Silviu Pitis

According to our database, Silviu Pitis authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

Report Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries.

Blair Yang, Fuyang Cui, Keiran Paster, Jimmy Ba, Pashootan Vaezipoor, Silviu Pitis, Michael R. Zhang

CoRR, 2024

Improving Context-Aware Preference Modeling for Language Models.

Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni

CoRR, 2024

Identifying the Risks of LM Agents with an LM-Emulated Sandbox.

Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Boosted Prompt Ensembles for Large Language Models.

Silviu Pitis, Michael R. Zhang, Andrew Wang, Jimmy Ba

CoRR, 2023

Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards.

Silviu Pitis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large Language Models are Human-Level Prompt Engineers.

Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

MoCoDA: Model-based Counterfactual Data Augmentation.

Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Counterfactual Data Augmentation using Locally Factored Dynamics.

Silviu Pitis, Elliot Creager, Animesh Garg

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning.

Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba

Proceedings of the 37th International Conference on Machine Learning, 2020

An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality.

Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba

Proceedings of the 8th International Conference on Learning Representations, 2020

Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes.

Silviu Pitis, Michael R. Zhang

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning.

Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach.

Silviu Pitis

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Source Traces for Temporal Difference Learning.

Silviu Pitis

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

2017

Methods for retrieving alternative contract language using a prototype.

Silviu Pitis

Proceedings of the 16th edition of the International Conference on Artificial Intelligence and Law, 2017