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conftrace_

language model alignment

166 papers

Papers

Compositional Preference Models for Aligning LMs ICLR 2024 Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models EMNLP 2024 Decoding-Time Language Model Alignment with Multiple Objectives NeurIPS 2024 Direct Preference Optimization with an Offset ACL 2024 Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models? ACL 2024 DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging EMNLP 2024 Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration EMNLP 2024 Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024 Enhancing Alignment using Curriculum Learning & Ranked Preferences EMNLP 2024 Evolutionary Contrastive Distillation for Language Model Alignment EMNLP 2024 Filtered Direct Preference Optimization EMNLP 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels NeurIPS 2024 Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses NeurIPS 2024 Improving Context-Aware Preference Modeling for Language Models NeurIPS 2024 Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024 Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues EMNLP 2024 InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling NeurIPS 2024 Instruction Embedding: Latent Representations of Instructions Towards Task Identification NeurIPS 2024 Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024 Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? EMNLP 2024 Let Me Teach You: Pedagogical Foundations of Feedback for Language Models EMNLP 2024 LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Multi-turn Reinforcement Learning with Preference Human Feedback NeurIPS 2024 Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization EMNLP 2024