Zhiwei He

According to our database, Zhiwei He authored at least 32 papers between 2022 and 2025.

Collaborative distances:

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

2025

Igniting Language Intelligence: The Hitchhiker's Guide from Chain-of-Thought Reasoning to Language Agents.

Zhuosheng Zhang, Yao Yao, Aston Zhang, Xiangru Tang, Xinbei Ma, Zhiwei He, Yiming Wang, Mark Gerstein, Rui Wang, Gongshen Liu, Hai Zhao

ACM Comput. Surv., August, 2025

RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents.

Peisong Wang, Ruotian Ma, Bang Zhang, Xingyu Chen, Zhiwei He, Kang Luo, Qingsong Lv, Qingxuan Jiang, Zheng Xie, Shanyi Wang, Yuan Li, Fanghua Ye, Jian Li, Yifan Yang, Zhaopeng Tu, Xiaolong Li

CoRR, July, 2025

DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning.

Ziyin Zhang, Jiahao Xu, Zhiwei He, Tian Liang, Qiuzhi Liu, Yansi Li, Linfeng Song, Zhengwen Liang, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu

CoRR, May, 2025

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training.

Mengru Wang, Xingyu Chen, Yue Wang, Zhiwei He, Jiahao Xu, Tian Liang, Qiuzhi Liu, Yunzhi Yao, Wenxuan Wang, Ruotian Ma, Haitao Mi, Ningyu Zhang, Zhaopeng Tu, Xiaolong Li, Dong Yu

CoRR, May, 2025

Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards.

Xiaoyuan Liu, Tian Liang, Zhiwei He, Jiahao Xu, Wenxuan Wang, Pinjia He, Zhaopeng Tu, Haitao Mi, Dong Yu

CoRR, May, 2025

DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

Zhiwei He, Tian Liang, Jiahao Xu, Qiuzhi Liu, Xingyu Chen, Yue Wang, Linfeng Song, Dian Yu, Zhenwen Liang, Wenxuan Wang, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu

CoRR, April, 2025

Dancing with Critiques: Enhancing LLM Reasoning with Stepwise Natural Language Self-Critique.

Yansi Li, Jiahao Xu, Tian Liang, Xingyu Chen, Zhiwei He, Qiuzhi Liu, Rui Wang, Zhuosheng Zhang, Zhaopeng Tu, Haitao Mi, Dong Yu

CoRR, March, 2025

The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models.

Ke Ji, Jiahao Xu, Tian Liang, Qiuzhi Liu, Zhiwei He, Xingyu Chen, Xiaoyuan Liu, Zhijie Wang, Junying Chen, Benyou Wang, Zhaopeng Tu, Haitao Mi, Dong Yu

CoRR, March, 2025

Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

Yue Wang, Qiuzhi Liu, Jiahao Xu, Tian Liang, Xingyu Chen, Zhiwei He, Linfeng Song, Dian Yu, Juntao Li, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu

CoRR, January, 2025

Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model.

Wenhong Zhu, Zhiwei He, Xiaofeng Wang, Pengfei Liu, Rui Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RaSA: Rank-Sharing Low-Rank Adaptation.

Zhiwei He, Zhaopeng Tu, Xing Wang, Xingyu Chen, Zhijie Wang, Jiahao Xu, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Exploring Human-Like Translation Strategy with Large Language Models.

Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang, Zhaopeng Tu, Shuming Shi, Xing Wang

Trans. Assoc. Comput. Linguistics, 2024

Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu

CoRR, 2024

Draft Model Knows When to Stop: A Self-Verification Length Policy for Speculative Decoding.

Ziyin Zhang, Jiahao Xu, Tian Liang, Xingyu Chen, Zhiwei He, Rui Wang, Zhaopeng Tu

CoRR, 2024

Evaluating Knowledge-based Cross-lingual Inconsistency in Large Language Models.

Xiaolin Xing, Zhiwei He, Haoyu Xu, Xing Wang, Rui Wang, Yu Hong

CoRR, 2024

MarkLLM: An Open-Source Toolkit for LLM Watermarking.

Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King

CoRR, 2024

Is Cognition and Action Consistent or Not: Investigating Large Language Model's Personality.

Yiming Ai, Zhiwei He, Ziyin Zhang, Wenhong Zhu, Hongkun Hao, Kai Yu, Lingjun Chen, Rui Wang

CoRR, 2024

CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models.

Wenhong Zhu, Hongkun Hao, Zhiwei He, Yunze Song, Jiao Yueyang, Yumeng Zhang, Hanxu Hu, Yiran Wei, Rui Wang, Hongyuan Lu

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

Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model.

Zhiwei He, Xing Wang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang, Shuming Shi, Zhaopeng Tu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Improving Open-Ended Text Generation via Adaptive Decoding.

Wenhong Zhu, Hongkun Hao, Zhiwei He, Yiming Ai, Rui Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents.

Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Fangqi Li, Zhuosheng Zhang, Rui Wang, Gongshen Liu

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

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, Zhaopeng Tu

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

Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method.

Tian Xia, Zhiwei He, Tong Ren, Yibo Miao, Zhuosheng Zhang, Yang Yang, Rui Wang

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

Unsupervised Sign Language Translation and Generation.

Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang

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

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models.

Zhiwei He, Binglin Zhou, Hongkun Hao, Aiwei Liu, Xing Wang, Zhaopeng Tu, Zhuosheng Zhang, Rui Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Discrete limited attentional collaborative filtering for fast social recommendation.

Zhibin Hu, Xuebin Zhou, Zhiwei He, Zehang Yang, Jian Chen, Jin Huang

Eng. Appl. Artif. Intell., 2023

CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models.

Wenhong Zhu, Hongkun Hao, Zhiwei He, Yunze Song, Yumeng Zhang, Hanxu Hu, Yiran Wei, Rui Wang, Hongyuan Lu

CoRR, 2023

Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models.

Tian Liang, Zhiwei He, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi, Xing Wang

CoRR, 2023

ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback.

Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Zhiwei He, Tian Liang, Xing Wang, Shuming Shi, Zhaopeng Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation.

Yiming Ai, Zhiwei He, Kai Yu, Rui Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task.

Zhiwei He, Xing Wang, Zhaopeng Tu, Shuming Shi, Rui Wang

Proceedings of the Seventh Conference on Machine Translation, 2022

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation.

Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, Zhaopeng Tu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022