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ORCIDShiqi Chen 0002
Person information
- affiliation: Hong Kong University of Science and Technology, Hong Kong
- affiliation: City University of Hong Kong, Hong Kong
Other persons with the same name
- Shiqi Chen — disambiguation page
- Shiqi Chen 0001
![[0000-0002-3119-8326]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3119-8326")
— National University of Defense Technology, College of Electronic Science and Technology, Changsha, China - Shiqi Chen 0003 — Zhejiang University, College of Optical Science and Engineering, Hangzhou, China
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Conference and Workshop Papers
- 2025
[c6]Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang:
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies. ACL (1) 2025: 23881-23899- 2024
- [c5]Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He:
On the Universal Truthfulness Hyperplane Inside LLMs. EMNLP 2024: 18199-18224 - [c4]Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He:
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. ICML 2024 - 2023
- [c3]Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He:
FELM: Benchmarking Factuality Evaluation of Large Language Models. NeurIPS 2023 - [c2]Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He:
Composing Parameter-Efficient Modules with Arithmetic Operation. NeurIPS 2023 - 2021
- [c1]Shiqi Chen, Zhengyu Chen, Donglin Wang:
Adaptive Adversarial Training for Meta Reinforcement Learning. IJCNN 2021: 1-8
Informal and Other Publications
- 2025
- [i13]Shiqi Chen, Tongyao Zhu, Ruochen Zhou, Jinghan Zhang, Siyang Gao, Juan Carlos Niebles, Mor Geva, Junxian He, Jiajun Wu, Manling Li:
Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas. CoRR abs/2503.01773 (2025) - [i12]Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He:
Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging. CoRR abs/2505.05464 (2025) - [i11]Junteng Liu, Yuanxiang Fan, Zhuo Jiang, Han Ding, Yongyi Hu, Chi Zhang, Yiqi Shi, Shitong Weng, Aili Chen, Shiqi Chen, Yunan Huang, Mozhi Zhang, Pengyu Zhao, Junjie Yan, Junxian He:
SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond. CoRR abs/2505.19641 (2025) - [i10]Ruochen Zhou, Minrui Xu, Shiqi Chen, Junteng Liu, Yunqi Li, Xinxin Lin, Zhengyu Chen, Junxian He:
Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? CoRR abs/2507.04391 (2025) - [i9]Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang:
Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs. CoRR abs/2507.10613 (2025) - [i8]Shiqi Chen, Tongyao Zhu, Zian Wang, Jinghan Zhang, Kangrui Wang, Siyang Gao, Teng Xiao, Yee Whye Teh, Junxian He, Manling Li:
Internalizing World Models via Self-Play Finetuning for Agentic RL. CoRR abs/2510.15047 (2025) - 2024
- [i7]Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He:
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. CoRR abs/2403.01548 (2024) - [i6]Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He:
On the Universal Truthfulness Hyperplane Inside LLMs. CoRR abs/2407.08582 (2024) - 2023
- [i5]Shiqi Chen, Siyang Gao, Junxian He:
Evaluating Factual Consistency of Summaries with Large Language Models. CoRR abs/2305.14069 (2023) - [i4]Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He:
Composing Parameter-Efficient Modules with Arithmetic Operations. CoRR abs/2306.14870 (2023) - [i3]I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu:
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. CoRR abs/2307.13528 (2023) - [i2]Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He:
FELM: Benchmarking Factuality Evaluation of Large Language Models. CoRR abs/2310.00741 (2023) - 2021
- [i1]Shiqi Chen, Zhengyu Chen, Donglin Wang:
Adaptive Adversarial Training for Meta Reinforcement Learning. CoRR abs/2104.13302 (2021)
Coauthor Index
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