| 2026 | AAAI | Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models. | Yixin Bu, Guanyun Zou, Renzhi Wang, Runze Xia, Cunjun Wang, Hongliang Dai, Xiaoqing Ma, Piji Li |
| 2026 | AAAI | Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion. | Dong Zhao, Yadong Wang, Xiang Chen, Chenxi Wang, Hongliang Dai, Chuanxing Geng, Shengzhong Zhang, Shaoyuan Li, Sheng-Jun Huang |
| 2026 | ACL | DUD: Decoupled Update Dynamics for Reliable Uncertainty Quantification in Large Language Models. | Yixin Bu, Runze Xia, Guanyun Zou, Yupeng Ji, Hongliang Dai, Haodong Liu, Piji Li |
| 2026 | ACL | CRISP: Compressing Redundancy in Chain-of-Thought via Intrinsic Saliency Pruning. | Yangsong Lan, Hongliang Dai, Piji Li |
| 2026 | ACL | Leveraging Label Semantics and Entity Description Generation for LLM-based Fine-grained Entity Typing. | Yingying Ma, Hongliang Dai, Xia Zhang, Piji Li |
| 2025 | ACL | Generating Diverse Training Samples for Relation Extraction with Large Language Models. | Zexuan Li, Hongliang Dai, Piji Li |
| 2025 | EMNLP | M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models. | Zexuan Li, Hongliang Dai, Piji Li |
| 2024 | AAAI | ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference. | Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen |
| 2024 | COLING | Characteristic AI Agents via Large Language Models. | Xi Wang, Hongliang Dai, Shen Gao, Piji Li |
| 2024 | ICASSP | An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models. | Xi Wang, Ruoqing Zhao, Hongliang Dai, Piji Li |
| 2023 | ACL | From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained. | Hongliang Dai, Ziqian Zeng |
| 2023 | EMNLP | Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation. | Xuanfan Ni, Hongliang Dai, Zhaochun Ren, Piji Li |
| 2021 | ACL | Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model. | Hongliang Dai, Yangqiu Song, Haixun Wang |
| 2020 | LREC | A Chinese Corpus for Fine-grained Entity Typing. | Chin Lee, Hongliang Dai, Yangqiu Song, Xin Li |
| 2019 | ACL | Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision. | Hongliang Dai, Yangqiu Song |
| 2019 | EMNLP | Improving Fine-grained Entity Typing with Entity Linking. | Hongliang Dai, Donghong Du, Xin Li, Yangqiu Song |
| 2018 | EMNLP | Entity Linking within a Social Media Platform: A Case Study on Yelp. | Hongliang Dai, Yangqiu Song, Liwei Qiu, Rijia Liu |
| 2017 | ICDAR | Propagation Based Prototype Prediction. | Tonghua Su, Hongliang Dai, Ce Liu, Lijun Yu |