Co-occurring keywords · papers mentioning both
Papers
A LLM-based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation
EMNLP 2024
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models
EMNLP 2024
BATON: Aligning Text-to-Audio Model Using Human Preference Feedback
IJCAI 2024
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
ACL 2024
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
ICML 2024
Compositional Preference Models for Aligning LMs
ICLR 2024
ContextRef: Evaluating Referenceless Metrics for Image Description Generation
ICLR 2024
Diffusion Model Alignment Using Direct Preference Optimization
CVPR 2024
Direct Preference Optimization with an Offset
ACL 2024
Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?
ACL 2024
Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration
EMNLP 2024
GenAI Arena: An Open Evaluation Platform for Generative Models
NeurIPS 2024
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation
CVPR 2024
HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition
ACL 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
EMNLP 2024
Hybrid Alignment Training for Large Language Models
ACL 2024
InstructEval: Instruction-Tuned Text Evaluator from Human Preference
ACL 2024
Learning Multi-Dimensional Human Preference for Text-to-Image Generation
CVPR 2024
Learning Personalized Alignment for Evaluating Open-ended Text Generation
EMNLP 2024
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
EMNLP 2024
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
ICML 2024
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration
EMNLP 2024
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
EMNLP 2024
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
NeurIPS 2024
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment
EMNLP 2024