Methods for retrieving alternative contract language using a prototype. - Silviu Pitis (ICAIL, 2017)

Source Traces for Temporal Difference Learning. - Silviu Pitis (AAAI, 2018)

Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach. - Silviu Pitis (AAAI, 2019)

Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. - Kristopher De Asis; Alan Chan 001; Silviu Pitis; Richard S. Sutton; Daniel Graves (AAAI, 2020)

Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes. - Silviu Pitis; Michael R. Zhang (AAMAS, 2020)

An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. - Silviu Pitis; Harris Chan; Kiarash Jamali; Jimmy Ba (ICLR, 2020)

Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. - Silviu Pitis; Harris Chan; Stephen Zhao; Bradly C. Stadie; Jimmy Ba (ICML, 2020)

Counterfactual Data Augmentation using Locally Factored Dynamics. - Silviu Pitis; Elliot Creager; Animesh Garg (NeurIPS, 2020)

MoCoDA: Model-based Counterfactual Data Augmentation. - Silviu Pitis; Elliot Creager; Ajay Mandlekar; Animesh Garg (NeurIPS, 2022)

Large Language Models are Human-Level Prompt Engineers. - Yongchao Zhou; Andrei Ioan Muresanu; Ziwen Han; Keiran Paster; Silviu Pitis; Harris Chan; Jimmy Ba (ICLR, 2023)

Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards. - Silviu Pitis (NeurIPS, 2023)

Boosted Prompt Ensembles for Large Language Models. - Silviu Pitis; Michael R. Zhang; Andrew Wang; Jimmy Ba (CoRR, 2023)

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 (ICLR, 2024)

Improving Context-Aware Preference Modeling for Language Models. - Silviu Pitis; Ziang Xiao; Nicolas Le Roux; Alessandro Sordoni (NeurIPS, 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)