conftrace_

model alignment

260 papers

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Co-occurring keywords · papers mentioning both

large language model (139) reinforcement learning from human feedback (43) direct preference optimization (32) preference optimization (30) preference learning (26) language model alignment (25) language model (22) reward model (22) reinforcement learning (22) human preference (16)

Papers

Filtered Direct Preference Optimization EMNLP 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels NeurIPS 2024 HelpSteer 2: Open-source dataset for training top-performing reward models NeurIPS 2024 Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction EMNLP 2024 Improving Alignment and Robustness with Circuit Breakers NeurIPS 2024 #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models ICLR 2024 InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models EACL 2024 Jailbreak Open-Sourced Large Language Models via Enforced Decoding ACL 2024 Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks EMNLP 2024 Large Language Model Unlearning NeurIPS 2024 Let Me Teach You: Pedagogical Foundations of Feedback for Language Models EMNLP 2024 LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives EMNLP 2024 Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback EMNLP 2024 mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024 Multi-LLM Debate: Framework, Principals, and Interventions NeurIPS 2024 ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024 PaCE: Parsimonious Concept Engineering for Large Language Models NeurIPS 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs NeurIPS 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NeurIPS 2024 Phased Instruction Fine-Tuning for Large Language Models ACL 2024 Preference Alignment with Flow Matching NeurIPS 2024 Questioning the Survey Responses of Large Language Models NeurIPS 2024 Red Teaming Visual Language Models ACL 2024 Reverse-Engineering the Reader EMNLP 2024 RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs EMNLP 2024