Jiannan Cao

According to our database, Jiannan Cao authored at least 18 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Dep-Search: Learning Dependency-Aware Reasoning Traces with Persistent Memory.

Yanming Liu, Xinyue Peng, Zixuan Yan, Yanxin Shen, Wenjie Xu, Yuefeng Huang, Xinyi Wang, Jiannan Cao, Jianwei Yin, Xuhong Zhang

CoRR, January, 2026

NC2C: Automated Convexification of Generic Non-Convex Optimization Problems.

Xinyue Peng, Yanming Liu, Yihan Cang, Yuwei Zhang, Xinyi Wang, Songhang Deng, Jiannan Cao

CoRR, January, 2026

ToolGate: Contract-Grounded and Verified Tool Execution for LLMs.

Yanming Liu, Xinyue Peng, Jiannan Cao, Xinyi Wang, Songhang Deng, Jintao Chen, Jianwei Yin, Xuhong Zhang

CoRR, January, 2026

2025

CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis.

Anjiang Wei, Tarun Suresh, Jiannan Cao, Naveen Kannan, Yuheng Wu, Kai Yan, Thiago S. F. X. Teixeira, Ke Wang, Alex Aiken

CoRR, March, 2025

EquiBench: Benchmarking Code Reasoning Capabilities of Large Language Models via Equivalence Checking.

Anjiang Wei, Jiannan Cao, Ran Li, Hongyu Chen, Yuhui Zhang, Ziheng Wang, Yaofeng Sun, Yuan Liu, Thiago S. F. X. Teixeira, Diyi Yang, Ke Wang, Alex Aiken

CoRR, February, 2025

Tool-Planner: Task Planning with Clusters across Multiple Tools.

Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yuwei Zhang, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding.

Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yanxin Shen, Tianyu Du, Sheng Cheng, Xun Wang, Jianwei Yin, Xuhong Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence Checking.

Anjiang Wei, Jiannan Cao, Ran Li, Hongyu Chen, Yuhui Zhang, Ziheng Wang, Yuan Liu, Thiago S. F. X. Teixeira, Diyi Yang, Ke Wang, Alex Aiken

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models.

Yanming Liu, Xinyue Peng, Yuwei Zhang, Xiaolan Ke, Songhang Deng, Jiannan Cao, Chen Ma, Mengchen Fu, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation.

Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan

CoRR, 2024

MemDPT: Differential Privacy for Memory Efficient Language Models.

Yanming Liu, Xinyue Peng, Jiannan Cao, Yuwei Zhang, Chen Ma, Songhang Deng, Mengchen Fu, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du

CoRR, 2024

Tool-Planner: Dynamic Solution Tree Planning for Large Language Model with Tool Clustering.

Yanming Liu, Xinyue Peng, Yuwei Zhang, Jiannan Cao, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du

CoRR, 2024

SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation.

Yanming Liu, Xinyue Peng, Jiannan Cao, Le Dai, Xingzu Liu, Weihao Liu, Mingbang Wang

CoRR, 2024

SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Causal Inference.

Yanming Liu, Xinyue Peng, Jiannan Cao, Le Dai, Xingzu Liu, Ruilin Nong, Weihao Liu, Songhang Deng

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications.

Xiangru Tang, Chunyuan Deng, Hanming Wang, Haoran Wang, Yilun Zhao, Wenqi Shi, May Fung, Wangchunshu Zhou, Jiannan Cao, Heng Ji, Arman Cohan, Mark Gerstein

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback.

Yanming Liu, Xinyue Peng, Xuhong Zhang, Weihao Liu, Jianwei Yin, Jiannan Cao, Tianyu Du

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation.

Chunyuan Deng, Yilun Zhao, Yuzhao Heng, Yitong Li, Jiannan Cao, Xiangru Tang, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

ProAgent: From Robotic Process Automation to Agentic Process Automation.

Yining Ye, Xin Cong, Shizuo Tian, Jiannan Cao, Hao Wang, Yujia Qin, Yaxi Lu, Heyang Yu, Huadong Wang, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2023