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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 - [i6]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) - [i5]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) - [i4]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) - [i3]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) - [i2]Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister:
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling. CoRR abs/2410.11325 (2024) - 2021
- [j3]Sercan Ö. Arik
, Joel Shor, Rajarishi Sinha
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
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
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
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 2024-12-16 22:24 CET by the dblp team
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