Siamese Neural Networks with Random Forest for detecting duplicate question pairs. - Ameya Godbole; Aman Dalmia; Sunil Kumar Sahu (CoRR, 2018)

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 (MRQA@EMNLP, 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 (TextGraphs@EMNLP, 2019)

A Simple Approach to Case-Based Reasoning in Knowledge Bases. - Rajarshi Das; Ameya Godbole; Shehzaad Dhuliawala; Manzil Zaheer; Andrew McCallum (AKBC, 2020)

Probabilistic Case-based Reasoning in Knowledge Bases. - Rajarshi Das; Ameya Godbole; Nicholas Monath; Manzil Zaheer; Andrew McCallum (EMNLP (Findings), 2020)

Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion. - Rajarshi Das; Ameya Godbole; Nicholas Monath; Manzil Zaheer; Andrew McCallum (CoRR, 2020)

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 (EMNLP (1), 2021)

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 (ICML, 2022)

Benchmarking Long-tail Generalization with Likelihood Splits. - Ameya Godbole; Robin Jia (EACL (Findings), 2023)

SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples. - Deqing Fu; Ameya Godbole; Robin Jia (EMNLP, 2023)

Analysis of Plan-based Retrieval for Grounded Text Generation. - Ameya Godbole; Nicholas Monath; Seungyeon Kim 001; Ankit Singh Rawat; Andrew McCallum; Manzil Zaheer (EMNLP, 2024)

Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics. - Ameya Godbole; Robin Jia (ACL (Findings), 2025)

Interrogating LLM design under copyright law. - Johnny Tian-Zheng Wei; Maggie Wang; Ameya Godbole; Jonathan H. Choi; Robin Jia (FAccT, 2025)

Interrogating LLM design under a fair learning doctrine. - Johnny Tian-Zheng Wei; Maggie Wang; Ameya Godbole; Jonathan H. Choi; Robin Jia (CoRR, 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, 2025)