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Publication search results
found 485 matches
- 2024
- Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li:
Learning to Rank in Generative Retrieval. AAAI 2024: 8716-8723 - Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang:
Text Diffusion with Reinforced Conditioning. AAAI 2024: 14069-14077 - Hongyuan Lu, Haoyang Huang, Dongdong Zhang, Furu Wei, Wai Lam:
Revamping Multilingual Agreement Bidirectionally via Switched Back-translation for Multilingual Neural Machine Translation. EACL (Findings) 2024: 264-275 - Liang Wang, Nan Yang, Furu Wei:
Learning to Retrieve In-Context Examples for Large Language Models. EACL (1) 2024: 1752-1767 - Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei:
Language Models as Inductive Reasoners. EACL (1) 2024: 209-225 - Hongkun Hao, Long Zhou, Shujie Liu, Jinyu Li, Shujie Hu, Rui Wang, Furu Wei:
Boosting Large Language Model for Speech Synthesis: An Empirical Study. CoRR abs/2401.00246 (2024) - Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei:
Improving Text Embeddings with Large Language Models. CoRR abs/2401.00368 (2024) - Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang:
Improving Domain Adaptation through Extended-Text Reading Comprehension. CoRR abs/2401.07284 (2024) - Yadong Zhang, Shaoguang Mao, Tao Ge, Xun Wang, Yan Xia, Man Lan, Furu Wei:
K-Level Reasoning with Large Language Models. CoRR abs/2402.01521 (2024) - Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei:
Multilingual E5 Text Embeddings: A Technical Report. CoRR abs/2402.05672 (2024) - Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela:
Generative Representational Instruction Tuning. CoRR abs/2402.09906 (2024) - Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei:
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. CoRR abs/2402.13064 (2024) - Haoyu Liu, Jianfeng Liu, Shaohan Huang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Furu Wei, Qi Zhang:
Se2: Sequential Example Selection for In-Context Learning. CoRR abs/2402.13874 (2024) - Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang:
Text Diffusion with Reinforced Conditioning. CoRR abs/2402.14843 (2024) - Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang:
HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition. CoRR abs/2402.15754 (2024) - Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen:
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models. CoRR abs/2402.16438 (2024) - Yuxian Gu, Li Dong, Yaru Hao, Qingxiu Dong, Minlie Huang, Furu Wei:
Towards Optimal Learning of Language Models. CoRR abs/2402.17759 (2024) - Shuming Ma, Hongyu Wang, Lingxiao Ma, Lei Wang, Wenhui Wang, Shaohan Huang, Li Dong, Ruiping Wang, Jilong Xue, Furu Wei:
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits. CoRR abs/2402.17764 (2024) - Shuhua Shi, Shaohan Huang, Minghui Song, Zhoujun Li, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang:
ResLoRA: Identity Residual Mapping in Low-Rank Adaption. CoRR abs/2402.18039 (2024) - Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei:
MathScale: Scaling Instruction Tuning for Mathematical Reasoning. CoRR abs/2403.02884 (2024) - 2023
- Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li:
Generative retrieval for conversational question answering. Inf. Process. Manag. 60(5): 103475 (2023) - Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei:
Large Search Model: Redefining Search Stack in the Era of LLMs. SIGIR Forum 57(2): 23:1-23:16 (2023) - Jian Yang, Yuwei Yin, Liqun Yang, Shuming Ma, Haoyang Huang, Dongdong Zhang, Furu Wei, Zhoujun Li:
GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1489-1498 (2023) - Zhiliang Peng, Li Dong, Hangbo Bao, Furu Wei, Qixiang Ye:
A Unified View of Masked Image Modeling. Trans. Mach. Learn. Res. 2023 (2023) - Minghao Li, Tengchao Lv, Jingye Chen, Lei Cui, Yijuan Lu, Dinei A. F. Florêncio, Cha Zhang, Zhoujun Li, Furu Wei:
TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models. AAAI 2023: 13094-13102 - Yuan Xie, Shaohan Huang, Tianyu Chen, Furu Wei:
MoEC: Mixture of Expert Clusters. AAAI 2023: 13807-13815 - Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li:
Multiview Identifiers Enhanced Generative Retrieval. ACL (1) 2023: 6636-6648 - Beiduo Chen, Shaohan Huang, Zihan Zhang, Wu Guo, Zhenhua Ling, Haizhen Huang, Furu Wei, Weiwei Deng, Qi Zhang:
Pre-training Language Model as a Multi-perspective Course Learner. ACL (Findings) 2023: 114-128 - Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang:
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation. ACL (Findings) 2023: 9542-9558 - Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, Furu Wei:
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. ACL (Findings) 2023: 4005-4019
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