Imagen de Portada

Bias Association Discovery Framework for Open-Ended LLM Generations

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Pan, Jinhao, Raj, Chahat, Zhu, Ziwei
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

What's Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs
por: Pan, Jinhao, et al.
Publicado: (2025)

Purdah and Patriarchy: Evaluating and Mitigating South Asian Biases in Open-Ended Multilingual LLM Generations
por: Rinki, Mamnuya, et al.
Publicado: (2025)

Talent or Luck? Evaluating Attribution Bias in Large Language Models
por: Raj, Chahat, et al.
Publicado: (2025)

BiasDora: Exploring Hidden Biased Associations in Vision-Language Models
por: Raj, Chahat, et al.
Publicado: (2024)

VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models
por: Raj, Chahat, et al.
Publicado: (2025)

Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis
por: Raj, Chahat, et al.
Publicado: (2024)

Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks
por: Demchak, Nathaniel, et al.
Publicado: (2024)

KnowBias: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement
por: Pan, Jinhao, et al.
Publicado: (2026)

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs
por: Jeune, Pierre Le, et al.
Publicado: (2026)

Towards Open-Ended Discovery for Low-Resource NLP
por: Dossou, Bonaventure F. P., et al.
Publicado: (2025)

Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations
por: Yu, Sunny, et al.
Publicado: (2025)

Improving Open-Ended Text Generation via Adaptive Decoding
por: Zhu, Wenhong, et al.
Publicado: (2024)

OpenSIR: Open-Ended Self-Improving Reasoner
por: Kwan, Wai-Chung, et al.
Publicado: (2025)

CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
por: Chen, Yongqiang, et al.
Publicado: (2026)

Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator
por: Yuan, Peiwen, et al.
Publicado: (2025)

Semantic Agreement Enables Efficient Open-Ended LLM Cascades
por: Soiffer, Duncan, et al.
Publicado: (2025)

CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage
por: Wei, Bowen, et al.
Publicado: (2025)

CheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks
por: Besta, Maciej, et al.
Publicado: (2024)

Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework
por: Arias, Esteban Garces, et al.
Publicado: (2024)

Reverse-Engineered Reasoning for Open-Ended Generation
por: Wang, Haozhe, et al.
Publicado: (2025)

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
por: Lu, Chris, et al.
Publicado: (2024)

OpenEP: Open-Ended Future Event Prediction
por: Guan, Yong, et al.
Publicado: (2024)

OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context Generation
por: Zhang, Hanning, et al.
Publicado: (2025)

Dynamic Alignment for Collective Agency: Toward a Scalable Self-Improving Framework for Open-Ended LLM Alignment
por: Anantaprayoon, Panatchakorn, et al.
Publicado: (2025)

MCU: An Evaluation Framework for Open-Ended Game Agents
por: Zheng, Xinyue, et al.
Publicado: (2023)

Generating Planning Feedback for Open-Ended Programming Exercises with LLMs
por: Demirtaş, Mehmet Arif, et al.
Publicado: (2025)

AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
por: Lu, Xiaotian, et al.
Publicado: (2024)

EvoRubric: Self-Evolving Rubric-Driven RL for Open-Ended Generation
por: Guan, Xin, et al.
Publicado: (2026)

Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation
por: Zhou, Yuxuan, et al.
Publicado: (2024)

An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA
por: Sharma, Saransh, et al.
Publicado: (2026)

MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation
por: Ma, Yan, et al.
Publicado: (2024)

The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
por: Carlsson, Fredrik, et al.
Publicado: (2024)

Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation
por: Arias, Esteban Garces, et al.
Publicado: (2024)

AEL: Agent Evolving Learning for Open-Ended Environments
por: Xu, Wujiang, et al.
Publicado: (2026)

Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
por: Zhao, Yu, et al.
Publicado: (2024)

Open-Ended Wargames with Large Language Models
por: Hogan, Daniel P., et al.
Publicado: (2024)

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
por: Samvelyan, Mikayel, et al.
Publicado: (2024)

Scaling Open-Ended Reasoning to Predict the Future
por: Chandak, Nikhil, et al.
Publicado: (2025)

GUARD: Glocal Uncertainty-Aware Robust Decoding for Effective and Efficient Open-Ended Text Generation
por: Ding, Yuanhao, et al.
Publicado: (2025)

Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context
por: Banerjee, Somnath, et al.
Publicado: (2024)