Tianqing Fang

According to our database, Tianqing Fang authored at least 37 papers between 2021 and 2024.

Collaborative distances:

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

2024

: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.

Xingbo Wang, Renfei Huang, Zhihua Jin, Tianqing Fang, Huamin Qu

IEEE Trans. Vis. Comput. Graph., January, 2024

CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge.

Tianshi Zheng, Jiaxin Bai, Yicheng Wang, Tianqing Fang, Yue Guo, Yauwai Yim, Yangqiu Song

CoRR, 2024

On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions.

Weiqi Wang, Tianqing Fang, Haochen Shi, Baixuan Xu, Wenxuan Ding, Liyu Zhang, Wei Fan, Jiaxin Bai, Haoran Li, Xin Liu, Yangqiu Song

CoRR, 2024

MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding.

Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao Jing, Tianqing Fang, Jiaxin Bai, Long Chen, Yangqiu Song

CoRR, 2024

IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.

Wenxuan Ding, Weiqi Wang, Sze Heng Douglas Kwok, Minghao Liu, Tianqing Fang, Jiaxin Bai, Junxian He, Yangqiu Song

CoRR, 2024

EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion.

Ying Su, Tianqing Fang, Huiru Xiao, Weiqi Wang, Yangqiu Song, Tong Zhang, Lei Chen

CoRR, 2024

Acquiring and modeling abstract commonsense knowledge via conceptualization.

Mutian He, Tianqing Fang, Weiqi Wang, Yangqiu Song

Artif. Intell., 2024

AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph.

Zhaowei Wang, Haochen Shi, Weiqi Wang, Tianqing Fang, Hongming Zhang, Sehyun Choi, Xin Liu, Yangqiu Song

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

Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning.

Tianqing Fang, Zhaowei Wang, Wenxuan Zhou, Hongming Zhang, Yangqiu Song, Muhao Chen

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

Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.

Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On-the-fly Denoising for Data Augmentation in Natural Language Understanding.

Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen

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

ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases.

Quyet V. Do, Tianqing Fang, Shizhe Diao, Zhaowei Wang, Yangqiu Song

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.

Chunkit Chan, Cheng Jiayang, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, Yangqiu Song

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

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation.

Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs.

Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning.

Weiqi Wang, Tianqing Fang, Chunyang Li, Haochen Shi, Wenxuan Ding, Baixuan Xu, Zhaowei Wang, Jiaxin Bai, Xin Liu, Cheng Jiayang, Chunkit Chan, Yangqiu Song

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.

Xingbo Wang, Renfei Huang, Zhihua Jin, Tianqing Fang, Huamin Qu

CoRR, 2023

ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.

Chunkit Chan, Jiayang Cheng, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, Yangqiu Song

CoRR, 2023

CKBP v2: An Expert-Annotated Evaluation Set for Commonsense Knowledge Base Population.

Tianqing Fang, Quyet V. Do, Sehyun Choi, Weiqi Wang, Yangqiu Song

CoRR, 2023

KnowComp at SemEval-2023 Task 7: Fine-tuning Pre-trained Language Models for Clinical Trial Entailment Identification.

Weiqi Wang, Baixuan Xu, Tianqing Fang, Lirong Zhang, Yangqiu Song

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering.

Weiqi Wang, Tianqing Fang, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut

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

QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering.

Haochen Shi, Weiqi Wang, Tianqing Fang, Baixuan Xu, Wenxuan Ding, Xin Liu, Yangqiu Song

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

Doolittle: Benchmarks and Corpora for Academic Writing Formalization.

Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang

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

KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection.

Sehyun Choi, Tianqing Fang, Zhaowei Wang, Yangqiu Song

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

StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding.

Cheng Jiayang, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang

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

CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning.

Weiqi Wang, Tianqing Fang, Baixuan Xu, Chun Yi Louis Bo, Yangqiu Song, Lei Chen

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

COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective.

Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See

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

2022

Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization.

Mutian He, Tianqing Fang, Weiqi Wang, Yangqiu Song

CoRR, 2022

ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities.

Hongming Zhang, Xin Liu, Haojie Pan, Haowen Ke, Jiefu Ou, Tianqing Fang, Yangqiu Song

Artif. Intell., 2022

Weakly Supervised Text Classification using Supervision Signals from a Language Model.

Ziqian Zeng, Weimin Ni, Tianqing Fang, Xiang Li, Xinran Zhao, Yangqiu Song

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

SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller.

Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See

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

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation.

Ying Su, Zihao Wang, Tianqing Fang, Hongming Zhang, Yangqiu Song, Tong Zhang

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

PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population.

Tianqing Fang, Quyet V. Do, Hongming Zhang, Yangqiu Song, Ginny Y. Wong, Simon See

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

2021

DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge.

Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, Bin He

Proceedings of the WWW '21: The Web Conference 2021, 2021

Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset.

Tianqing Fang, Weiqi Wang, Sehyun Choi, Shibo Hao, Hongming Zhang, Yangqiu Song, Bin He

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Do Boat and Ocean Suggest Beach? Dialogue Summarization with External Knowledge.

Tianqing Fang, Haojie Pan, Hongming Zhang, Yangqiu Song, Kun Xu, Dong Yu

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Probing Toxic Content in Large Pre-Trained Language Models.

Nedjma Ousidhoum, Xinran Zhao, Tianqing Fang, Yangqiu Song, Dit-Yan Yeung

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