Shiqi Chen

According to our database, Shiqi Chen authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs.

Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang

CoRR, July, 2025

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning?

Ruochen Zhou, Minrui Xu, Shiqi Chen, Junteng Liu, Yunqi Li, Xinxin Lin, Zhengyu Chen, Junxian He

CoRR, July, 2025

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond.

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

CoRR, May, 2025

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging.

Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He

CoRR, May, 2025

Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas.

Shiqi Chen, Tongyao Zhu, Ruochen Zhou, Jinghan Zhang, Siyang Gao, Juan Carlos Niebles, Mor Geva, Junxian He, Jiajun Wu, Manling Li

CoRR, March, 2025

Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies.

Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation.

Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He

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

On the Universal Truthfulness Hyperplane Inside LLMs.

Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He

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

2023

FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu

CoRR, 2023

Composing Parameter-Efficient Modules with Arithmetic Operations.

Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He

CoRR, 2023

Evaluating Factual Consistency of Summaries with Large Language Models.

Shiqi Chen, Siyang Gao, Junxian He

CoRR, 2023

Composing Parameter-Efficient Modules with Arithmetic Operation.

Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FELM: Benchmarking Factuality Evaluation of Large Language Models.

Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Adaptive Adversarial Training for Meta Reinforcement Learning.

Shiqi Chen, Zhengyu Chen, Donglin Wang

Proceedings of the International Joint Conference on Neural Networks, 2021