Adam Stein

According to our database, Adam Stein authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

2025

Instruction Following by Boosting Attention of Large Language Models.

Vitoria Guardieiro, Adam Stein, Avishree Khare, Eric Wong

CoRR, June, 2025

The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models.

Adam Stein, Aaditya Naik, Neelay Velingker, Mayur Naik, Eric Wong

CoRR, May, 2025

Where's the Bug? Attention Probing for Scalable Fault Localization.

Adam Stein, Arthur Wayne, Aaditya Naik, Mayur Naik, Eric Wong

CoRR, February, 2025

Towards Style Alignment in Cross-Cultural Translation.

Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

TorchQL: A Programming Framework for Integrity Constraints in Machine Learning.

Aaditya Naik, Adam Stein, Yinjun Wu, Mayur Naik, Eric Wong

Proc. ACM Program. Lang., 2024

Towards Compositionality in Concept Learning.

Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong

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

2023

Relational Query Synthesis ⋈ Decision Tree Learning.

Aaditya Naik, Aalok Thakkar, Adam Stein, Rajeev Alur, Mayur Naik

Proc. VLDB Endow., 2023

MDB: Interactively Querying Datasets and Models.

Aaditya Naik, Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik

CoRR, 2023

Rectifying Group Irregularities in Explanations for Distribution Shift.

Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik

CoRR, 2023

Faithful Chain-of-Thought Reasoning.

Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

TopEx: Topic-based Explanations for Model Comparison.

Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Learning to Select Pivotal Samples for Meta Re-weighting.

Yinjun Wu, Adam Stein, Jacob Gardner, Mayur Naik

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

2018

Attribution Inference for Digital Advertising using Inhomogeneous Poisson Models.

Zachary Nichols, Adam Stein

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018