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Chen Lin

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Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models

Mar 18, 2024
Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong

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LOCR: Location-Guided Transformer for Optical Character Recognition

Mar 04, 2024
Yu Sun, Dongzhan Zhou, Chen Lin, Conghui He, Wanli Ouyang, Han-Sen Zhong

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Self-consistent Validation for Machine Learning Electronic Structure

Feb 15, 2024
Gengyuan Hu, Gengchen Wei, Zekun Lou, Philip H. S. Torr, Wanli Ouyang, Han-sen Zhong, Chen Lin

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Revealing Decurve Flows for Generalized Graph Propagation

Feb 13, 2024
Chen Lin, Liheng Ma, Yiyang Chen, Wanli Ouyang, Michael M. Bronstein, Philip H. S. Torr

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Competition-Level Problems are Effective LLM Evaluators

Dec 05, 2023
Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen

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GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training

Nov 22, 2023
Yang Li, Qi'ao Zhao, Chen Lin, Zhenjie Zhang, Xiaomin Zhu

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SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

Nov 13, 2023
Ziyi Lin, Chris Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Chen Lin, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Hongsheng Li, Yu Qiao

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A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback

Oct 03, 2023
Jianghong Zhou, Joyce C. Ho, Chen Lin, Eugene Agichtein

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Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph

Jul 15, 2023
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, Jian Guo

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Graph Inductive Biases in Transformers without Message Passing

May 27, 2023
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim

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