Ameya Godbole

According to our database, Ameya Godbole authored at least 15 papers between 2018 and 2025.

Collaborative distances:

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

2025

TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability.

Mohammad Aflah Khan, Ameya Godbole, Johnny Tian-Zheng Wei, Ryan Wang, James Flemings, Krishna P. Gummadi, Willie Neiswanger, Robin Jia

CoRR, July, 2025

Interrogating LLM design under a fair learning doctrine.

Johnny Tian-Zheng Wei, Maggie Wang, Ameya Godbole, Jonathan H. Choi, Robin Jia

CoRR, February, 2025

Interrogating LLM design under copyright law.

Johnny Tian-Zheng Wei, Maggie Wang, Ameya Godbole, Jonathan H. Choi, Robin Jia

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics.

Ameya Godbole, Robin Jia

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Analysis of Plan-based Retrieval for Grounded Text Generation.

Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples.

Deqing Fu, Ameya Godbole, Robin Jia

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Benchmarking Long-tail Generalization with Likelihood Splits.

Ameya Godbole, Robin Jia

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Knowledge Base Question Answering by Case-based Reasoning over Subgraphs.

Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum

Proceedings of the International Conference on Machine Learning, 2022

2021

Case-based Reasoning for Natural Language Queries over Knowledge Bases.

Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion.

Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum

CoRR, 2020

Probabilistic Case-based Reasoning in Knowledge Bases.

Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Simple Approach to Case-Based Reasoning in Knowledge Bases.

Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019

Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference.

Rajarshi Das, Ameya Godbole, Manzil Zaheer, Shehzaad Dhuliawala, Andrew McCallum

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering.

Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Siamese Neural Networks with Random Forest for detecting duplicate question pairs.

Ameya Godbole, Aman Dalmia, Sunil Kumar Sahu

CoRR, 2018