共有していただいたリンク（Paper ID: 1b7whO4SfY）は、「Self-Refine: Iterative Refinement with Self-Feedback」（自己フィードバックによる反復的な改善）という非常に重要な論文です。 これは、**「AIは一度答えを出して終わりにするのではなく、自分で自分の答えを直す ...

This repository contains code and data for the paper Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision. We use HuggingFace's transformers to load pre-trained ...

Abstract: Partial label learning (PLL) is a typical weakly supervised learning, where each sample is associated with a set of candidate labels. Its basic assumption is that the ground-truth label must ...

Abstract: The technique of iterative refinement for improving the computed solution to a linear system was used on desk calculators and computers in the 1940s and has remained popular. In the 1990s ...

Large Language Models (LLMs) frequently produce logically flawed reasoning even when the final answer is correct. This project introduces Iterative Chain-of-Thought Refinement, a verifier-guided ...

In this paper, we present a new method for supporting abstraction refinement in path-sensitive dataflow analysis. We show how an adjustable merge criterion can be used as an interface to control the ...