preference learning

Learning Populations of Preferences via Pairwise Comparison Queries AISTATS 2024 Learning to Paraphrase for Alignment with LLM Preference EMNLP 2024 Let Me Teach You: Pedagogical Foundations of Feedback for Language Models EMNLP 2024 Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability UAI 2024 LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024 Looping in the Human: Collaborative and Explainable Bayesian Optimization AISTATS 2024 Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation EMNLP 2024 Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024 Neural Reasoning about Agents’ Goals, Preferences, and Actions AAAI 2024 Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning EMNLP 2024 Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NeurIPS 2024 Online Learning of Capacity-Based Preference Models IJCAI 2024 Online Recommendations for Agents with Discounted Adaptive Preferences ALT 2024 On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models IJCAI 2024 Optimal Design for Human Preference Elicitation NeurIPS 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs NeurIPS 2024 PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents EMNLP 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NeurIPS 2024 PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs ACL 2024 Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) AAAI 2024 Preference-based Pure Exploration NeurIPS 2024 Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice NeurIPS 2024 Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences CVPR 2024 Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning NeurIPS 2024 Queueing Matching Bandits with Preference Feedback NeurIPS 2024