Pushing the Limits of AMR Parsing with Self-Learning. - Young-Suk Lee 001; Ramón Fernandez Astudillo; Tahira Naseem; Revanth Gangi Reddy; Radu Florian; Salim Roukos (EMNLP (Findings), 2020)

Answer Span Correction in Machine Reading Comprehension. - Revanth Gangi Reddy; Md. Arafat Sultan; Efsun Sarioglu Kayi; Rong Zhang 010; Vittorio Castelli; Avirup Sil (EMNLP (Findings), 2020)

Multi-Stage Pre-training for Low-Resource Domain Adaptation. - Rong Zhang 010; Revanth Gangi Reddy; Md. Arafat Sultan; Vittorio Castelli; Anthony Ferritto; Radu Florian; Efsun Sarioglu Kayi; Salim Roukos; Avirup Sil; Todd Ward (EMNLP (1), 2020)

End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training. - Revanth Gangi Reddy; Bhavani Iyer; Md. Arafat Sultan; Rong Zhang 010; Avi Sil; Vittorio Castelli; Radu Florian; Salim Roukos (CoRR, 2020)

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. - Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Salim Roukos; Alexander G. Gray; Ramón Fernandez Astudillo; Maria Chang 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (CoRR, 2020)

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection. - Yi R. Fung 001; Christopher Thomas 004; Revanth Gangi Reddy; Sandeep Polisetty; Heng Ji 001; Shih-Fu Chang; Kathleen R. McKeown; Mohit Bansal; Avi Sil (ACL/IJCNLP (1), 2021)

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. - Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Salim Roukos; Alexander G. Gray; Ramón Fernandez Astudillo; Maria Chang 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (ACL/IJCNLP (Findings), 2021)

Synthetic Target Domain Supervision for Open Retrieval QA. - Revanth Gangi Reddy; Bhavani Iyer; Md. Arafat Sultan; Rong Zhang 010; Avirup Sil; Vittorio Castelli; Radu Florian; Salim Roukos (SIGIR, 2021)

Towards Robust Neural Retrieval Models with Synthetic Pre-Training. - Revanth Gangi Reddy; Vikas Yadav; Md. Arafat Sultan; Martin Franz; Vittorio Castelli; Heng Ji 001; Avirup Sil (CoRR, 2021)

NewsClaims: A New Benchmark for Claim Detection from News with Background Knowledge. - Revanth Gangi Reddy; Sai Chetan Chinthakindi; Zhenhailong Wang; Yi R. Fung 001; Kathryn S. Conger; Ahmed S. Elsayed; Martha Palmer; Heng Ji 001 (CoRR, 2021)

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. - Revanth Gangi Reddy; Xilin Rui; Manling Li; Xudong Lin 003; Haoyang Wen; Jaemin Cho 001; Lifu Huang; Mohit Bansal; Avirup Sil; Shih-Fu Chang; Alexander G. Schwing; Heng Ji 001 (AAAI, 2022)

COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System. - Manling Li; Revanth Gangi Reddy; Ziqi Wang 003; Yi-Shyuan Chiang; Tuan Manh Lai; Pengfei Yu; Zixuan Zhang; Heng Ji 001 (ACL (demo), 2022)

A Zero-Shot Claim Detection Framework Using Question Answering. - Revanth Gangi Reddy; Sai Chetan Chinthakindi; Yi R. Fung 001; Kevin Small; Heng Ji 001 (COLING, 2022)

Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning. - Revanth Gangi Reddy; Vikas Yadav; Md. Arafat Sultan; Martin Franz; Vittorio Castelli; Heng Ji 001; Avirup Sil (COLING, 2022)

NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge. - Revanth Gangi Reddy; Sai Chetan Chinthakindi; Zhenhailong Wang; Yi R. Fung 001; Kathryn Conger; Ahmed Elsayed; Martha Palmer; Preslav Nakov; Eduard H. Hovy; Kevin Small; Heng Ji 001 (EMNLP, 2022)

Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval. - Revanth Gangi Reddy; Md. Arafat Sultan; Martin Franz; Avirup Sil; Heng Ji 001 (SIGIR, 2022)

SumREN: Summarizing Reported Speech about Events in News. - Revanth Gangi Reddy; Heba Elfardy; Hou Pong Chan; Kevin Small; Heng Ji 001 (AAAI, 2023)

Social Commonsense-Guided Search Query Generation for Open-Domain Knowledge-Powered Conversations. - Revanth Gangi Reddy; Hao Bai; Wentao Yao 001; Sharath Chandra Etagi Suresh; Heng Ji 001; ChengXiang Zhai (EMNLP (Findings), 2023)

SmartBook: AI-Assisted Situation Report Generation. - Revanth Gangi Reddy; Yi R. Fung 001; Qi Zeng 001; Manling Li; Ziqi Wang 003; Paul Sullivan; Heng Ji 001 (CoRR, 2023)

Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval. - Revanth Gangi Reddy; Pradeep Dasigi; Md. Arafat Sultan; Arman Cohan; Avirup Sil; Heng Ji 001; Hannaneh Hajishirzi (CoRR, 2023)

C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation. - Liliang Ren; Mankeerat Sidhu; Qi Zeng 001; Revanth Gangi Reddy; Heng Ji 001; ChengXiang Zhai (CoRR, 2023)

