Co-occurring keywords · papers mentioning both
Papers
Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
ICLR 2024
DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling
ACL 2024
Embedding Learning for Preference-based Speech Quality Assessment
Interspeech 2024
Enhancing Multimodal Emotion Recognition through ASR Error Compensation and LLM Fine-Tuning
Interspeech 2024
Enhancing Preference-based Linear Bandits via Human Response Time
NeurIPS 2024
Fine-Tuning Language Models with Reward Learning on Policy
NAACL 2024
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
ICLR 2024
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
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
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM
NAACL 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
EMNLP 2024
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
NeurIPS 2024
Identifying Copeland Winners in Dueling Bandits with Indifferences
AISTATS 2024
Improved Analysis for Bandit Learning in Matching Markets
NeurIPS 2024
Improving Attributed Text Generation of Large Language Models via Preference Learning
ACL 2024
Improving Context-Aware Preference Modeling for Language Models
NeurIPS 2024
Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback
ACL 2024
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning
AAAI 2024
Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM
ACL 2024
Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle
IJCAI 2024
Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems
EMNLP 2024
Learning GAI-Decomposable Utility Models for Multiattribute Decision Making
AAAI 2024
Learning Multi-Dimensional Human Preference for Text-to-Image Generation
CVPR 2024
Learning Optimal Advantage from Preferences and Mistaking It for Reward
AAAI 2024