Ameya Godbole

26 papers A* 3Journal 14Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evaluating LLM-Simulated Conversations in Modeling Inconsistent and Uncollaborative Behaviors in Human Social Interaction.
CoRR
Ryo Kamoi, Ameya Godbole, Longqi Yang, Rui Zhang, Mengting Wan, Pei Zhou
2025 J jnl
Hubble: a Model Suite to Advance the Study of LLM Memorization.
CoRR
Johnny Tian-Zheng Wei, Ameya Godbole, Mohammad Aflah Khan, Ryan Wang, Xiaoyuan Zhu, James Flemings, Nitya Kashyap, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2025 J jnl
Interrogating LLM design under a fair learning doctrine.
CoRR
Johnny Tian-Zheng Wei, Maggie Wang, Ameya Godbole, Jonathan H. Choi, Robin Jia
2025 — conf
Interrogating LLM design under copyright law.
FAccT
Johnny Tian-Zheng Wei, Maggie Wang, Ameya Godbole, Jonathan H. Choi, Robin Jia
2025 — conf
TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability.
EMNLP (System Demonstrations)
Mohammad Aflah Khan, Ameya Godbole, Johnny Tian-Zheng Wei, Ryan Yixiang Wang, James Flemings, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2025 J jnl
TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability.
CoRR
Mohammad Aflah Khan, Ameya Godbole, Johnny Tian-Zheng Wei, Ryan Wang, James Flemings, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2025 — conf
Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics.
ACL (Findings)
Ameya Godbole, Robin Jia
2025 J jnl
Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics.
CoRR
Ameya Godbole, Robin Jia
2024 A* conf
Analysis of Plan-based Retrieval for Grounded Text Generation.
EMNLP
Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer
2024 J jnl
Analysis of Plan-based Retrieval for Grounded Text Generation.
CoRR
Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer
2023 — conf
Benchmarking Long-tail Generalization with Likelihood Splits.
EACL (Findings)
Ameya Godbole, Robin Jia
2023 A* conf
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples.
EMNLP
Deqing Fu, Ameya Godbole, Robin Jia
2023 J jnl
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples.
CoRR
Deqing Fu, Ameya Godbole, Robin Jia
2022 J jnl
Benchmarking Long-tail Generalization with Likelihood Splits.
CoRR
Ameya Godbole, Robin Jia
2022 A* conf
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs.
ICML
Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum
2022 J jnl
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs.
CoRR
Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Robin Jia, Manzil Zaheer, Hannaneh Hajishirzi, Andrew McCallum
2021 — conf
Case-based Reasoning for Natural Language Queries over Knowledge Bases.
EMNLP (1)
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
2021 J jnl
Case-based Reasoning for Natural Language Queries over Knowledge Bases.
CoRR
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
2020 — conf
A Simple Approach to Case-Based Reasoning in Knowledge Bases.
AKBC
Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
2020 J jnl
A Simple Approach to Case-Based Reasoning in Knowledge Bases.
CoRR
Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
2020 J jnl
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion.
CoRR
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2020 — conf
Probabilistic Case-based Reasoning in Knowledge Bases.
EMNLP (Findings)
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
2019 — conf
Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference.
TextGraphs@EMNLP
Rajarshi Das, Ameya Godbole, Manzil Zaheer, Shehzaad Dhuliawala, Andrew McCallum
2019 — conf
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering.
MRQA@EMNLP
Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum
2019 J jnl
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering.
CoRR
Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum
2018 J jnl
Siamese Neural Networks with Random Forest for detecting duplicate question pairs.
CoRR
Ameya Godbole, Aman Dalmia, Sunil Kumar Sahu