:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Liping, Zhang, Chunhong, Wu, Likang, Zhao, Chuang, Hu, Zheng, He, Ming, Fan, Jianping
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2503.00902
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models
by: Zhang, Dan, et al.
Published: (2024)

InstructCoder: Instruction Tuning Large Language Models for Code Editing
by: Li, Kaixin, et al.
Published: (2023)

MetaReflection: Learning Instructions for Language Agents using Past Reflections
by: Gupta, Priyanshu, et al.
Published: (2024)

LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling
by: Guan, Zhong, et al.
Published: (2024)

ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
by: He, Xingwei, et al.
Published: (2025)

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
by: Wang, Jianing, et al.
Published: (2024)

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
by: Hu, Yujia, et al.
Published: (2024)

Recall-Extend Dynamics: Enhancing Small Language Models through Controlled Exploration and Refined Offline Integration
by: Guan, Zhong, et al.
Published: (2025)

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models
by: Li, Jijie, et al.
Published: (2025)

Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning
by: Ma, Zhiyuan, et al.
Published: (2025)

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
by: Guan, Zhong, et al.
Published: (2025)

Instruct Large Language Models to Generate Scientific Literature Survey Step by Step
by: Lai, Yuxuan, et al.
Published: (2024)

Multi-View Empowered Structural Graph Wordification for Language Models
by: Liu, Zipeng, et al.
Published: (2024)

LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation
by: Zhao, Hongke, et al.
Published: (2024)

RoT: Enhancing Large Language Models with Reflection on Search Trees
by: Hui, Wenyang, et al.
Published: (2024)

GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
by: Luo, Zihan, et al.
Published: (2024)

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning
by: Zhao, Yusheng, et al.
Published: (2025)

LGM: Enhancing Large Language Models with Conceptual Meta-Relations and Iterative Retrieval
by: Lei, Wenchang, et al.
Published: (2025)

InstructEdit: Instruction-based Knowledge Editing for Large Language Models
by: Zhang, Ningyu, et al.
Published: (2024)

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
by: Guan, Zhong, et al.
Published: (2024)

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models
by: Wu, Yuhao, et al.
Published: (2025)

Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models
by: Luo, Xianzhen, et al.
Published: (2024)

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

Reflections and New Directions for Human-Centered Large Language Models
by: Ziems, Caleb, et al.
Published: (2026)

Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection
by: Zhao, Yachao, et al.
Published: (2025)

LexInstructEval: Lexical Instruction Following Evaluation for Large Language Models
by: Ren, Huimin, et al.
Published: (2025)

ROSD: Reflective On-Policy Self-Distillation for Language Model Reasoning across Domains
by: Zhao, Ziqi, et al.
Published: (2026)

LR^2Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems
by: Chen, Jianghao, et al.
Published: (2025)

EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
by: Ou, Yixin, et al.
Published: (2024)

Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
by: Zhao, Xinran, et al.
Published: (2024)

Instruct Large Language Models to Drive like Humans
by: Zhang, Ruijun, et al.
Published: (2024)

Enhancing Self-Correction in Large Language Models through Multi-Perspective Reflection
by: Costa, Mariana, et al.
Published: (2026)

Think-Reflect-Revise: A Policy-Guided Reflective Framework for Safety Alignment in Large Vision Language Models
by: Weng, Fenghua, et al.
Published: (2025)

SeDi-Instruct: Enhancing Alignment of Language Models through Self-Directed Instruction Generation
by: Kim, Jungwoo, et al.
Published: (2025)

Large Language Models Reflect the Ideology of their Creators
by: Buyl, Maarten, et al.
Published: (2024)

Instructing Large Language Models to Identify and Ignore Irrelevant Conditions
by: Wu, Zhenyu, et al.
Published: (2024)

DS$^2$-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning
by: Xu, Ruiyao, et al.
Published: (2026)

Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
by: Huang, Jiameng, et al.
Published: (2025)

Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?
by: Hu, Yutong, et al.
Published: (2024)

Meta-Reflection: A Feedback-Free Reflection Learning Framework
by: Wang, Yaoke, et al.
Published: (2024)