Copertina

Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Wenda, Zhu, Guanglei, Zhao, Xuandong, Pan, Liangming, Li, Lei, Wang, William Yang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment
di: Xu, Wenda, et al.
Pubblicazione: (2024)

Atomic Skills are the Prerequisite: When Reinforcement Learning Synthesizes Compositional Reasoning, and When It Only Amplifies
di: Cheng, Sitao, et al.
Pubblicazione: (2025)

When LLMs Benchmark Themselves: Deconstructing Self-Bias in Automated Evaluation
di: Xu, Wenda, et al.
Pubblicazione: (2025)

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
di: Zhang, Shuo, et al.
Pubblicazione: (2023)

A Practical Examination of AI-Generated Text Detectors for Large Language Models
di: Tufts, Brian, et al.
Pubblicazione: (2024)

Scalable Best-of-N Selection for Large Language Models via Self-Certainty
di: Kang, Zhewei, et al.
Pubblicazione: (2025)

AKEW: Assessing Knowledge Editing in the Wild
di: Wu, Xiaobao, et al.
Pubblicazione: (2024)

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
di: Ye, Jiayi, et al.
Pubblicazione: (2024)

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
di: Chen, Jianhui, et al.
Pubblicazione: (2026)

How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark
di: Yang, Minglai, et al.
Pubblicazione: (2025)

Spontaneous Reward Hacking in Iterative Self-Refinement
di: Pan, Jane, et al.
Pubblicazione: (2024)

TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement
di: Feng, Zhaopeng, et al.
Pubblicazione: (2024)

GRAPHMOE: Amplifying Cognitive Depth of Mixture-of-Experts Network via Introducing Self-Rethinking Mechanism
di: Lv, Bo, et al.
Pubblicazione: (2025)

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
di: Wang, Qibin, et al.
Pubblicazione: (2025)

SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts
di: Pei, Aihua, et al.
Pubblicazione: (2024)

SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning
di: Zhou, Kaiwen, et al.
Pubblicazione: (2025)

Investigating the Transferability of Code Repair for Low-Resource Programming Languages
di: Wong, Kyle, et al.
Pubblicazione: (2024)

Database Normalization via Dual-LLM Self-Refinement
di: Jo, Eunjae, et al.
Pubblicazione: (2025)

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
di: Amayuelas, Alfonso, et al.
Pubblicazione: (2023)

Quantifying and Mitigating Self-Preference Bias of LLM Judges
di: Yang, Jinming, et al.
Pubblicazione: (2026)

Prompt and Prejudice
di: Berlincioni, Lorenzo, et al.
Pubblicazione: (2024)

CA*: Addressing Evaluation Pitfalls in Computation-Aware Latency for Simultaneous Speech Translation
di: Xu, Xi, et al.
Pubblicazione: (2024)

Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
di: Xu, Yue, et al.
Pubblicazione: (2025)

Opening the Black Box: A Survey on the Mechanisms of Multi-Step Reasoning in Large Language Models
di: Pan, Liangming, et al.
Pubblicazione: (2026)

Side-by-side Comparison Amplifies Dialect Bias in Language Models
di: Kondapally, Kritee, et al.
Pubblicazione: (2026)

Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge
di: Spiliopoulou, Evangelia, et al.
Pubblicazione: (2025)

TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM
di: Zhou, Haoyang, et al.
Pubblicazione: (2026)

RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios
di: Zhou, Ruiwen, et al.
Pubblicazione: (2024)

Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop
di: Wang, Yaxuan, et al.
Pubblicazione: (2026)

CoRefine: Confidence-Guided Self-Refinement for Adaptive Test-Time Compute
di: Jin, Chen, et al.
Pubblicazione: (2026)

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate
di: Amayuelas, Alfonso, et al.
Pubblicazione: (2024)

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
di: Wang, Xinyi, et al.
Pubblicazione: (2024)

A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
di: Han, Jinyi, et al.
Pubblicazione: (2025)

OSCAR: Orchestrated Self-verification and Cross-path Refinement
di: Shah, Yash, et al.
Pubblicazione: (2026)

Ratchet: A Minimal Hygiene Recipe for Self-Evolving LLM Agents
di: Zhang, Xing, et al.
Pubblicazione: (2026)

Direct Alignment of Language Models via Quality-Aware Self-Refinement
di: Yu, Runsheng, et al.
Pubblicazione: (2024)

SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema
di: Fang, Yushen, et al.
Pubblicazione: (2025)

LEDOM: Reverse Language Model
di: Yin, Xunjian, et al.
Pubblicazione: (2025)

Meta-aware Learning in text-to-SQL Large Language Model
di: Zhang, Wenda
Pubblicazione: (2025)

De Jure: Iterative LLM Self-Refinement for Structured Extraction of Regulatory Rules
di: Guliani, Keerat, et al.
Pubblicazione: (2026)