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Tianhua Tao
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2020 – today
- 2024
- [i8]Jiannan Xiang, Guangyi Liu, Yi Gu, Qiyue Gao, Yuting Ning, Yuheng Zha, Zeyu Feng, Tianhua Tao, Shibo Hao, Yemin Shi, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Pandora: Towards General World Model with Natural Language Actions and Video States. CoRR abs/2406.09455 (2024) - [i7]Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen:
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. CoRR abs/2406.20098 (2024) - [i6]Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng:
SciCode: A Research Coding Benchmark Curated by Scientists. CoRR abs/2407.13168 (2024) - 2023
- [c3]Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu:
Language Models Meet World Models: Embodied Experiences Enhance Language Models. NeurIPS 2023 - [i5]Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu:
Language Models Meet World Models: Embodied Experiences Enhance Language Models. CoRR abs/2305.10626 (2023) - [i4]Zhiqiang Shen, Tianhua Tao, Liqun Ma, Willie Neiswanger, Zhengzhong Liu, Hongyi Wang, Bowen Tan, Joel Hestness, Natalia Vassilieva, Daria Soboleva, Eric P. Xing:
SlimPajama-DC: Understanding Data Combinations for LLM Training. CoRR abs/2309.10818 (2023) - [i3]Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Xuguang Ren, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Tim Baldwin, Eric P. Xing:
LLM360: Towards Fully Transparent Open-Source LLMs. CoRR abs/2312.06550 (2023) - 2022
- [c2]Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang:
On the Learning of Non-Autoregressive Transformers. ICML 2022: 9356-9376 - [c1]Guangyi Liu
, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu:
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. NAACL-HLT 2022: 2055-2078 - [i2]Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang:
On the Learning of Non-Autoregressive Transformers. CoRR abs/2206.05975 (2022) - 2021
- [i1]Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Zhen Li, Bowen Zhou, Shuguang Cui, Zhiting Hu:
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. CoRR abs/2106.15078 (2021)
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