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Leyang Hu

2 accepted papers

2025

Curvature Tuning: Provable Training-free Model Steering From a Single Parameter

NeurIPS 2025poster

The scaling of model and data sizes has reshaped the AI landscape, establishing finetuning pretrained models as the standard paradigm for solving downstream tasks. However, dominant finetuning methods typically rely on weight adaptation, often lack interpretability, and depend on heuristically chose…

Cited by 0SourcecodeScholar
2025

Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

ICML 2025poster

Recent advancements in large language models (LLMs) have significantly enhanced the ability of LLM-based systems to perform complex tasks through natural language processing and tool interaction. However, optimizing these LLM-based systems for specific tasks remains challenging, often requiring manu…