Cover Image

Enhancing Self-Correction in Large Language Models through Multi-Perspective Reflection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Costa, Mariana, Soarez, Alberlucia Rafael, Kim, Daniel, Ferreira, Camila
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Demystifying Low-Rank Knowledge Distillation in Large Language Models: Convergence, Generalization, and Information-Theoretic Guarantees
by: Soarez, Alberlucia Rafael, et al.
Published: (2026)

ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
by: Jiang, Juyong, et al.
Published: (2026)

Advancing Multi-Step Mathematical Reasoning in Large Language Models through Multi-Layered Self-Reflection with Auto-Prompting
by: Loureiro, André de Souza, et al.
Published: (2025)

TasTe: Teaching Large Language Models to Translate through Self-Reflection
by: Wang, Yutong, et al.
Published: (2024)

Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
by: Huang, Baizhou, et al.
Published: (2023)

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

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
by: Li, Moxin, et al.
Published: (2024)

Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
by: Sanz-Guerrero, Mario, et al.
Published: (2025)

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

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

Self-Evolutionary Large Language Models through Uncertainty-Enhanced Preference Optimization
by: Wang, Jianing, et al.
Published: (2024)

Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models
by: Wang, Pei, et al.
Published: (2024)

Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning
by: Gao, Kuofeng, et al.
Published: (2024)

Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages
by: Zhang, Yuanchi, et al.
Published: (2024)

Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction
by: Liu, Liping, et al.
Published: (2025)

CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models
by: Chen, Meiqi, et al.
Published: (2024)

On the Convergence of Moral Self-Correction in Large Language Models
by: Liu, Guangliang, et al.
Published: (2025)

Understanding Teacher Revisions of Large Language Model-Generated Feedback
by: Borchers, Conrad, et al.
Published: (2026)

DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms
by: Chen, Andong, et al.
Published: (2024)

Smaller Large Language Models Can Do Moral Self-Correction
by: Liu, Guangliang, et al.
Published: (2024)

Large Language Models Can Self-Correct with Key Condition Verification
by: Wu, Zhenyu, et al.
Published: (2024)

Self-Correcting Code Generation Using Small Language Models
by: Cho, Jeonghun, et al.
Published: (2025)

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
by: Jeong, Minbyul, et al.
Published: (2024)

Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral
by: Liu, Fengyuan, et al.
Published: (2024)

Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2024)

Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization
by: Lee, Janghwan, et al.
Published: (2023)

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models
by: Sun, Lin, et al.
Published: (2025)

Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
by: Wu, Zhuoyang, et al.
Published: (2025)

Large Language Models Cannot Self-Correct Reasoning Yet
by: Huang, Jie, et al.
Published: (2023)

Large Language Models have Intrinsic Self-Correction Ability
by: Liu, Dancheng, et al.
Published: (2024)

Self-training Large Language Models through Knowledge Detection
by: Yeo, Wei Jie, et al.
Published: (2024)

Enhancing Knowledge Distillation of Large Language Models through Efficient Multi-Modal Distribution Alignment
by: Peng, Tianyu, et al.
Published: (2024)

Strategic Data Ordering: Enhancing Large Language Model Performance through Curriculum Learning
by: Kim, Jisu, et al.
Published: (2024)

Personality Editing for Language Models through Adjusting Self-Referential Queries
by: Hwang, Seojin, et al.
Published: (2025)

Small Language Models Need Strong Verifiers to Self-Correct Reasoning
by: Zhang, Yunxiang, et al.
Published: (2024)

Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study
by: Zhan, Zaifu, et al.
Published: (2026)

Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation
by: Berger, Nathaniel, et al.
Published: (2024)

Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models
by: Tsui, Ken
Published: (2025)

Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models
by: Zhang, Che, et al.
Published: (2024)

Self-Correcting Large Language Models: Generation vs. Multiple Choice
by: Rahmani, Hossein A., et al.
Published: (2025)