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Long T. Le
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2020 – today
- 2024
- [c10]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: 12782-12803 - [c9]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: 14982-14995 - [c8]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. NAACL-HLT (Findings) 2024: 3712-3729 - [i5]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 abs/2404.05875 (2024) - [i4]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 abs/2406.05365 (2024) - [i3]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 abs/2406.16008 (2024) - [i2]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 abs/2407.08223 (2024) - 2021
- [j3]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) - 2020
- [c7]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 - [i1]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 abs/2008.00646 (2020)
2010 – 2019
- 2019
- [j2]Long T. Le, Chirag Shah, Erik Choi:
Assessing the quality of answers autonomously in community question-answering. Int. J. Digit. Libr. 20(4): 351-367 (2019) - 2018
- [j1]Long T. Le, Chirag Shah:
Retrieving people: Identifying potential answerers in Community Question-Answering. J. Assoc. Inf. Sci. Technol. 69(10): 1246-1258 (2018) - 2017
- [c6]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: 165-174 - [c5]Manasa Rath, Long T. Le, Chirag Shah:
Discerning the Quality of Questions in Educational Q&Ausing Textual Features. CHIIR 2017: 329-332 - 2016
- [c4]Long T. Le, Chirag Shah:
Retrieving Rising Stars in Focused Community Question-Answering. ACIIDS (2) 2016: 25-36 - [c3]Long T. Le, Chirag Shah, Erik Choi:
Evaluating the Quality of Educational Answers in Community Question-Answering. JCDL 2016: 129-138 - 2015
- [c2]Long T. Le, Tina Eliassi-Rad, Hanghang Tong:
MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. SDM 2015: 694-702 - 2013
- [c1]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: 24-33
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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