Long T. Le

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 16

Top Topics

Community Question Answering

Top Venues

Publications

I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. CoRR (2024)
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
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. CoRR (2024)
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
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization. CoRR (2024)
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
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. ACL (Findings) (2024)
Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister
CodecLM: Aligning Language Models with Tailored Synthetic Data. CoRR (2024)
I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. ACL (Findings) (2024)
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
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. npj Digit. Medicine 4 (2021)
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
Interpretable Sequence Learning for COVID-19 Forecasting. CoRR (2020)
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
Interpretable Sequence Learning for Covid-19 Forecasting. NeurIPS (2020)
Long T. Le, Chirag Shah, Erik Choi
Assessing the quality of answers autonomously in community question-answering. Int. J. Digit. Libr. 20 (4) (2019)
Long T. Le, Chirag Shah
Retrieving people: Identifying potential answerers in Community Question-Answering. J. Assoc. Inf. Sci. Technol. 69 (10) (2018)
Long T. Le, Chirag Shah, Erik Choi
Bad Users or Bad Content?: Breaking the Vicious Cycle by Finding Struggling Students in Community Question-Answering. CHIIR (2017)
Manasa Rath, Long T. Le, Chirag Shah
Discerning the Quality of Questions in Educational Q&Ausing Textual Features. CHIIR (2017)
Long T. Le, Chirag Shah, Erik Choi
Evaluating the Quality of Educational Answers in Community Question-Answering. JCDL (2016)
Long T. Le, Chirag Shah
Retrieving Rising Stars in Focused Community Question-Answering. ACIIDS (2) (2016)
Long T. Le, Tina Eliassi-Rad, Hanghang Tong
MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. SDM (2015)
Long T. Le, Tina Eliassi-Rad, Foster J. Provost, Lauren Moores
Hyperlocal: inferring location of IP addresses in real-time bid requests for mobile ads. LBSN (2013)