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Wei Bi
Publications
- 2024
- [i49]Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Zhenguo Li, Wei Bi, Lingpeng Kong:
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models. CoRR abs/2402.07754 (2024) - [i48]Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong:
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. CoRR abs/2402.13577 (2024) - [i45]Qintong Li, Leyang Cui, Xueliang Zhao, Lingpeng Kong, Wei Bi:
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers. CoRR abs/2402.19255 (2024) - 2023
- [c66]Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi:
Explanation Regeneration via Information Bottleneck. ACL (Findings) 2023: 12081-12102 - [i33]Xueliang Zhao, Xinting Huang, Wei Bi, Lingpeng Kong:
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving. CoRR abs/2310.12960 (2023) - [i30]Qintong Li, Leyang Cui, Lingpeng Kong, Wei Bi:
Collaborative Evaluation: Exploring the Synergy of Large Language Models and Humans for Open-ended Generation Evaluation. CoRR abs/2310.19740 (2023) - 2022
- [c58]Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong:
Event Transition Planning for Open-ended Text Generation. ACL (Findings) 2022: 3412-3426 - [c57]Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao:
Lexical Knowledge Internalization for Neural Dialog Generation. ACL (1) 2022: 7945-7958 - [i28]Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong:
Event Transition Planning for Open-ended Text Generation. CoRR abs/2204.09453 (2022) - [i26]Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao:
Lexical Knowledge Internalization for Neural Dialog Generation. CoRR abs/2205.01941 (2022) - [i22]Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi:
Explanation Regeneration via Information Bottleneck. CoRR abs/2212.09603 (2022) - 2021
- [c51]Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao:
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. ACL/IJCNLP (1) 2021: 6153-6166 - [i19]Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao:
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. CoRR abs/2105.14462 (2021)
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last updated on 2024-03-27 20:27 CET by the dblp team
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