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20212026
most citedDo LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Models

7 citations · 15 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Decoupled Sensitivity-Consistency Learning for Weakly Supervised Video Anomaly Detection

Hantao Zheng, Ning Han, Yawen Zeng +1

Recent weakly supervised video anomaly detection methods have achieved significant advances by employing unified frameworks for joint optimization. However, this paradigm is limite…

cs.CV2023★ 2 cited

Multi-Prompts Learning with Cross-Modal Alignment for Attribute-based Person Re-Identification

Yajing Zhai, Yawen Zeng, Zhiyong Huang +3

The fine-grained attribute descriptions can significantly supplement the valuable semantic information for person image, which is vital to the success of person re-identification (…

cs.CL2023★ 7 cited

Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Models

Keyu Pan, Yawen Zeng

The field of large language models (LLMs) has made significant progress, and their knowledge storage capacity is approaching that of human beings. Furthermore, advanced techniques,…

cs.CL2023

Better Sign Language Translation with Monolingual Data

Ru Peng, Yawen Zeng, Junbo Zhao

Sign language translation (SLT) systems, which are often decomposed into video-to-gloss (V2G) recognition and gloss-to-text (G2T) translation through the pivot gloss, heavily relie…

cs.CL2022★ 2 cited

Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation

Ru Peng, Yawen Zeng, Junbo Zhao

Past works on multimodal machine translation (MMT) elevate bilingual setup by incorporating additional aligned vision information. However, an image-must requirement of the multimo…

cs.CV2021★ 4 cited

BiC-Net: Learning Efficient Spatio-Temporal Relation for Text-Video Retrieval

Ning Han, Jingjing Chen, Chuhao Shi +3

The task of text-video retrieval aims to understand the correspondence between language and vision, has gained increasing attention in recent years. Previous studies either adopt o…