conftrace_

reinforcement learning from human feedback

278 papers

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Co-occurring keywords

large language model (13587) reward model (276) reinforcement learning (4352) direct preference optimization (332) language model alignment (142) reward modeling (164) human feedback (161) preference learning (418) model alignment (226) language model (4599)

Papers

LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search NAACL 2025
ComPO: Community Preferences for Language Model Personalization NAACL 2025
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution EMNLP 2025
CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication Facilities with Large Language Models NAACL 2025
RewardBench: Evaluating Reward Models for Language Modeling NAACL 2025
Beyond Excess and Deficiency: Adaptive Length Bias Mitigation in Reward Models for RLHF NAACL 2025
Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization EMNLP 2025
Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD EMNLP 2025
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025
A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users EMNLP 2025
Self-Augmented Preference Alignment for Sycophancy Reduction in LLMs EMNLP 2025
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data EMNLP 2025
T-REG: Preference Optimization with Token-Level Reward Regularization ACL 2025
AutoAlign: Get Your LLM Aligned with Minimal Annotations ACL 2025
InstructionCP: A Simple yet Effective Approach for Transferring Large Language Models to Target Languages ACL 2025
SEAL: Systematic Error Analysis for Value ALignment AAAI 2025
CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization ACL 2025
From Noise to Nuance: Enriching Subjective Data Annotation through Qualitative Analysis EMNLP 2025
When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning EMNLP 2025
Curriculum Direct Preference Optimization for Diffusion and Consistency Models CVPR 2025
Stimulate the Critical Thinking of LLMs via Debiasing Discussion EMNLP 2025
Reward-Shifted Speculative Sampling Is An Efficient Test-Time Weak-to-Strong Aligner EMNLP 2025
Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models AAAI 2025
Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity EMNLP 2025