preference learning

411 papers

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Also known as

DPO PL

Co-occurring keywords

large language model (12755) reinforcement learning (4122) direct preference optimization (317) reinforcement learning from human feedback (261) language model alignment (142) reward model (251) human feedback (161) reward modeling (159) model alignment (219) human preference (120)

Papers

Rethinking Direct Preference Optimization in Diffusion Models AAAI 2026

Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models IJCAI 2025

Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation EMNLP 2025

RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation EMNLP 2025

Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics EMNLP 2025

Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models NAACL 2025

Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs EMNLP 2025

Language Models as Continuous Self-Evolving Data Engineers EMNLP 2025

Aligning to What? Limits to RLHF Based Alignment NAACL 2025

Mitigating Object Hallucinations via Sentence-Level Early Intervention ICCV 2025

Cognitive-Level Adaptive Generation via Capability-Aware Retrieval and Style Adaptation EMNLP 2025

Uncertainty-Aware Iterative Preference Optimization for Enhanced LLM Reasoning ACL 2025

Teaching Your Models to Understand Code via Focal Preference Alignment EMNLP 2025

MWPO: Enhancing LLMs Performance through Multi-Weight Preference Strength and Length Optimization ACL 2025

Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter EMNLP 2025

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents EMNLP 2025

Evaluating Design Choices in Verifiable Generation with Open-source Models NAACL 2025

MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences AAAI 2025

Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction AAAI 2025

NHK Submission to WAT 2025: Leveraging Preference Optimization for Article-level Japanese–English News Translation IJCNLP 2025

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision NAACL 2025

APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025

CoPL: Collaborative Preference Learning for Personalizing LLMs EMNLP 2025

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch ACL 2025

Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems AAAI 2025