Zhaowei Wang

Affiliations:
  • Hong Kong University of Science and Technology (HKUST), Kowloon, Hong Kong
  • Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China (former)


According to our database1, Zhaowei Wang authored at least 27 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
LLMs are Frequency Pattern Learners in Natural Language Inference.
CoRR, May, 2025

S2LPP: Small-to-Large Prompt Prediction across LLMs.
CoRR, May, 2025

MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly.
CoRR, May, 2025

Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Neutralizing Bias in LLM Reasoning using Entailment Graphs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
What Really is Commonsense Knowledge?
CoRR, 2024

DivScene: Benchmarking LVLMs for Object Navigation with Diverse Scenes and Objects.
CoRR, 2024

RoomDiffusion: A Specialized Diffusion Model in the Interior Design Industry.
CoRR, 2024

CodeGraph: Enhancing Graph Reasoning of LLMs with Code.
CoRR, 2024

KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument Mining.
CoRR, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
CoRR, 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

Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 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

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation.
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.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
KnowComp Submission for WMT23 Sign Language Translation Task.
Proceedings of the Eighth Conference on Machine Translation, 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

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

TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining.
Proceedings of the 10th Workshop on Argument Mining, 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
Legal Element-oriented Modeling with Multi-view Contrastive Learning for Legal Case Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2022

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

2020
Bug severity prediction using question-and-answer pairs from Stack Overflow.
J. Syst. Softw., 2020

Practical and White-Box Anomaly Detection through Unsupervised and Active Learning.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020


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