Boqin Yuan

b4yuan[at]ucsd.edu

I’m a Master student in Computer Science at UC San Diego, exploring the intersection of Machine Learning and Software Engineering. At UCSD, I work with STABLE Lab (Prof. Jishen Zhao) on AI Agent and ML systems research. My work has been accepted at top venues including ICML, DAC, and ICLR workshops, spanning AI agents, ML systems, and agent evaluation.

I’m an enthusiastic open-source contributor to AI evaluation benchmarks. I’m an active contributor to the Harbor adapter for Terminal-Bench, and a co-author of SkillsBench and Agents’ Last Exam, community benchmarks that measure how well LLM agents handle real, expertise-heavy work.

This summer, I’m joining Moody’s Analytics in San Francisco as an SDE Intern (AI Agent) on the Banking team, building and evaluating AI agents for financial services.

I was a full-time Machine Learning Engineer at CambioML (YC S23) from 2024-2025, working on vision language models (AnyParser) and Computer Use Agent (CUA) systems (Energent.ai).

Previously studied Mathematics & Computer Science and Statistics at University of Illinois at Urbana-Champaign (UIUC). I bridge research ideas and production-ready engineering.

Research Interests: Machine Learning, AI Agent, ML Systems, AI Evaluation, Reinforcement Learning

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News

May 19, 2026	This summer, I’m joining Moody’s Analytics in San Francisco as an SDE Intern (AI Agent) on the Banking team, building and evaluating AI agents for financial services.
Apr 30, 2026	AMA-Bench accepted to ICML 2026!
Mar 03, 2026	Diagnosing Retrieval vs. Utilization Bottlenecks accepted to ICLR 2026 MemAgents.

Selected Publications

CAIS-W

ClawTrace: Cost-Aware Tracing for LLM Agent Skill Distillation

Boqin Yuan, Renchu Song, Yue Su, Sen Yang, and Jing Qin

In ACM CAIS 2026 Workshop on Agent Skills (Oral), 2026

Paper Bib Code Website

@inproceedings{yuan2026clawtrace,
  title = {ClawTrace: Cost-Aware Tracing for LLM Agent Skill Distillation},
  author = {Yuan, Boqin and Song, Renchu and Su, Yue and Yang, Sen and Qin, Jing},
  booktitle = {ACM CAIS 2026 Workshop on Agent Skills (Oral)},
  year = {2026},
}

ICLR-W

Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory

Boqin Yuan, Yue Su, and Kun Yao

In ICLR 2026 Workshop MemAgents (Poster), 2026

Paper Bib

@inproceedings{yuan2026diagnosing,
  title = {Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory},
  author = {Yuan, Boqin and Su, Yue and Yao, Kun},
  booktitle = {ICLR 2026 Workshop MemAgents (Poster)},
  year = {2026},
}

ICML

AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications

Yujie Zhao, Boqin Yuan, Junbo Huang, Haocheng Yuan, Zhongming Yu, Haozhou Xu, and 6 more authors

In International Conference on Machine Learning (ICML), 2026

Paper Bib Website

@inproceedings{zhao2026amabench,
  title = {AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications},
  author = {Zhao, Yujie and Yuan, Boqin and Huang, Junbo and Yuan, Haocheng and Yu, Zhongming and Xu, Haozhou and Hu, Lanxiang and Shankarampeta, Abhilash and Huang, Zimeng and Ni, Wentao and Tian, Yuandong and Zhao, Jishen},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
}

DAC

PRO-V-R1: Reasoning Enhanced Programming Agent for RTL Verification

Yujie Zhao, Zhijing Wu, Boqin Yuan, Zhongming Yu, Hejia Zhang, Wentao Ni, and 3 more authors

In Design Automation Conference (DAC), 2026

Paper Bib

@inproceedings{zhao2026provr1,
  title = {PRO-V-R1: Reasoning Enhanced Programming Agent for RTL Verification},
  author = {Zhao, Yujie and Wu, Zhijing and Yuan, Boqin and Yu, Zhongming and Zhang, Hejia and Ni, Wentao and Ho, Chia-Tung and Ren, Haoxing and Zhao, Jishen},
  booktitle = {Design Automation Conference (DAC)},
  year = {2026},
}