Cover Image

Large Language Models are In-context Teachers for Knowledge Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Jiachen, Yao, Zonghai, Yang, Zhichao, Yu, Hong
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
by: Tran, Hieu, et al.
Published: (2024)

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)

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)

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

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)

Structured In-context Environment Scaling for Large Language Model Reasoning
by: Yu, Peng, et al.
Published: (2025)

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)

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

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)

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

Large Language Models Can Self-Improve in Long-context Reasoning
by: Li, Siheng, 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)

The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
by: Hong, Yihuai, et al.
Published: (2025)

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

Supervised Knowledge Makes Large Language Models Better In-context Learners
by: Yang, Linyi, et al.
Published: (2023)

Knowledge Integration Decay in Search-Augmented Reasoning of Large Language Models
by: Yu, Sangwon, et al.
Published: (2026)

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

Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models
by: Liu, Yantao, et al.
Published: (2024)

Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
by: Luo, Linhao, et al.
Published: (2024)

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

Thrust: Adaptively Propels Large Language Models with External Knowledge
by: Zhao, Xinran, et al.
Published: (2023)

SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models
by: Koo, Jahyun, et al.
Published: (2024)

Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
by: He, Qiyuan, et al.
Published: (2025)

ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes
by: Yang, Zhichao, et al.
Published: (2024)

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)

KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph
by: Guo, Tiezheng, et al.
Published: (2023)

Knowledge Distillation for Temporal Knowledge Graph Reasoning with Large Language Models
by: Xing, Wang, et al.
Published: (2026)

Knowledge Vector of Logical Reasoning in Large Language Models
by: Wang, Zixuan, et al.
Published: (2026)

Large Language Models are Contrastive Reasoners
by: Yao, Liang
Published: (2024)

AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning
by: Xin, Amy, et al.
Published: (2024)

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models
by: Qiu, Yifu, et al.
Published: (2025)

CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints
by: Atmakuru, Anirudh, et al.
Published: (2024)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
by: Ding, Wenxuan, et al.
Published: (2023)

Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
by: Hu, Peng, et al.
Published: (2024)

Large Language Models are Limited in Out-of-Context Knowledge Reasoning
by: Hu, Peng, et al.
Published: (2024)

Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds
by: WU, Jiageng, et al.
Published: (2024)

Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History
by: Li, Lingxi, et al.
Published: (2024)