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Preference Learning

109 papers

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Papers

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization ACL 2026

Aligning Large Language Models via Fully Self-Synthetic Data ACL 2026

From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization ACL 2026

ConsistRM: Improving Generative Reward Models via Consistency-Aware Self-Training ACL 2026

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist ACL 2026

RATE: Reviewer Profiling and Annotation-free Training for Expertise Ranking in Peer Review Systems ACL 2026

ACRM: Multi-Agent Trajectory Learning for Automated Credit Risk Model Refreshing in Production ACL 2026

Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning AAAI 2025

Forward KL Regularized Preference Optimization for Aligning Diffusion Policies AAAI 2025

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 2025

Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models AAAI 2025

Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization AAAI 2025

WEPO: Web Element Preference Optimization for LLM-based Web Navigation AAAI 2025

MAPLE: A Framework for Active Preference Learning Guided by Large Language Models AAAI 2025

Atomic Consistency Preference Optimization for Long-Form Question Answering AACL 2025

M-RewardBench: Evaluating Reward Models in Multilingual Settings ACL 2025

GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization ACL 2025

Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback ACL 2025

Aligning Large Language Models with Implicit Preferences from User-Generated Content ACL 2025

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis ACL 2025

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG ACL 2025

Advancing Zero-shot Text-to-Speech Intelligibility across Diverse Domains via Preference Alignment ACL 2025

EAGLE: Expert-Guided Self-Enhancement for Preference Alignment in Pathology Large Vision-Language Model ACL 2025

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code ACL 2025

IPO: Your Language Model is Secretly a Preference Classifier ACL 2025