LLM-Powered Ensemble Learning for Paper Source Tracing: A GPU-Free Approach. - Kunlong Chen; Junjun Wang; Zhaoqun Chen; Kunjin Chen; Yitian Chen 003 (CoRR, 2024)

Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling. - Yitian Chen 003; Jingfan Xia; Siyu Shao; Dongdong Ge; Yinyu Ye 001 (CoRR, 2025)

Auto-Formulating Dynamic Programming Problems with Large Language Models. - Chenyu Zhou; Jingyuan Yang 016; Linwei Xin; Yitian Chen 003; Ziyan He; Dongdong Ge (CoRR, 2025)

HearSay Benchmark: Do Audio LLMs Leak What They Hear? - Jin Wang; Liang Lin; Kaiwen Luo; Weiliu Wang; Yitian Chen 003; Moayad Aloqaily; Xuehai Tang; Zhenhong Zhou; Kun Wang 056; Li Sun 008; Qingsong Wen (CoRR, 2026)

RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios. - Yibo Zhang; Liang Lin; Kaiwen Luo; Shilinlu Yan; Jin Wang; Yaoqi Guo; Yitian Chen 003; Yalan Qin; Zhenhong Zhou; Kun Wang 056; Li Sun 008 (CoRR, 2026)

OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling. - Yitian Chen 003; Cheng Cheng; Yinan Sun; Zi Ling; Dongdong Ge (CoRR, 2026)