no code implementations • 7 Mar 2024 • Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael Jordan, Joseph E. Gonzalez, Ion Stoica
To address this issue, we introduce Chatbot Arena, an open platform for evaluating LLMs based on human preferences.
no code implementations • 5 Feb 2024 • Zeeshan Patel, Karim El-Refai, Jonathan Pei, Tianle Li
Automated long-form story generation typically employs long-context large language models (LLMs) for one-shot creation, which can produce cohesive but not necessarily engaging content.
2 code implementations • 2 Oct 2023 • Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen
Recently, a myriad of conditional image generation and editing models have been developed to serve different downstream tasks, including text-to-image generation, text-guided image editing, subject-driven image generation, control-guided image generation, etc.
1 code implementation • 21 Sep 2023 • Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
Studying how people interact with large language models (LLMs) in real-world scenarios is increasingly important due to their widespread use in various applications.
no code implementations • 22 Jun 2023 • Tianle Li, Max Ku, Cong Wei, Wenhu Chen
In this work, we aspire to fill the void and propose two novel subject-driven sub-tasks, i. e., Subject Replacement and Subject Addition.
1 code implementation • 2 May 2023 • Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen
On GrailQA and WebQSP, our model is also on par with other fully-trained models.
no code implementations • 2 Sep 2022 • Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian yuan, Dongmei Zhang
Tabular data analysis is performed every day across various domains.
no code implementations • 1 Aug 2022 • Lingbo Li, Tianle Li, Xinyi He, Mengyu Zhou, Shi Han, Dongmei Zhang
ASTA framework extracts data features by designing signatures based on expert knowledge, and enables data referencing at field- (chart) or cell-level (conditional formatting) with pre-trained models.
no code implementations • 7 May 2022 • Tianle Li, Yi Yang
This research highlights that an adversary can fool a deep NLP model with much less cost.
1 code implementation • 6 May 2022 • Tianle Li, Yushi Sun, Shang-Ling Hsu, Yanjia Li, Raymond Chi-Wing Wong
The heterogeneity in both news content and the relationship with other entities in social networks brings challenges to designing a model that comprehensively captures the local multi-modal semantics of entities in social networks and the global structural representation of the propagation patterns, so as to classify fake news effectively and accurately.