Junjie Wu

According to our database, Junjie Wu authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models.

Junjie Wu, Tsz Ting Chung, Kai Chen, Dit-Yan Yeung

Trans. Mach. Learn. Res., 2025

The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding.

Mo Yu, Lemao Liu, Junjie Wu, Tsz Ting Chung, Shunchi Zhang, Jiangnan Li, Dit-Yan Yeung, Jie Zhou

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task.

Junjie Wu, Mo Yu, Lemao Liu, Dit-Yan Yeung, Jie Zhou

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Ref-Long: Benchmarking the Long-context Referencing Capability of Long-context Language Models.

Junjie Wu, Gefei Gu, Yanan Zheng, Dit-Yan Yeung, Arman Cohan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Rethinking Targeted Adversarial Attacks for Neural Machine Translation.

Junjie Wu, Lemao Liu, Wei Bi, Dit-Yan Yeung

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification.

Junjie Wu, Dit-Yan Yeung

CoRR, 2023

Towards General Error Diagnosis via Behavioral Testing in Machine Translation.

Junjie Wu, Lemao Liu, Dit-Yan Yeung

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

2021

Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations.

Jiajun Bao, Junjie Wu, Yiming Zhang, Eshwar Chandrasekharan, David Jurgens

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

Augmenting Topic Aware Knowledge-Grounded Conversations with Dynamic Built Knowledge Graphs.

Junjie Wu, Hao Zhou

Proceedings of Deep Learning Inside Out: The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2021