Tianqing Fang

Orcid: 0000-0002-0186-8253

According to our database1, Tianqing Fang authored at least 32 papers between 2021 and 2024.

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Bibliography

2024
: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.
IEEE Trans. Vis. Comput. Graph., January, 2024

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs.
CoRR, 2024

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation.
CoRR, 2024

EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion.
CoRR, 2024

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning.
CoRR, 2024

On-the-fly Denoising for Data Augmentation in Natural Language Understanding.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph.
CoRR, 2023

Neuro-Inspired Hierarchical Multimodal Learning.
CoRR, 2023

CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.
CoRR, 2023

Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning.
CoRR, 2023

ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.
CoRR, 2023

CKBP v2: An Expert-Annotated Evaluation Set for Commonsense Knowledge Base Population.
CoRR, 2023

KnowComp at SemEval-2023 Task 7: Fine-tuning Pre-trained Language Models for Clinical Trial Entailment Identification.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Doolittle: Benchmarks and Corpora for Academic Writing Formalization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning.
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.
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.
CoRR, 2022

ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities.
Artif. Intell., 2022

Weakly Supervised Text Classification using Supervision Signals from a Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Do Boat and Ocean Suggest Beach? Dialogue Summarization with External Knowledge.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Probing Toxic Content in Large Pre-Trained Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021


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