Shiqi Chen

Orcid: 0000-0002-9129-0300

Affiliations:
  • Hong Kong University of Science and Technology, Hong Kong
  • City University of Hong Kong, Hong Kong


According to our database1, Shiqi Chen authored at least 22 papers between 2021 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Planning with the Views via Scene Self-Exploration.
CoRR, May, 2026

RAGEN-2: Reasoning Collapse in Agentic RL.
CoRR, April, 2026

SkillCraft: Can LLM Agents Learn to Use Tools Skillfully?
CoRR, March, 2026

How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Internalizing World Models via Self-Play Finetuning for Agentic RL.
CoRR, October, 2025

Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs.
CoRR, July, 2025

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning?
CoRR, July, 2025

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond.
CoRR, May, 2025

Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs.
CoRR, February, 2025

SkyLadder: Better and Faster Pretraining via Context Window Scheduling.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies.
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.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Universal Truthfulness Hyperplane Inside LLMs.
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.
CoRR, 2023

Composing Parameter-Efficient Modules with Arithmetic Operations.
CoRR, 2023

Evaluating Factual Consistency of Summaries with Large Language Models.
CoRR, 2023

Composing Parameter-Efficient Modules with Arithmetic Operation.
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.
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.
Proceedings of the International Joint Conference on Neural Networks, 2021


  Loading...