Yulin Chen

According to our database, Yulin Chen authored at least 19 papers between 2021 and 2026.

Collaborative distances:

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

2026

The Unlearnability Phenomenon in RLVR for Language Models.

Yulin Chen, He He, Chen Zhao

CoRR, May, 2026

Search, Do not Guess: Teaching Small Language Models to Be Effective Search Agents.

Yizhou Liu, Qi Sun, Yulin Chen, Siyue Zhang, Chen Zhao

CoRR, April, 2026

2025

Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors.

Chen Yueh-Han, Nitish Joshi, Yulin Chen, Maksym Andriushchenko, Rico Angell, He He

CoRR, June, 2025

Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification.

Anqi Zhang, Yulin Chen, Jane Pan, Chen Zhao, Aurojit Panda, Jinyang Li, He He

CoRR, April, 2025

Fusing Highly Specialized Language Models for Comprehensive Expertise.

Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Kaiyan Zhang, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun

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

2024

Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models.

Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Empowering Private Tutoring by Chaining Large Language Models.

Yulin Chen, Ning Ding, Hai-Tao Zheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Parameter-efficient fine-tuning of large-scale pre-trained language models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

Nat. Mac. Intell., March, 2023

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou

CoRR, 2023

Sparse Low-rank Adaptation of Pre-trained Language Models.

Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Few-shot Classification with Hypersphere Modeling of Prototypes.

Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Haitao Zheng, Zhiyuan Liu, Pengjun Xie

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

Exploring Lottery Prompts for Pre-trained Language Models.

Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Haitao Zheng, Zhiyuan Liu, Pengjun Xie

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

CoRR, 2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction.

Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Prompt-learning for Fine-grained Entity Typing.

Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Haitao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

OpenPrompt: An Open-source Framework for Prompt-learning.

Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Haitao Zheng, Maosong Sun

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

Prompt-Learning for Fine-Grained Entity Typing.

Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim

CoRR, 2021

Few-NERD: A Few-shot Named Entity Recognition Dataset.

Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021