UTD-CRSS Submission for MGB-3 Arabic Dialect Identification: Front-end and Back-end Advancements on Broadcast Speech (2017 · 12 citations)
The paper presents UTD-CRSS's submission for the ADI (Arabic Dialect Identification) subtask within the MGB-3 challenge.
Specializing Large Models for Oracle Bone Script Interpretation via Component-Grounded Multimodal Knowledge Augmentation (2026 · 1 citation)
Most AI work on Oracle Bone Script (OBS) treats decipherment as closed-set image classification. That approach cannot handle rare or unseen glyphs, and general Vision-Language Models (VLMs) tend to hallucinate in this low-resource domain. The authors instead treat interpretation as reasoning over a character's parts.…
CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models (2026)
Benchmarks that test Theory of Mind (ToM) in LLMs mostly rely on false-belief stories. This narrow focus covers only a small part of what developmental psychology studies. CogToM addresses the gap by converting 46 established and newly designed psychological paradigms into scene-based multiple-choice items in Chinese…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

UTD-CRSS Submission for MGB-3 Arabic Dialect Identification: Front-end and Back-end Advancements on Broadcast SpeechIEEE Automatic Speech Recognition and Understanding Workshop (ASRU)Ahmet E. Bulut, Qian Zhang, Chunlei Zhang, et al.2017 · 12 citations
Specializing Large Models for Oracle Bone Script Interpretation via Component-Grounded Multimodal Knowledge AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jianing Zhang, Runan Li, Honglin Pang, et al.2026 · 1 citation
CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haibo Tong, Zeyang Yue, Feifei Zhao, et al.2026
Editing the Moving World: Model Editing for Video LLMs ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetQian Zhang et al.2026

Co-authors here

2 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated 1 November 2026