Sen Yang
Final-year PhD Candidate at The Chinese University of Hong Kong
Natural Language Processing · Large Language Models · LLM Pre-training & Mid-training
Hi, I am a final-year PhD candidate at The Chinese University of Hong Kong, advised by Prof. Wai Lam. My research focuses on natural language processing and large language models. More recently, I have been working at Qwen on pre-training and mid-training of LLMs.
During my PhD, I have conducted research at Shanghai AI Lab, Tencent AI Lab, and Alibaba DAMO Academy. Prior to starting my PhD, I worked as a research assistant under the supervision of Prof. Yue Zhang. I received my bachelor’s degree from Xi’an Jiaotong University.
Research Papers
* indicates equal contribution.
2026
Multi-LLM Collaborative Search for Complex Problem Solving
Findings of ACL 2026
2025
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs
Findings of NAACL 2025
LoGU: Long-form Generation with Uncertainty Expressions
Proceedings of ACL 2025
Atomic Calibration of LLMs in Long-Form Generations
Findings of IJCNLP & AACL 2025
2024
Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning
Findings of EMNLP 2024
SeaLLMs — Large Language Models for Southeast Asia
Proceedings of ACL 2024: System Demonstrations
2023
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning
Proceedings of EMNLP 2023
Enhancing Grammatical Error Correction Systems with Explanations
Proceedings of ACL 2023
2022
Cross-domain Generalization for AMR Parsing
Proceedings of EMNLP 2022
Do Prompts Solve NLP Tasks Using Natural Language?
arXiv preprint, 2022
Challenges to Open-Domain Constituency Parsing
Findings of ACL 2022
Investigating Non-local Features for Neural Constituency Parsing
Proceedings of ACL 2022
2021
Template-Based Named Entity Recognition Using BART
Findings of ACL 2021
2020
Making the Best Use of Review Summary for Sentiment Analysis
Proceedings of COLING 2020
What Have We Achieved on Text Summarization?
Proceedings of EMNLP 2020
Services
Peer-review
I am a regular reviewer for ACL Rolling Review (ARR).
I have also reviewed papers for the following conferences:
- ACL 2021
- EMNLP 2023, 2022, 2021
Teaching
I have been a teaching assistant for the following courses at CUHK:
- SEEM 4630: E-Commerce Data Mining (2023-24 Term 2, 2024-25 Term 2)
- ENGG 1130: Multivariable Calculus for Engineers (2022-23 Term 2)
