Lucas Spangher

25 papers A* 2Journal 12Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Chatbot Arena Estimate: towards a generalized performance benchmark for LLM capabilities. NAACL (Industry Track) Lucas Spangher, Tianle Li, William F. Arnold, Nick Masiewicki, Xerxes Dotiwalla, Rama Kumar Pasumarthi, Peter Grabowski, Eugene Ie, Daniel Gruhl
2025	J	`jnl`	Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use. CoRR Nicholas Roth, Christopher Hidey, Lucas Spangher, William F. Arnold, Chang Ye, Nick Masiewicki, Jinoo Baek, Peter Grabowski, Eugene Ie
2025	—	`conf`	RLHF Algorithms Ranked: An Extensive Evaluation Across Diverse Tasks, Rewards, and Hyperparameters. EMNLP (Industry Track) Lucas Spangher, Rama Kumar Pasumarthi, Nick Masiewicki, William F. Arnold, Aditi Kaushal, Dale Johnson, Peter Grabowski, Eugene Ie
2025	J	`jnl`	Revisiting Funnel Transformers for Modern LLM Architectures with Comprehensive Ablations in Training and Inference Configurations. CoRR DongHyun Choi, Lucas Spangher, Chris Hidey, Peter Grabowski, Ramy Eskander
2024	A*	`conf`	Active Reinforcement Learning for Robust Building Control. AAAI Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos
2024	J	`jnl`	Offline Regularised Reinforcement Learning for Large Language Models Alignment. CoRR Pierre Harvey Richemond, Yunhao Tang, Daniel Guo, Daniele Calandriello, Mohammad Gheshlaghi Azar, Rafael Rafailov, Bernardo Ávila Pires, Eugene Tarassov, Lucas Spangher, Will Ellsworth, Aliaksei Severyn, Jonathan Mallinson, Lior Shani, Gil Shamir, Rishabh Joshi, Tianqi Liu, Rémi Munos, Bilal Piot
2024	A*	`conf`	Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy. ICML Lucas Spangher, Allen M. Wang, Andrew Maris, Myles Stapelberg, Viraj Mehta, Alex Saperstein, Stephen Lane-Walsh, Akshata Kishore Moharir, Alessandro Pau, Cristina Rea
2024	J	`jnl`	Project MPG: towards a generalized performance benchmark for LLM capabilities. CoRR Lucas Spangher, Tianle Li, William F. Arnold, Nick Masiewicki, Xerxes Dotiwalla, Rama Parusmathi, Peter Grabowski, Eugene Ie, Daniel Gruhl
2024	J	`jnl`	Time Series Viewmakers for Robust Disruption Prediction. CoRR Dhruva Chayapathy, Tavis Siebert, Lucas Spangher, Akshata Kishore Moharir, Om Manoj Patil, Cristina Rea
2023	J	`jnl`	Active Reinforcement Learning for Robust Building Control. CoRR Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos
2023	J	`jnl`	Continuous Convolutional Neural Networks for Disruption Prediction in Nuclear Fusion Plasmas. CoRR William F. Arnold, Lucas Spangher, Christina Rea
2023	—	`conf`	Personalized Federated Hypernetworks for Multi-Task Reinforcement Learning in Microgrid Energy Demand Response. BuildSys Doseok Jang, Lucas Spangher, Tarang Srivastava, Larry Yan, Costas J. Spanos
2022	—	`conf`	Adversarial poisoning attacks on reinforcement learning-driven energy pricing. BuildSys Sam Gunn, Doseok Jang, Orr Paradise, Lucas Spangher, Costas J. Spanos
2022	J	`jnl`	Machine Learning for Smart and Energy-Efficient Buildings. CoRR Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan, Lucas Spangher, Alex Devonport, Yu Yang, Ján Drgona, Adrian Chong, Stefano Schiavon, Costas J. Spanos
2022	J	`jnl`	Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning. CoRR Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos
2021	—	`conf`	Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control. e-Energy William F. Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos
2021	J	`jnl`	Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control. CoRR William F. Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos
2021	J	`jnl`	Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs. CoRR Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos
2021	—	`conf`	Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs. BuildSys Doseok Jang, Lucas Spangher, Tarang Srivastava, Manan Khattar, Utkarsha Agwan, Selvaprabu Nadarajah, Costas J. Spanos
2021	—	`conf`	Offline-online reinforcement learning for generalizing demand response price-setting to energy systems. BuildSys Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos
2021	—	`conf`	Pricing in Prosumer Aggregations using Reinforcement Learning. e-Energy Utkarsha Agwan, Lucas Spangher, William F. Arnold, Tarang Srivastava, Kameshwar Poolla, Costas J. Spanos
2021	—	`conf`	Transactive multi-agent reinforcement learning for distributed energy price localization. BuildSys Lucas Spangher
2021	—	`conf`	Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response. e-Energy Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Costas J. Spanos
2021	J	`jnl`	Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response. CoRR Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Costas J. Spanos
2020	—	`conf`	Prospective Experiment for Reinforcement Learning on Demand Response in a Social Game Framework. e-Energy Lucas Spangher, Akash Gokul, Manan Khattar, Joseph Palakapilly, Akaash Tawade, Adam Bouyamourn, Alex Devonport, Costas J. Spanos