Revanth Gangi Reddy

According to our database, Revanth Gangi Reddy authored at least 24 papers between 2020 and 2024.

Collaborative distances:

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

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, Hou Pong Chan, ChengXiang Zhai, Heng Ji

CoRR, 2024

CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations.

Revanth Gangi Reddy, Sharath Chandra Etagi Suresh, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang Zhai

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

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, Preslav Nakov

CoRR, 2023

C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation.

Liliang Ren, Mankeerat Sidhu, Qi Zeng, Revanth Gangi Reddy, Heng Ji, ChengXiang Zhai

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, Hannaneh Hajishirzi

CoRR, 2023

SmartBook: AI-Assisted Situation Report Generation.

Revanth Gangi Reddy, Yi R. Fung, Qi Zeng, Manling Li, Ziqi Wang, Paul Sullivan, Heng Ji

CoRR, 2023

Social Commonsense-Guided Search Query Generation for Open-Domain Knowledge-Powered Conversations.

Revanth Gangi Reddy, Hao Bai, Wentao Yao, Sharath Chandra Etagi Suresh, Heng Ji, ChengXiang Zhai

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

SumREN: Summarizing Reported Speech about Events in News.

Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji

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

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge.

Revanth Gangi Reddy, Sai Chetan Chinthakindi, Zhenhailong Wang, Yi R. Fung, Kathryn Conger, Ahmed Elsayed, Martha Palmer, Preslav Nakov, Eduard H. Hovy, Kevin Small, Heng Ji

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 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, Avirup Sil

Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Zero-Shot Claim Detection Framework Using Question Answering.

Revanth Gangi Reddy, Sai Chetan Chinthakindi, Yi R. Fung, Kevin Small, Heng Ji

Proceedings of the 29th International Conference on Computational Linguistics, 2022

COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System.

Manling Li, Revanth Gangi Reddy, Ziqi Wang, Yi-Shyuan Chiang, Tuan Manh Lai, Pengfei Yu, Zixuan Zhang, Heng Ji

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding.

Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

NewsClaims: A New Benchmark for Claim Detection from News with Background Knowledge.

Revanth Gangi Reddy, Sai Chetan Chinthakindi, Zhenhailong Wang, Yi R. Fung, Kathryn S. Conger, Ahmed S. Elsayed, Martha Palmer, Heng Ji

CoRR, 2021

Towards Robust Neural Retrieval Models with Synthetic Pre-Training.

Revanth Gangi Reddy, Vikas Yadav, Md. Arafat Sultan, Martin Franz, Vittorio Castelli, Heng Ji, Avirup Sil

CoRR, 2021

Synthetic Target Domain Supervision for Open Retrieval QA.

Revanth Gangi Reddy, Bhavani Iyer, Md. Arafat Sultan, Rong Zhang, Avirup Sil, Vittorio Castelli, Radu Florian, Salim Roukos

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection.

Yi R. Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen R. McKeown, Mohit Bansal, Avi Sil

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu

CoRR, 2020

End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training.

Revanth Gangi Reddy, Bhavani Iyer, Md. Arafat Sultan, Rong Zhang, Avi Sil, Vittorio Castelli, Radu Florian, Salim Roukos

CoRR, 2020

Multi-Stage Pre-training for Low-Resource Domain Adaptation.

Rong Zhang, Revanth Gangi Reddy, Md. Arafat Sultan, Vittorio Castelli, Anthony Ferritto, Radu Florian, Efsun Sarioglu Kayi, Salim Roukos, Avirup Sil, Todd Ward

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Answer Span Correction in Machine Reading Comprehension.

Revanth Gangi Reddy, Md. Arafat Sultan, Efsun Sarioglu Kayi, Rong Zhang, Vittorio Castelli, Avirup Sil

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

Pushing the Limits of AMR Parsing with Self-Learning.

Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Revanth Gangi Reddy, Radu Florian, Salim Roukos

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