2026)

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care
by: Yao, Zonghai, et al.
Published: (2025)

Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models
by: Zhang, Yuzhe, et al.
Published: (2024)

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
by: Xia, Yu, et al.
Published: (2024)

Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
by: Xie, Tingyu, et al.
Published: (2024)

MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback
by: Yao, Zonghai, et al.
Published: (2024)