Dawei Li

According to our database, Dawei Li authored at least 22 papers between 2022 and 2025.

Collaborative distances:

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

2025

Are Today's LLMs Ready to Explain Well-Being Concepts?

Bohan Jiang, Dawei Li, Zhen Tan, Chengshuai Zhao, Huan Liu

CoRR, August, 2025

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens.

Chengshuai Zhao, Zhen Tan, Pingchuan Ma, Dawei Li, Bohan Jiang, Yancheng Wang, Yingzhen Yang, Huan Liu

CoRR, August, 2025

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm.

Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu

CoRR, June, 2025

The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation.

Ruichen Zhang, Rana Muhammad Shahroz Khan, Zhen Tan, Dawei Li, Song Wang, Tianlong Chen

CoRR, May, 2025

Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models.

Liangjie Huang, Dawei Li, Huan Liu, Lu Cheng

CoRR, April, 2025

Preference Leakage: A Contamination Problem in LLM-as-a-judge.

Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu

CoRR, February, 2025

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents.

Dawei Li, Zhen Tan, Peijia Qian, Yifan Li, Kumar Satvik Chaudhary, Lijie Hu, Jiayi Shen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment.

Sizhe Wang, Yongqi Tong, Hengyuan Zhang, Dawei Li, Xin Zhang, Tianlong Chen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Exploring Large Language Models for Feature Selection: A Data-centric Perspective.

Dawei Li, Zhen Tan, Huan Liu

SIGKDD Explor., December, 2024

Assessing the Impact of Conspiracy Theories Using Large Language Models.

Bohan Jiang, Dawei Li, Zhen Tan, Xinyi Zhou, Ashwin Rao, Kristina Lerman, H. Russell Bernard, Huan Liu

CoRR, 2024

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge.

Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu

CoRR, 2024

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs.

Tianqi Shang, Shu Yang, Weiqing He, Tianhua Zhai, Dawei Li, Bojian Hou, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen

CoRR, 2024

LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking.

Alimohammad Beigi, Bohan Jiang, Dawei Li, Tharindu Kumarage, Zhen Tan, Pouya Shaeri, Huan Liu

CoRR, 2024

Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models.

Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen

CoRR, 2024

Large Language Models for Data Annotation and Synthesis: A Survey.

Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu

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

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature.

Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Contextualization Distillation from Large Language Model for Knowledge Graph Completion.

Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Multi-level Contrastive Learning for Script-based Character Understanding.

Dawei Li, Hengyuan Zhang, Yanran Li, Shiping Yang

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

Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning.

Hengyuan Zhang, Dawei Li, Yanran Li, Chenming Shang, Chufan Shi, Yong Jiang

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022

C3KG: A Chinese Commonsense Conversation Knowledge Graph.

Dawei Li, Yanran Li, Jiayi Zhang, Ke Li, Chen Wei, Jianwei Cui, Bin Wang

CoRR, 2022

Fine-grained Contrastive Learning for Definition Generation.

Hengyuan Zhang, Dawei Li, Shiping Yang, Yanran Li

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

C³KG: A Chinese Commonsense Conversation Knowledge Graph.

Dawei Li, Yanran Li, Jiayi Zhang, Ke Li, Chen Wei, Jianwei Cui, Bin Wang

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