Long T. Le

According to our database, Long T. Le authored at least 30 papers between 2013 and 2026.

Collaborative distances:

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

2026

LiSA: Lifelong Safety Adaptation via Conservative Policy Induction.

Minbeom Kim, Lesly Miculicich, Bhavana Dalvi Mishra, Mihir Parmar, Phillip Wallis, Bharath Chandrasekhar, Kyomin Jung, Tomas Pfister, Long T. Le

CoRR, May, 2026

RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards.

Gaotang Li, Bhavana Dalvi Mishra, Zifeng Wang, Jun Yan, Yanfei Chen, Chun-Liang Li, Long T. Le, Rujun Han, George Lee, Hanghang Tong, Chen-Yu Lee, Tomas Pfister

CoRR, May, 2026

A²RD: Agentic Autoregressive Diffusion for Long Video Consistency.

Do Xuan Long, Yale Song, Min-Yen Kan, Tomas Pfister, Long T. Le

CoRR, May, 2026

PolicyBank: Evolving Policy Understanding for LLM Agents.

Jihye Choi, Jinsung Yoon, Long T. Le, Somesh Jha, Tomas Pfister

CoRR, April, 2026

TFRBench: A Reasoning Benchmark for Evaluating Forecasting Systems.

Md. Atik Ahamed, Mihir Parmar, Palash Goyal, Yiwen Song, Long T. Le, Qiang Cheng, Chun-Liang Li, Hamid Palangi, Jinsung Yoon, Tomas Pfister

CoRR, April, 2026

CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution.

Minbeom Kim, Mihir Parmar, Phillip Wallis, Lesly Miculicich, Kyomin Jung, Krishnamurthy Dj Dvijotham, Long T. Le, Tomas Pfister

CoRR, February, 2026

Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents.

Pengfei He, Ash Fox, Lesly Miculicich, Stefan Friedli, Daniel Fabian, Burak Gokturk, Jiliang Tang, Chen-Yu Lee, Tomas Pfister, Long T. Le

CoRR, February, 2026

Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models.

Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Yiwen Song, Long T. Le, Lesly Miculicich, Jinsung Yoon, Rui Zhang, Hamid Palangi, Tomas Pfister

Trans. Mach. Learn. Res., 2026

2025

VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation.

Lesly Miculicich, Mihir Parmar, Hamid Palangi, Krishnamurthy Dj Dvijotham, Mirko Montanari, Tomas Pfister, Long T. Le

CoRR, October, 2025

ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory.

Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long T. Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister

CoRR, September, 2025

Reverse Thinking Makes LLMs Stronger Reasoners.

Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long T. Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 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, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation.

Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents.

Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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