Yuyang Wu's Homepage
5000 Forbes Ave
Pittsburgh, PA 15213
I am Yuyang (Younger) Wu, a Ph.D. student in AI for Science at Carnegie Mellon University, where I also earned my M.S. from the School of Computer Science. My research focuses on agent self-evolution and recursive self-improvement of large language models.
My work aims to build AI agents that can continuously evolve — refining their own capabilities, strategies, and knowledge through self-directed improvement. I am passionate about developing autonomous systems that learn from their own experience and iteratively become more capable, reliable, and general.
My recent research explores how agents can bootstrap their own growth through recursive self-improvement, enabling AI to accelerate scientific discovery while continuously raising its own standards of accuracy and generalization.
news
| Aug 20, 2025 | Our paper on MolErr2Fix has been accepted to EMNLP 2025 as an oral presentation! |
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selected publications
- Multiview representation learning for identification of novel cancer genes and their causative biological mechanismsBriefings in Bioinformatics, 2024
- ECCVReasoning Path and Latent State Analysis for Multi-view Visual Spatial Reasoning: A Cognitive Science PerspectiveIn ECCV 2026, 2026
- arXivCan Agents Price a Reaction? Evaluating LLMs on Chemical Cost ReasoningarXiv preprint arXiv:2605.07251, 2026
- BioNLPKGRxn-LLM: Knowledge Graph Enhanced Large Language Models for Molecular Reaction ReasoningIn BioNLP 2026, 2026
- arXivCLORE: Content-Level Optimization for Reasoning EfficiencyarXiv preprint arXiv:2605.22211, 2026
- arXivKARA: Efficient Reasoning LLM Serving via Sliding-Window KV Cache CompressionarXiv preprint arXiv:2607.01237, 2026
- VISVeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge GraphsIn VIS 2026, 2026
- HimGNN: a novel hierarchical molecular graph representation learning framework for property predictionBriefings in Bioinformatics, 2023