conftrace_

language model alignment

142 papers

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Co-occurring keywords

large language model (13587) reinforcement learning from human feedback (278) direct preference optimization (332) reinforcement learning (4352) preference learning (418) reward model (276) preference optimization (302) model alignment (226) reward modeling (164) language model (4599)

Papers

Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization ACL 2025
MWPO: Enhancing LLMs Performance through Multi-Weight Preference Strength and Length Optimization ACL 2025
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process ACL 2025
RLKGF: Reinforcement Learning from Knowledge Graph Feedback Without Human Annotations ACL 2025
Reward Generalization in RLHF: A Topological Perspective ACL 2025
Benchmarking and Improving LLM Robustness for Personalized Generation EMNLP 2025
Aligning to Constraints for Data-Efficient Language Model Customization NAACL 2025
When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning EMNLP 2025
Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic Study AACL 2025
Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models IJCAI 2025
From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding ACL 2025
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels ACL 2025
Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation ACL 2025
MTQ-Eval: Multilingual Text Quality Evaluation for Language Models AACL 2025
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing AACL 2025
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge EMNLP 2025
Weights-Rotated Preference Optimization for Large Language Models EMNLP 2025
When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning EMNLP 2025
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling EMNLP 2025
Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024
Alignment at Pre-training! Towards Native Alignment for Arabic LLMs NIPS 2024
Instruction Embedding: Latent Representations of Instructions Towards Task Identification NIPS 2024
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NIPS 2024
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NIPS 2024
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads NIPS 2024