Long T. Le

According to our database, Long T. Le authored at least 16 papers between 2013 and 2024.

Collaborative distances:

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

2024

Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling.

Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister

CoRR, 2024

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.

Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

CoRR, 2024

CodecLM: Aligning Language Models with Tailored Synthetic Data.

Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister

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

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation.

I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister

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

Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization.

Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister

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

2021

A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan.

Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister

npj Digit. Medicine, 2021

2020

Interpretable Sequence Learning for COVID-19 Forecasting.

Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister

CoRR, 2020

Interpretable Sequence Learning for Covid-19 Forecasting.

Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Assessing the quality of answers autonomously in community question-answering.

Long T. Le, Chirag Shah, Erik Choi

Int. J. Digit. Libr., 2019

2018

Retrieving people: Identifying potential answerers in Community Question-Answering.

Long T. Le, Chirag Shah

J. Assoc. Inf. Sci. Technol., 2018

2017

Discerning the Quality of Questions in Educational Q&Ausing Textual Features.

Manasa Rath, Long T. Le, Chirag Shah

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, 2017

Bad Users or Bad Content?: Breaking the Vicious Cycle by Finding Struggling Students in Community Question-Answering.

Long T. Le, Chirag Shah, Erik Choi

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, 2017

2016

Evaluating the Quality of Educational Answers in Community Question-Answering.

Long T. Le, Chirag Shah, Erik Choi

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016

Retrieving Rising Stars in Focused Community Question-Answering.

Long T. Le, Chirag Shah

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015

MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps.

Long T. Le, Tina Eliassi-Rad, Hanghang Tong

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2013

Hyperlocal: inferring location of IP addresses in real-time bid requests for mobile ads.

Long T. Le, Tina Eliassi-Rad, Foster J. Provost, Lauren Moores

Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, 2013