Internal Consistency and Self-Feedback in Large Language Models: A Survey
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2407.14507
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Published
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46
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New Desiderata for Direct Preference Optimization
Paper • 2407.09072 • Published • 10 -
Self-Recognition in Language Models
Paper • 2407.06946 • Published • 24 -
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
Paper • 2407.04842 • Published • 53 -
Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning
Paper • 2407.00782 • Published • 23 -
Direct Preference Knowledge Distillation for Large Language Models
Paper • 2406.19774 • Published • 22 -
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
Paper • 2407.00617 • Published • 7 -
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Paper • 2406.18629 • Published • 41 -
Aligning Teacher with Student Preferences for Tailored Training Data Generation
Paper • 2406.19227 • Published • 24 -
Can LLMs Learn by Teaching? A Preliminary Study
Paper • 2406.14629 • Published • 19 -
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data
Paper • 2406.18790 • Published • 33 -
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
Paper • 2406.16377 • Published • 11 -
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
Paper • 2406.16855 • Published • 54 -
OlympicArena Medal Ranks: Who Is the Most Intelligent AI So Far?
Paper • 2406.16772 • Published • 2 -
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
Paper • 2406.12624 • Published • 36 -
Bootstrapping Language Models with DPO Implicit Rewards
Paper • 2406.09760 • Published • 38 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 21 -
Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
Paper • 2407.18248 • Published • 32