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1

Correspondence Transformers with Asymmetric Feature Learnin..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Sun, Yixuan ; Zhao, Dongyang ; Yin, Zhangyue... - p. 17787-17796 , 2023

Link: https://doi.org/10.1109/..

2

An anchor-guided sequence labeling model for event detectio..:

Kan, Zhigang ; Shi, Yanqi ; Yin, Zhangyue...
Information Sciences. 649 (2023) - p. 119652 , 2023

Link: https://doi.org/10.1016/..

3

Rethinking Label Smoothing on Multi-Hop Question Answering:

, In: Lecture Notes in Computer Science; Chinese Computational Linguistics,

Yin, Zhangyue ; Wang, Yuxin ; Hu, Xiannian... - p. 72-87 , 2023

Link: https://doi.org/10.1007/..

4

A Composable Generative Framework Based on Prompt Learning ..:

Kan, Zhigang ; Feng, Linhui ; Yin, Zhangyue...
IEEE Transactions on Big Data. 9 (2023) 4 - p. 1238-1251 , 2023

Link: https://doi.org/10.1109/..

5

Can AI Assistants Know What They Don't Know?:

Cheng, Qinyuan ; Sun, Tianxiang ; Liu, Xiangyang...
http://arxiv.org/abs/2401.13275. , 2024

Link: http://arxiv.org/abs/240..

6

The Rise and Potential of Large Language Model Based Agents..:

Xi, Zhiheng ; Chen, Wenxiang ; Guo, Xin...
http://arxiv.org/abs/2309.07864. , 2023

Link: http://arxiv.org/abs/230..

7

A Survey of Reasoning with Foundation Models:

Sun, Jiankai ; Zheng, Chuanyang ; Xie, Enze...
http://arxiv.org/abs/2312.11562. , 2023

Link: http://arxiv.org/abs/231..

8

Secrets of RLHF in Large Language Models Part I: PPO:

Zheng, Rui ; Dou, Shihan ; Gao, Songyang...
http://arxiv.org/abs/2307.04964. , 2023

Link: http://arxiv.org/abs/230..

9

Evaluating Hallucinations in Chinese Large Language Models:

Cheng, Qinyuan ; Sun, Tianxiang ; Zhang, Wenwei...
http://arxiv.org/abs/2310.03368. , 2023

Link: http://arxiv.org/abs/231..

10

Do Large Language Models Know What They Don't Know?:

Yin, Zhangyue ; Sun, Qiushi ; Guo, Qipeng...
http://arxiv.org/abs/2305.18153. , 2023

Link: http://arxiv.org/abs/230..

11

LLatrieval: LLM-Verified Retrieval for Verifiable Generatio:

Li, Xiaonan ; Zhu, Changtai ; Li, Linyang...
http://arxiv.org/abs/2311.07838. , 2023

Link: http://arxiv.org/abs/231..

12

Corex: Pushing the Boundaries of Complex Reasoning through ..:

Sun, Qiushi ; Yin, Zhangyue ; Li, Xiang...
http://arxiv.org/abs/2310.00280. , 2023

Link: http://arxiv.org/abs/231..

13

Exchange-of-Thought: Enhancing Large Language Model Capabil..:

Yin, Zhangyue ; Sun, Qiushi ; Chang, Cheng...
http://arxiv.org/abs/2312.01823. , 2023

Link: http://arxiv.org/abs/231..

14

What Dense Graph Do You Need for Self-Attention?:

Wang, Yuxin ; Lee, Chu-Tak ; Guo, Qipeng...
http://arxiv.org/abs/2205.14014. , 2022

Link: http://arxiv.org/abs/220..

15

A Unified Generative Framework based on Prompt Learning for..:

Kan, Zhigang ; Feng, Linhui ; Yin, Zhangyue...
http://arxiv.org/abs/2209.11570. , 2022

Link: http://arxiv.org/abs/220..

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