Jiannan Cao

According to our database, Jiannan Cao authored at least 13 papers between 2023 and 2025.

Collaborative distances:

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

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

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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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

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