Cao Liu

Researcher, LongCat Interaction, Meituan

Joined

July 2019

Names

Cao Liu

Emails

****@meituan.com (Confirmed)

****@163.com (Confirmed)

Personal Links

DBLP

Semantic Scholar

ACL Anthology

Career & Education History

Researcher

LongCat Interaction, Meituan (meituan.com)

2020 – 2026

PhD student

Institute of Automation, University of the Chinese Academy of Sciences (ucas.ac.cn)

2017 – 2020

Advisors, Relations & Conflicts

Coworker

Xuxin Cheng

2025 – 2026

PhD Advisor

Jun Zhao

2015 – 2020

Expertise

Natural Language Processing

Dialog System

LLM

Agent

2015 – 2026

Publications

Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO
Xin Yang, Letian Li, Abudukelimu Wuerkaixi, Xuxin Cheng, Cao Liu, Ke Zeng, Xunliang Cai, Wenyuan Jiang
- ICLR 2026 Poster
- Readers: Everyone
GameInstruct: Teaching Machines to Reason via Chameleon Game
Chunkang Zhang, Yaojie Lu, Hongyu Lin, Cao Liu, Ke Zeng, Wan Guanglu, Xunliang Cai, Xianpei Han, Le Sun
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Generative Calibration for In-context Learning
Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu
- EMNLP 2023 Findings
- Readers: Everyone
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process
Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu
- EMNLP 2023 Main
- Readers: Everyone
Curriculum Learning for Natural Answer Generation
Cao Liu, Shizhu He, Kang Liu, Jun Zhao
- 2018 (modified: 13 Nov 2024)
- IJCAI 2018
- Readers: Everyone
Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning
Shizhu He, Cao Liu, Kang Liu, Jun Zhao
- 2017 (modified: 13 Nov 2024)
- ACL (1) 2017
- Readers: Everyone

Cao Liu

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO

GameInstruct: Teaching Machines to Reason via Chameleon Game

Generative Calibration for In-context Learning

Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process

Curriculum Learning for Natural Answer Generation

Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning

Co-Authors