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 (LBSN, 2013)

MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. - Long T. Le; Tina Eliassi-Rad; Hanghang Tong (SDM, 2015)

Retrieving Rising Stars in Focused Community Question-Answering. - Long T. Le; Chirag Shah 001 (ACIIDS (2), 2016)

Evaluating the Quality of Educational Answers in Community Question-Answering. - Long T. Le; Chirag Shah 001; Erik Choi (JCDL, 2016)

Bad Users or Bad Content?: Breaking the Vicious Cycle by Finding Struggling Students in Community Question-Answering. - Long T. Le; Chirag Shah 001; Erik Choi (CHIIR, 2017)

Discerning the Quality of Questions in Educational Q&Ausing Textual Features. - Manasa Rath; Long T. Le; Chirag Shah 001 (CHIIR, 2017)

Retrieving people: Identifying potential answerers in Community Question-Answering. - Long T. Le; Chirag Shah 001 (J. Assoc. Inf. Sci. Technol., 2018)

Assessing the quality of answers autonomously in community question-answering. - Long T. Le; Chirag Shah 001; Erik Choi (Int. J. Digit. Libr., 2019)

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 005; Leyou Zhang; Martin Nikoltchev; Yash Sonthalia; Hootan Nakhost; et al. (NeurIPS, 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 005; Leyou Zhang; Nate Yoder; Martin Nikoltchev; Yash Sonthalia; et al. (CoRR, 2020)

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; et al. (npj Digit. Medicine, 2021)

Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. - Cheng-Yu Hsieh; Yung-Sung Chuang; Chun-Liang Li; Zifeng Wang 002; Long T. Le; Abhishek Kumar; James R. Glass; Alexander Ratner; Chen-Yu Lee; Ranjay Krishna; Tomas Pfister (ACL (Findings), 2024)

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. - I-Hung Hsu; Zifeng Wang 002; Long T. Le; Lesly Miculicich; Nanyun Peng 001; Chen-Yu Lee; Tomas Pfister (ACL (Findings), 2024)

CodecLM: Aligning Language Models with Tailored Synthetic Data. - Zifeng Wang 002; Chun-Liang Li; Vincent Perot; Long T. Le; Jin Miao; Zizhao Zhang; Chen-Yu Lee; Tomas Pfister (NAACL-HLT (Findings), 2024)

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. - Zhen Tan 001; Jun Yan; I-Hung Hsu; Rujun Han; Zifeng Wang 002; Long T. Le; Yiwen Song; Yanfei Chen; Hamid Palangi; George Lee; Anand Rajan Iyer; Tianlong Chen 001; et al. (ACL (1), 2025)

Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. - Fan Yin; Zifeng Wang 002; I-Hung Hsu; Jun Yan; Ke Jiang; Yanfei Chen; Jindong Gu; Long T. Le; Kai-Wei Chang; Chen-Yu Lee; Hamid Palangi; Tomas Pfister (ACL (1), 2025)

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. - Zilong Wang 002; Zifeng Wang 002; Long T. Le; Huaixiu Steven Zheng; Swaroop Mishra; Vincent Perot; Yuwei Zhang 001; Anush Mattapalli; Ankur Taly; Jingbo Shang; Chen-Yu Lee; Tomas Pfister (ICLR, 2025)

Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling. - Wenda Xu; Rujun Han; Zifeng Wang 002; Long T. Le; Dhruv Madeka; Lei Li 005; William Yang Wang; Rishabh Agarwal; Chen-Yu Lee; Tomas Pfister (ICLR, 2025)

Reverse Thinking Makes LLMs Stronger Reasoners. - Justin Chih-Yao Chen; Zifeng Wang 002; Hamid Palangi; Rujun Han; Sayna Ebrahimi; Long T. Le; Vincent Perot; Swaroop Mishra; Mohit Bansal; Chen-Yu Lee; Tomas Pfister (NAACL (Long Papers), 2025)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving. - Mihir Parmar; Xin Liu; Palash Goyal; Yanfei Chen; Long T. Le; Swaroop Mishra; Hossein Mobahi; Jindong Gu; Zifeng Wang 002; Hootan Nakhost; Chitta Baral; Chen-Yu Lee; et al. (CoRR, 2025)