Tianle Li

According to our database, Tianle Li authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Parameter Calibration of Social Force Model for Pedestrian Flow Simulation Based on YOLOv5.

Tianle Li, Bingbing Xu, Weike Lu, Zidan Chen, Sizheng Zhang, Fanjun Xia

Sensors, August, 2024

Gaussian distribution resampling via Chebyshev distance for food computing.

Tianle Li, Enguang Zuo, Chen Chen, Cheng Chen, Jie Zhong, Junyi Yan, Xiaoyi Lv

Appl. Soft Comput., January, 2024

Project MPG: towards a generalized performance benchmark for LLM capabilities.

Lucas Spangher, Tianle Li, William F. Arnold, Nick Masiewicki, Xerxes Dotiwalla, Rama Parusmathi, Peter Grabowski, Eugene Ie, Dan Gruhl

CoRR, 2024

How to Evaluate Reward Models for RLHF.

Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios N. Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica

CoRR, 2024

Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development.

Tengfei Ma, Xuan Lin, Tianle Li, Chaoyi Li, Long Chen, Peng Zhou, Xibao Cai, Xinyu Yang, Daojian Zeng, Dong-Sheng Cao, Xiangxiang Zeng

CoRR, 2024

From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica

CoRR, 2024

GenAI Arena: An Open Evaluation Platform for Generative Models.

Dongfu Jiang, Max Ku, Tianle Li, Yuansheng Ni, Shizhuo Sun, Rongqi Fan, Wenhu Chen

CoRR, 2024

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen

CoRR, 2024

Long-context LLMs Struggle with Long In-context Learning.

Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, Wenhu Chen

CoRR, 2024

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ImagenHub: Standardizing the evaluation of conditional image generation models.

Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SWAG: Storytelling With Action Guidance.

Jonathan Pei, Zeeshan Patel, Karim El-Refai, Tianle Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Feature Fusion for Multi-Condition Controllable Image Generation.

Pengfei Zhao, Sheng Lin, Ziqing Li, Tianle Li

Proceedings of the 2024 8th International Conference on Big Data and Internet of Things, 2024

2023

Function2vec: A Geographic Knowledge Graph Model of Urban Function Evolution and Its Application.

Tianle Li, Minrui Zheng, Xiaoli Wang, Xinqi Zheng

ISPRS Int. J. Geo Inf., November, 2023

DreamEdit: Subject-driven Image Editing.

Tianle Li, Max Ku, Cong Wei, Wenhu Chen

Trans. Mach. Learn. Res., 2023

A Masked Attention Network with Query Sparsity Measurement for Time Series Anomaly Detection.

Jie Zhong, Enguang Zuo, Chen Chen, Cheng Chen, Junyi Yan, Tianle Li, Xiaoyi Lv

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Rethinking graph anomaly detection: A self-supervised Group Discrimination paradigm with Structure-Aware.

Junyi Yan, Enguang Zuo, Chen Chen, Cheng Chen, Jie Zhong, Tianle Li, Xiaoyi Lv

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Few-shot In-context Learning on Knowledge Base Question Answering.

Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks.

Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information.

Xinyi He, Mengyu Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang

CoRR, 2022

ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization.

Lingbo Li, Tianle Li, Xinyi He, Mengyu Zhou, Shi Han, Dongmei Zhang

CoRR, 2022

A Simple Yet Efficient Method for Adversarial Word-Substitute Attack.

Tianle Li, Yi Yang

CoRR, 2022

Fake News Detection with Heterogeneous Transformer.

Tianle Li, Yushi Sun, Shang-Ling Hsu, Yanjia Li, Raymond Chi-Wing Wong

CoRR, 2022

2019

A Multi-Stage Model for the Electromagnetic Shielding Effectiveness Prediction of an Infinite Conductor Plane With Periodic Apertures.

Wanxin Bai, Anqi Guo, Tianle Li, Ruiqi Cheng, Chongqing Jiao

IEEE Access, 2019