Detecting community structure of networks using evolutionary coordination games. - Lang Cao; Xiang Li 010; Lin Han (ISCAS, 2013)

Clustering of Functionally Related Genes Using Machine Learning Techniques. - Yujing Xue; Lang Cao (ICCDA, 2021)

CBCP: A Method of Causality Extraction from Unstructured Financial Text. - Lang Cao; Shihuang Zhang; Juxing Chen (NLPIR, 2021)

An Improved Optical Positioning System With LED Selection. - Lang Cao; Bingcheng Zhu; Zaichen Zhang; Lei Wang 182; Liang Wu 001; Jian Dang (WCSP, 2021)

AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining. - Lang Cao (ADMA (4), 2023)

DiagGPT: An LLM-based Chatbot with Automatic Topic Management for Task-Oriented Dialogue. - Lang Cao (CoRR, 2023)

Enhancing Reasoning Capabilities of Large Language Models: A Graph-Based Verification Approach. - Lang Cao (CoRR, 2023)

Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism. - Lang Cao (EMNLP, 2024)

PILOT: Legal Case Outcome Prediction with Case Law. - Lang Cao; Zifeng Wang 008; Cao Xiao; Jimeng Sun 001 (NAACL-HLT, 2024)

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. - Pengcheng Jiang; Lang Cao; Cao (Danica) Xiao; Parminder Bhatia; Jimeng Sun 001; Jiawei Han 001 (NeurIPS, 2024)

AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models. - Lang Cao; Jimeng Sun 001; Adam Cross (CoRR, 2024)

Accelerating Clinical Evidence Synthesis with Large Language Models. - Zifeng Wang 008; Lang Cao; Benjamin P. Danek; Yichi Zhang; Qiao Jin 001; Zhiyong Lu; Jimeng Sun 001 (CoRR, 2024)

Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning. - Lang Cao; Chao Peng; Yitong Li (CoRR, 2024)

Accelerating clinical evidence synthesis with large language models. - Zifeng Wang 008; Lang Cao; Benjamin P. Danek; Qiao Jin 001; Zhiyong Lu; Jimeng Sun 001 (npj Digit. Medicine, 2025)

A foundation model for human-AI collaboration in medical literature mining. - Zifeng Wang 008; Lang Cao; Qiao Jin 001; Joey Chan; Nicholas Wan; Behdad Afzali; Hyunjin Cho; Changin Choi; Mehdi Emamverdi; Manjot K. Gill; Sun-Hyung Kim; Yijia Li; et al. (CoRR, 2025)

TableMaster: A Recipe to Advance Table Understanding with Language Models. - Lang Cao (CoRR, 2025)

RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation. - Pengcheng Jiang; Lang Cao; Ruike Zhu; Minhao Jiang; Yunyi Zhang 001; Jimeng Sun 001; Jiawei Han 001 (CoRR, 2025)

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning. - Pengcheng Jiang; Jiacheng Lin; Lang Cao; Runchu Tian; SeongKu Kang; Zifeng Wang 008; Jimeng Sun 001; Jiawei Han 001 (CoRR, 2025)

TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models. - Deyin Yi; Yihao Liu; Lang Cao; Mengyu Zhou; Haoyu Dong 001; Shi Han; Dongmei Zhang 001 (CoRR, 2025)

Process Reward Modeling with Entropy-Driven Uncertainty. - Lang Cao; Renhong Chen; Yingtian Zou; Chao Peng; Wu Ning; Huacong Xu; Qian Chen; Yuxian Wang; Peishuo Su; Mofan Peng; Zijie Chen; Yitong Li (CoRR, 2025)

Fortune: Formula-Driven Reinforcement Learning for Symbolic Table Reasoning in Language Models. - Lang Cao; Jingxian Xu; Hanbing Liu; Jinyu Wang; Mengyu Zhou; Haoyu Dong 001; Shi Han; Dongmei Zhang 001 (CoRR, 2025)

SuperRL: Reinforcement Learning with Supervision to Boost Language Model Reasoning. - Yihao Liu; Shuocheng Li; Lang Cao; Yuhang Xie; Mengyu Zhou; Haoyu Dong 001; Xiaojun Ma 001; Shi Han; Dongmei Zhang 001 (CoRR, 2025)

Bingo: Boosting Efficient Reasoning of LLMs via Dynamic and Significance-based Reinforcement Learning. - Hanbing Liu; Lang Cao; Yuanyi Ren; Mengyu Zhou; Haoyu Dong 001; Xiaojun Ma 001; Shi Han; Dongmei Zhang 001 (CoRR, 2025)

Chain-of-Alpha: Unleashing the Power of Large Language Models for Alpha Mining in Quantitative Trading. - Lang Cao; Zekun Xi; Long Liao; Ziwei Yang; Zheng Cao (CoRR, 2025)