Xing Han Lù

According to our database, Xing Han Lù authored at least 23 papers between 2018 and 2026.

Collaborative distances:

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

2026

Structured Distillation of Web Agent Capabilities Enables Generalization.

Xing Han Lù, Siva Reddy

CoRR, April, 2026

CUBE: A Standard for Unifying Agent Benchmarks.

Alexandre Lacoste, Nicolas Gontier, Oleh Shliazhko, Aman Jaiswal, Kusha Sareen, Shailesh Nanisetty, Joan Cabezas, Manuel Del Verme, Omar G. Younis, Simone Baratta, Matteo Avalle, Imene Kerboua, Xing Han Lù, Elron Bandel, Michal Shmueli-Scheuer, Asaf Yehudai, Leshem Choshen, Jonathan Lebensold, Sean Hughes, Massimo Caccia, Alexandre Drouin, Siva Reddy, Tao Yu, Yu Su, Graham Neubig, Dawn Song

CoRR, March, 2026

DeepSeek-R1 Thoughtology: Let's think about LLM reasoning.

Sara Vera Marjanovic, Arkil Patel, Vaibhav Adlakha, Milad Aghajohari, Parishad BehnamGhader, Mehar Bhatia, Aditi Khandelwal, Austin Kraft, Benno Krojer, Xing Han Lù, Nicholas Meade, Dongchan Shin, Amirhossein Kazemnejad, Gaurav Kamath, Marius Mosbach, Karolina Stanczak, Siva Reddy

Trans. Mach. Learn. Res., 2026

2025

Grounding Computer Use Agents on Human Demonstrations.

Aarash Feizi, Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Kaixin Li, Rabiul Awal, Xing Han Lù, Johan Obando-Ceron, Juan A. Rodríguez, Nicolas Chapados, David Vázquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar

CoRR, November, 2025

FocusAgent: Simple Yet Effective Ways of Trimming the Large Context of Web Agents.

Imene Kerboua, Sahar Omidi Shayegan, Megh Thakkar, Xing Han Lù, Léo Boisvert, Massimo Caccia, Jérémy Espinas, Alexandre Aussem, Véronique Eglin, Alexandre Lacoste

CoRR, October, 2025

DRBench: A Realistic Benchmark for Enterprise Deep Research.

Amirhossein Abaskohi, Tianyi Chen, Miguel Muñoz-Mármol, Curtis Fox, Amrutha Varshini Ramesh, Étienne Marcotte, Xing Han Lù, Nicolas Chapados, Spandana Gella, Christopher Pal, Alexandre Drouin, Issam H. Laradji

CoRR, October, 2025

LineRetriever: Planning-Aware Observation Reduction for Web Agents.

Imene Kerboua, Sahar Omidi Shayegan, Megh Thakkar, Xing Han Lù, Massimo Caccia, Véronique Eglin, Alexandre Aussem, Jérémy Espinas, Alexandre Lacoste

CoRR, July, 2025

Build the web for agents, not agents for the web.

Xing Han Lù, Gaurav Kamath, Marius Mosbach, Siva Reddy

CoRR, June, 2025

AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories.

Xing Han Lù, Amirhossein Kazemnejad, Nicholas Meade, Arkil Patel, Dongchan Shin, Alejandra Zambrano, Karolina Stanczak, Peter Shaw, Christopher J. Pal, Siva Reddy

CoRR, April, 2025

DeepSeek-R1 Thoughtology: Let's about LLM Reasoning.

Sara Vera Marjanovic, Arkil Patel, Vaibhav Adlakha, Milad Aghajohari, Parishad BehnamGhader, Mehar Bhatia, Aditi Khandelwal, Austin Kraft, Benno Krojer, Xing Han Lù, Nicholas Meade, Dongchan Shin, Amirhossein Kazemnejad, Gaurav Kamath, Marius Mosbach, Karolina Stanczak, Siva Reddy

CoRR, April, 2025

MMTEB: Massive Multilingual Text Embedding Benchmark.

Kenneth C. Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzeminski, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Gabriel Sequeira, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çagatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafal Poswiata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Philipp Harries, Loïc Magne, Isabelle Mohr, Mariya Hendriksen, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal A. Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lù, Jordan Clive, Gayatri Krishnakumar, Anna Maksimova, Silvan Wehrli, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James V. Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Hongjin Su, Jimmy Lin, Howard Yen, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff

CoRR, February, 2025

The BrowserGym Ecosystem for Web Agent Research.

Thibault Le Sellier de Chezelles, Maxime Gasse, Alexandre Lacoste, Massimo Caccia, Alexandre Drouin, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Lawrence Keunho Jang, Xing Han Lù, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Graham Neubig, Quentin Cappart, Russ Salakhutdinov, Nicolas Chapados

Trans. Mach. Learn. Res., 2025

SafeArena: Evaluating the Safety of Autonomous Web Agents.

Ada Defne Tur, Nicholas Meade, Xing Han Lù, Alejandra Zambrano, Arkil Patel, Esin Durmus, Spandana Gella, Karolina Stanczak, Siva Reddy

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering.

Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lù, Nicholas Meade, Siva Reddy

Trans. Assoc. Comput. Linguistics, 2024

BM25S: Orders of magnitude faster lexical search via eager sparse scoring.

Xing Han Lù

CoRR, 2024

WebLINX: Real-World Website Navigation with Multi-Turn Dialogue.

Xing Han Lù, Zdenek Kasner, Siva Reddy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

TASTY: A Transformer based Approach to Space and Time complexity.

Kaushik Moudgalya, Ankit Ramakrishnan, Vamsikrishna Chemudupati, Xing Han Lù

CoRR, 2023

The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents.

Xing Han Lù, Siva Reddy, Harm de Vries

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment.

Zichao Li, Prakhar Sharma, Xing Han Lù, Jackie Chi Kit Cheung, Siva Reddy

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2020

Guiding Public Health Policy by Using Grocery Transaction Data to Predict Demand for Unhealthy Beverages.

Xing Han Lù, Hiroshi Mamiya, Joseph Vybihal, Yu Ma, David L. Buckeridge

Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining.

Zhi Wen, Xing Han Lù, Siva Reddy

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019

Application of Machine Learning and Grocery Transaction Data to Forecast Effectiveness of Beverage Taxation.

Xing Han Lù, Hiroshi Mamiya, Joseph Vybihal, Yu Ma, David L. Buckeridge

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

Using Digital Purchasing Data to Generate Public Health Evidence: Learning Unhealthy Beverage Demand from Grocery Transaction Data.

Hiroshi Mamiya, Xing Han Lù, Yu Ma, David L. Buckeridge

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018