Weiqi Wang
Orcid: 0000-0002-1617-9805Affiliations:
- Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
According to our database1,
Weiqi Wang
authored at least 36 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on github.com
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Bibliography
2024
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions.
CoRR, 2024
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding.
CoRR, 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.
CoRR, 2024
MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset.
CoRR, 2024
CoRR, 2024
Artif. Intell., 2024
KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
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
Proceedings of the Eighth Conference on Machine Translation, 2023
Proceedings of the Eighth Conference on Machine Translation, 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
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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
Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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
Proceedings of the 10th Workshop on Argument Mining, 2023
FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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
FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense.
CoRR, 2022
CoRR, 2022
2021
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