Tianhao Shen

According to our database, Tianhao Shen authored at least 17 papers between 2015 and 2024.

Collaborative distances:

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

2024

ChatMusician: Understanding and Generating Music Intrinsically with LLM.

Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Ziyang Ma, Liumeng Xue, Ziyu Wang, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Pengfei Li, Jingcheng Wu, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Emmanouil Benetos, Jie Fu, Gus Xia, Roger B. Dannenberg, Wei Xue, Shiyin Kang, Yike Guo

CoRR, 2024

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement.

Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue

CoRR, 2024

2023

A DVFS Design and Simulation Framework Using Machine Learning Models.

Cheng Zhuo, Di Gao, Yuan Cao, Tianhao Shen, Li Zhang, Jinfang Zhou, Xunzhao Yin

IEEE Des. Test, February, 2023

RoleEval: A Bilingual Role Evaluation Benchmark for Large Language Models.

Tianhao Shen, Sun Li, Deyi Xiong

CoRR, 2023

Large Language Model Alignment: A Survey.

Tianhao Shen, Renren Jin, Yufei Huang, Chuang Liu, Weilong Dong, Zishan Guo, Xinwei Wu, Yan Liu, Deyi Xiong

CoRR, 2023

X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents.

Mehrad Moradshahi, Tianhao Shen, Kalika Bali, Monojit Choudhury, Gaël de Chalendar, Anmol Goel, Sungkyun Kim, Prashant Kodali, Ponnurangam Kumaraguru, Nasredine Semmar, Sina J. Semnani, Jiwon Seo, Vivek Seshadri, Manish Shrivastava, Michael Sun, Aditya Yadavalli, Chaobin You, Deyi Xiong, Monica S. Lam

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

2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou

CoRR, 2022

COVID-19 Epidemic Forecast using Machine Learning Regression Techniques.

Merin Joseph, Kanika Sood, Tianhao Shen

Proceedings of the International Conference on Smart Applications, 2022

Recovering Gold from Black Sand: Multilingual Dense Passage Retrieval with Hard and False Negative Samples.

Tianhao Shen, Mingtong Liu, Ming Zhou, Deyi Xiong

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining.

Boliang Zhang, Ying Lyu, Ning Ding, Tianhao Shen, Zhaoyang Jia, Kun Han, Kevin Knight

CoRR, 2021

A Physical-Aware Framework for Memory Network Design Space Exploration.

Tianhao Shen, Di Gao, Li Zhang, Jishen Zhao, Cheng Zhuo

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

Joint deep learning of angular loss and hard sample mining for person re-identification.

Yuanyuan Wang, Zhijian Wang, Ming-Xin Jiang, Liqi Chen, Tianhao Shen, Wenyang Zhang

J. Intell. Fuzzy Syst., 2020

An Efficient and Flexible Learning Framework for Dynamic Power and Thermal Co-Management.

Yuan Cao, Tianhao Shen, Li Zhang, Xunzhao Yin, Cheng Zhuo

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

Multi-Domain Dialogue State Tracking with Hierarchical Task Graph.

Tianhao Shen, Xiaojie Wang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Power Delivery Resonant Virus: Concept and Applications.

Tianhao Shen, Di Gao, Yiyu Shi, Cheng Zhuo

Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

2018

A design framework for processing-in-memory accelerator.

Di Gao, Tianhao Shen, Cheng Zhuo

Proceedings of the 20th System Level Interconnect Prediction Workshop, 2018

2015

Saliency detection based on MI-KSVD.

Tianhao Shen, Jinqing Qi

Proceedings of the IEEE 7th International Conference on Awareness Science and Technology, 2015