| Probing toxic content in large pre-trained language models ND Ousidhoum, X Zhao, T Fang, Y Song, DY Yeung ACL 2021, 2021 | 124 | 2021 |
| Exploring the potential of chatgpt on sentence level relations: A focus on temporal, causal, and discourse relations C Chan, C Jiayang, W Wang, Y Jiang, T Fang, X Liu, Y Song Findings of the Association for Computational Linguistics: EACL 2024, 684-721, 2024 | 90* | 2024 |
| ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities H Zhang, X Liu, H Pan, H Ke, J Ou, T Fang, Y Song Artificial Intelligence, 103740, 2022 | 46 | 2022 |
| DISCOS: Bridging the gap between discourse knowledge and commonsense knowledge T Fang, H Zhang, W Wang, Y Song, B He Proceedings of the Web Conference 2021 (WWW 2021), 2648-2659, 2021 | 41 | 2021 |
| Acquiring and modeling abstract commonsense knowledge via conceptualization M He, T Fang, W Wang, Y Song Artificial Intelligence 333, 104149, 2024 | 32 | 2024 |
| CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning W Wang*, T Fang*, B Xu, CYL Bo, Y Song, L Chen ACL 2023, 2023 | 28 | 2023 |
| Storyanalogy: Deriving story-level analogies from large language models to unlock analogical understanding J Cheng, L Qiu, TH Chan, T Fang, W Wang, C Chan Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 26* | 2023 |
| CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering W Wang*, T Fang*, W Ding, B Xu, X Liu, Y Song, A Bosselut Findings of EMNLP 2023, 2023 | 24 | 2023 |
| Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset T Fang, W Wang, S Choi, S Hao, H Zhang, Y Song, B He EMNLP 2021, 2021 | 23 | 2021 |
| CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning W Wang, T Fang, C Li, H Shi, W Ding, B Xu, Z Wang, J Bai, X Liu, J Cheng, ... ACL 2024, 2024 | 22 | 2024 |
| KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection S Choi, T Fang, Z Wang, Y Song EMNLP 2023, 2023 | 22 | 2023 |
| CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models X Wang, R Huang, Z Jin, T Fang, H Qu IEEE VIS 2023, 2023 | 18 | 2023 |
| COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective Z Wang, QV Do, H Zhang, J Zhang, W Wang, T Fang, Y Song, GY Wong, ... ACL 2023, 2023 | 17 | 2023 |
| Weakly Supervised Text Classification using Supervision Signals from a Language Model Z Zeng, W Ni, T Fang, X Li, X Zhao, Y Song Findings of NAACL 2022, 2022 | 17 | 2022 |
| Abspyramid: Benchmarking the abstraction ability of language models with a unified entailment graph Z Wang, H Shi, W Wang, T Fang, H Zhang, S Choi, X Liu, Y Song Findings of NAACL 2024, 2023 | 15 | 2023 |
| MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation Y Su, Z Wang, T Fang, H Zhang, Y Song, T Zhang Findings of EMNLP, 2022 | 12 | 2022 |
| SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller Z Wang, H Zhang, T Fang, Y Song, GY Wong, S See EMNLP 2022, 2022 | 10 | 2022 |
| Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning X Xiao, G Liu, G Gupta, D Cao, S Li, Y Li, T Fang, M Cheng, P Bogdan ICLR 2024, 2024 | 9* | 2024 |
| Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs T Fang, Z Chen, Y Song, A Bosselut ACL 2024, 2024 | 9 | 2024 |
| Getting sick after seeing a doctor? diagnosing and mitigating knowledge conflicts in event temporal reasoning T Fang, Z Wang, W Zhou, H Zhang, Y Song, M Chen Findings of NAACL 2024, 2024 | 8 | 2024 |
Yangqiu SongHKUSTEmail confirmado em cse.ust.hk
