Search Results for author: Yuanhang Zhou

Found 8 papers, 6 papers with code

OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?

1 code implementation9 Jan 2025 Yifei Li, Junbo Niu, Ziyang Miao, Chunjiang Ge, Yuanhang Zhou, Qihao He, Xiaoyi Dong, Haodong Duan, Shuangrui Ding, Rui Qian, Pan Zhang, Yuhang Zang, Yuhang Cao, Conghui He, Jiaqi Wang

OVO-Bench evaluates the ability of video LLMs to reason and respond to events occurring at specific timestamps under three distinct scenarios: (1) Backward tracing: trace back to past events to answer the question.

Benchmarking Video Understanding

ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation

no code implementations2 Jul 2024 Chaoqun Hou, Yuanhang Zhou, Yi Cao, Tong Liu

Second, we propose an adaptive knowledge distillation method for continually transferring the representations from a model that is well-trained on the entire space dataset.

Domain Adaptation Knowledge Distillation +2

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding

1 code implementation13 Jun 2022 Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen

Considering the complex nature of mathematical texts, we design a novel curriculum pre-training approach for improving the learning of mathematical PLMs, consisting of both basic and advanced courses.

Language Modeling Language Modelling +1

C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System

1 code implementation4 Jan 2022 Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu

To implement this framework, we design both coarse-grained and fine-grained procedures for modeling user preference, where the former focuses on more general, coarse-grained semantic fusion and the latter focuses on more specific, fine-grained semantic fusion.

Contrastive Learning Recommendation Systems +2

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