@article{yu2026codenib,title={CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents},author={Yu, Zhongming and Yu, Hengjia and Yuan, Boqin and Zhao, Shuting and Chen, Yizhao and Dokania, Aryan and Jagtap, Mihir and Chang, Jiayu and Ma, Yitong and Jayswal, Yash and Ni, Wentao and Zhang, Hejia and Chen, Zhaoling and Deng, Gangda and Zhao, Jishen},journal={arXiv preprint arXiv:2607.25431},year={2026},}
@article{sun2026agentslastexam,title={Agents' Last Exam},author={Sun, Yiyou and Han, Xinyang and Zhang, Weichen and others},journal={arXiv preprint arXiv:2606.05405},year={2026},}
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
@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
@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},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
@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},}
arXiv
SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
@article{li2026skillsbench,title={SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks},author={Li, Xiangyi and Liu, Yimin and Chen, Wenbo and others},journal={arXiv preprint arXiv:2602.12670},year={2026},}
ICML
L-MARS: Legal Multi-Agent System with Agentic Search and Citation-Faithfulness Audit
Boqin Yuan and Ziqi Wang
In ICML 2026 Workshop on AI for Law (AI4Law), 2026
@inproceedings{yuan2026lmars,title={L-MARS: Legal Multi-Agent System with Agentic Search and Citation-Faithfulness Audit},author={Yuan, Boqin and Wang, Ziqi},booktitle={ICML 2026 Workshop on AI for Law (AI4Law)},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
@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},}
2025
arXiv
aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
Pengsong Zhang, Xiang Hu, Guowei Huang, Yang Qi, Heng Zhang, Boqin Yuan, and 1 more author
@article{zhang2025aixiv,title={aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists},author={Zhang, Pengsong and Hu, Xiang and Huang, Guowei and Qi, Yang and Zhang, Heng and Yuan, Boqin and others},journal={arXiv preprint arXiv:2508.15126},year={2025},}