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output. - Yuxia Wang; Revanth Gangi Reddy; Zain Muhammad Mujahid; Arnav Arora; Aleksandr Rubashevskii; Jiahui Geng; Osama Mohammed Afzal; Liangming Pan; Nadav Borenstein; Aditya Pillai; Isabelle Augenstein; Iryna Gurevych; et al. (CoRR, 2023)

AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings. - Revanth Gangi Reddy; Omar Attia; Yunyao Li 001; Heng Ji 001; Saloni Potdar (EMNLP, 2024)

FIRST: Faster Improved Listwise Reranking with Single Token Decoding. - Revanth Gangi Reddy; JaeHyeok Doo; Yifei Xu; Md. Arafat Sultan; Deevya Swain; Avirup Sil; Heng Ji 001 (EMNLP, 2024)

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers. - Yuxia Wang; Revanth Gangi Reddy; Zain Muhammad Mujahid; Arnav Arora; Aleksandr Rubashevskii; Jiahui Geng; Osama Mohammed Afzal; Liangming Pan; Nadav Borenstein; Aditya Pillai; Isabelle Augenstein; Iryna Gurevych; et al. (EMNLP (Findings), 2024)

Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization. - Zixuan Zhang; Revanth Gangi Reddy; Kevin Small; Tong Zhang 001; Heng Ji 001 (NAACL-HLT (Findings), 2024)

Dialog Flow Induction for Constrainable LLM-Based Chatbots. - Stuti Agrawal; Pranav Pillai; Nishi Uppuluri; Revanth Gangi Reddy; Sha Li; Gokhan Tur; Dilek Hakkani-Tur; Heng Ji 001 (SIGDIAL, 2024)

CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations. - Revanth Gangi Reddy; Sharath Chandra Etagi Suresh; Hao Bai; Wentao Yao 001; Mankeerat Sidhu; Karan Aggarwal; Prathamesh Sonawane; ChengXiang Zhai (WSDM, 2024)

Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. - Chenkai Sun; Ke Yang; Revanth Gangi Reddy; Yi R. Fung 001; Hou Pong Chan; ChengXiang Zhai; Heng Ji 001 (CoRR, 2024)

Dialog Flow Induction for Constrainable LLM-Based Chatbots. - Stuti Agrawal; Nishi Uppuluri; Pranav Pillai; Revanth Gangi Reddy; Zoey Li; Gokhan Tur; Dilek Hakkani-Tur; Heng Ji 001 (CoRR, 2024)

Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play. - Sha Li; Revanth Gangi Reddy; Khanh Duy Nguyen; Qingyun Wang 005; May Fung; Chi Han; Jiawei Han 001; Kartik Natarajan; Clare R. Voss; Heng Ji 001 (CoRR, 2024)

CoRNStack: High-Quality Contrastive Data for Better Code Ranking. - Tarun Suresh; Revanth Gangi Reddy; Yifei Xu; Zach Nussbaum; Andriy Mulyar; Brandon Duderstadt; Heng Ji 001 (CoRR, 2024)

ReFIT: Reranker Relevance Feedback during Inference. - Revanth Gangi Reddy; Pradeep Dasigi; Md. Arafat Sultan; Arman Cohan; Avirup Sil; Heng Ji 001; Hannaneh Hajishirzi (IEEE Data Eng. Bull., 2024)

Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. - Chenkai Sun; Ke Yang; Revanth Gangi Reddy; Yi Ren Fung 001; Hou Pong Chan; Kevin Small; ChengXiang Zhai; Heng Ji 001 (COLING, 2025)

Search and Detect: Training-Free Long Tail Object Detection via Web-Image Retrieval. - Mankeerat Sidhu; Hetarth Chopra; Ansel Blume; Jeonghwan Kim; Revanth Gangi Reddy; Heng Ji 001 (CVPR, 2025)

CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking. - Tarun Suresh; Revanth Gangi Reddy; Yifei Xu; Zach Nussbaum; Andriy Mulyar; Brandon Duderstadt; Heng Ji 001 (ICLR, 2025)

Infogent: An Agent-Based Framework for Web Information Aggregation. - Revanth Gangi Reddy; Sagnik Mukherjee; Jeonghwan Kim; Zhenhailong Wang; Dilek Hakkani-Tür; Heng Ji 001 (NAACL (Findings), 2025)

A Large-Scale Study of Reranker Relevance Feedback at Inference. - Revanth Gangi Reddy; Pradeep Dasigi; Md. Arafat Sultan; Arman Cohan; Avirup Sil; Heng Ji 001; Hannaneh Hajishirzi (SIGIR, 2025)

SweRank: Software Issue Localization with Code Ranking. - Revanth Gangi Reddy; Tarun Suresh; JaeHyeok Doo; Ye Liu 006; Xuan-Phi Nguyen; Yingbo Zhou; Semih Yavuz; Caiming Xiong; Heng Ji 001; Shafiq Joty (CoRR, 2025)

WINELL: Wikipedia Never-Ending Updating with LLM Agents. - Revanth Gangi Reddy; Tanay Dixit; Jiaxin Qin; Cheng Qian 008; Daniel Lee; Jiawei Han 001; Kevin Small; Xing Fan; Ruhi Sarikaya; Heng Ji 001 (CoRR, 2025)