Imagen de Portada

Aligning to Illusions: Choice Blindness in Human and AI Feedback

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Wu, Wenbin
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Illusion of Readiness in Health AI
por: Gu, Yu, et al.
Publicado: (2025)

Automated Generation of Curriculum-Aligned Multiple-Choice Questions for Malaysian Secondary Mathematics Using Generative AI
por: Wahid, Rohaizah Abdul, et al.
Publicado: (2025)

Human-Centric NLP or AI-Centric Illusion?: A Critical Investigation
por: Spencer, Piyapath T
Publicado: (2024)

Aligning Large Language Models from Self-Reference AI Feedback with one General Principle
por: Bao, Rong, et al.
Publicado: (2024)

A Critical Evaluation of AI Feedback for Aligning Large Language Models
por: Sharma, Archit, et al.
Publicado: (2024)

The Illusion of Insight in Reasoning Models
por: d'Aliberti, Liv G., et al.
Publicado: (2026)

Speculative Decoding: Performance or Illusion?
por: Liu, Xiaoxuan, et al.
Publicado: (2025)

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race
por: Sun, Lihao, et al.
Publicado: (2025)

BoRP: Bootstrapped Regression Probing for Scalable and Human-Aligned LLM Evaluation
por: Sun, Peng, et al.
Publicado: (2026)

QQJ: Quantifying Qualitative Judgment for Scalable and Human-Aligned Evaluation of Generative AI
por: Veysi, Marjan, et al.
Publicado: (2026)

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
por: Lee, Harrison, et al.
Publicado: (2023)

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback
por: Ji, Jiaming, et al.
Publicado: (2024)

Towards Aligning Language Models with Textual Feedback
por: Lloret, Saüc Abadal, et al.
Publicado: (2024)

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

The Illusion of Latent Generalization: Bi-directionality and the Reversal Curse
por: Coda-Forno, Julian, et al.
Publicado: (2026)

An Illusion of Progress? Assessing the Current State of Web Agents
por: Xue, Tianci, et al.
Publicado: (2025)

AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback
por: Park, Joshua, et al.
Publicado: (2025)

The Leaderboard Illusion
por: Singh, Shivalika, et al.
Publicado: (2025)

From Prediction to Justification: Aligning Sentiment Reasoning with Human Rationale via Reinforcement Learning
por: Zhang, Shihao, et al.
Publicado: (2026)

Control Illusion: The Failure of Instruction Hierarchies in Large Language Models
por: Geng, Yilin, et al.
Publicado: (2025)

Aligning Large Language Model Behavior with Human Citation Preferences
por: Ando, Kenichiro, et al.
Publicado: (2026)

Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering
por: Yang, Hongyu, et al.
Publicado: (2024)

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation
por: Yu, Donglei, et al.
Publicado: (2025)

PLHF: Prompt Optimization with Few-Shot Human Feedback
por: Yang, Chun-Pai, et al.
Publicado: (2025)

LLM Review: Enhancing Creative Writing via Blind Peer Review Feedback
por: Li, Weiyue, et al.
Publicado: (2026)

Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning
por: Niu, Jingcheng, et al.
Publicado: (2025)

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection
por: Lee, Kyungjae, et al.
Publicado: (2024)

RAGalyst: Automated Human-Aligned Agentic Evaluation for Domain-Specific RAG
por: Gao, Joshua, et al.
Publicado: (2025)

The Real, the Better: Aligning Large Language Models with Online Human Behaviors
por: Jiang, Guanying, et al.
Publicado: (2024)

Feedback Forensics: A Toolkit to Measure AI Personality
por: Findeis, Arduin, et al.
Publicado: (2025)

Differentiating Choices via Commonality for Multiple-Choice Question Answering
por: Deng, Wenqing, et al.
Publicado: (2024)

Evaluating Causal Explanation in Medical Reports with LLM-Based and Human-Aligned Metrics
por: Cho, Yousang, et al.
Publicado: (2025)

LLMs Judge Themselves: A Game-Theoretic Framework for Human-Aligned Evaluation
por: Yang, Gao, et al.
Publicado: (2025)

SLMEval: Entropy-Based Calibration for Human-Aligned Evaluation of Large Language Models
por: Daynauth, Roland, et al.
Publicado: (2025)

Survival at Any Cost? LLMs and the Choice Between Self-Preservation and Human Harm
por: Mohamadi, Alireza, et al.
Publicado: (2025)

Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards
por: Shen, Wei, et al.
Publicado: (2024)

Model-based Preference Optimization in Abstractive Summarization without Human Feedback
por: Choi, Jaepill, et al.
Publicado: (2024)

What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data
por: Movva, Rajiv, et al.
Publicado: (2025)

Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds
por: Basmov, Victoria, et al.
Publicado: (2023)

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
por: Bansal, Hritik, et al.
Publicado: (2023)