Elaine Lau

According to our database, Elaine Lau authored at least 16 papers between 2006 and 2026.

Collaborative distances:

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

2026

BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows.

Elaine Lau, Markus Dücker, Ronak Chaudhary, Hui Wen Goh, Rosemary Wei, Vaibhav Kumar, Saed Qunbar, Guram Gogia, Yi Liu, Scott Millslagle, Nasim Borazjanizadeh, Ulyana Tkachenko, Samuel Eshun Danquah, Collin Schweiker, Vijay Karumathil, Asrith Devalaraju, Varsha Sandadi, Haemi Nam, Punit Arani, Ray Epps, Abdullah Arif, Sahil Bhaiwala, Curtis G. Northcutt, Skyler Wang, Anish Athalye, Jonas W. Mueller, Francisco Guzmán

CoRR, April, 2026

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?

Udari Madhushani Sehwag, Elaine Lau, Haniyeh Ehsani Oskouie, Shayan Shabihi, Erich Liang, Andrea Toledo, Guillermo Mangialardi, Sergio Fonrouge, Ed-Yeremai Hernandez-Cardona, Paula Vergara, Utkarsh Tyagi, Chen Bo Calvin Zhang, Pavi Bhatter, Nicholas Johnson, Furong Huang, Ernesto Gabriel Hernández Montoya, Bing Liu

CoRR, April, 2026

2025

Remote Labor Index: Measuring AI Automation of Remote Work.

Mantas Mazeika, Alice Gatti, Cristina Menghini, Udari Madhushani Sehwag, Shivam Singhal, Yury Orlovskiy, Steven Basart, Manasi Sharma, Denis Peskoff, Elaine Lau, Jaehyuk Lim, Lachlan Carroll, Alice Blair, Vinaya Sivakumar, Sumana Basu, Brad Kenstler, Yuntao Ma, Julian Michael, Xiaoke Li, Oliver Ingebretsen, Aditya Mehta, Jean Mottola, John Teichmann, Kevin Yu, Zaina Shaik, Adam Khoja, Richard Ren, Jason Hausenloy, Long Phan, Ye Htet, Ankit Aich, Tahseen Rabbani, Vivswan Shah, Andriy Novykov, Felix Binder, Kirill Chugunov, Luis Ramirez, Matias Geralnik, Hernán Mesura, Dean Lee, Ed-Yeremai Hernandez-Cardona, Annette Diamond, Summer Yue, Alexandr Wang, Bing Liu, Ernesto Hernandez, Dan Hendrycks

CoRR, October, 2025

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

Anisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Bing Liu, Sean Hendryx

CoRR, July, 2025

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models.

Vaskar Nath, Elaine Lau, Anisha Gunjal, Manasi Sharma, Nikhil Baharte, Sean Hendryx

CoRR, June, 2025

Aligned LLMs Are Not Aligned Browser Agents.

Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Elaine T. Chang, Vaughn Robinson, Shuyan Zhou, Matt Fredrikson, Sean M. Hendryx, Summer Yue, Zifan Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents.

Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Scale Red Team, Elaine T. Chang, Vaughn Robinson, Sean Hendryx, Shuyan Zhou, Matt Fredrikson, Summer Yue, Zifan Wang

CoRR, 2024

QGFN: Controllable Greediness with Action Values.

Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

DGFN: Double Generative Flow Networks.

Elaine Lau, Nikhil Vemgal, Doina Precup, Emmanuel Bengio

CoRR, 2023

An Empirical Study of the Effectiveness of Using a Replay Buffer on Mode Discovery in GFlowNets.

Nikhil Vemgal, Elaine Lau, Doina Precup

CoRR, 2023

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support.

Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhom, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar, Bencheng Wei, Iris Ren, Waqar Muhammad, Erin Li, Bukola Ishola, Michael Wang, Griffin Tanner, Yu-Jia Shiah, Sean X. Zhang, Kwesi P. Apponsah, Kanishk Patel, Jaswinder Narain, Deval Pandya, Xiaodan Zhu, Frank Rudzicz, Elham Dolatabadi

CoRR, 2023

A Research Framework and Initial Study of Browser Security for the Visually Impaired.

Elaine Lau, Zachary Peterson

Proceedings of the 32nd USENIX Security Symposium, 2023

Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning.

Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Policy Gradients Incorporating the Future.

David Venuto, Elaine Lau, Doina Precup, Ofir Nachum

Proceedings of the Tenth International Conference on Learning Representations, 2022

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support.

Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhorn, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2006

Clinical Decision Support for Vascular Disease in Community Family Practice.

Karim Keshavjee, Anne Marie Holbrook, Elaine Lau, Imelda Esporlas-Jewer, Sue Troyan

Proceedings of the AMIA 2006, 2006