Pavan Kapanipathi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
5
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory. | Tenghao Huang, Kinjal Basu, Ibrahim Abdelaziz, Pavan Kapanipathi, Jonathan May, Muhao Chen |
| 2025 | EMNLP | NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. | Kinjal Basu, Ibrahim Abdelaziz, Kiran Kate, Mayank Agarwal, Maxwell Crouse, Yara Rizk, Kelsey Bradford, Asim Munawar, Sadhana Kumaravel, Saurabh Goyal, Xin Wang, Luis A. Lastras, Pavan Kapanipathi |
| 2024 | ACL | API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. | Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras |
| 2024 | EMNLP | Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. | Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi |
| 2023 | ACL | Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. | Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray |
| 2023 | ACL | Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. | Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramn Fernandez Astudillo, Achille Fokoue, Tim Klinger |
| 2023 | ACL | MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. | Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray |
| 2023 | EMNLP | Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. | Shajith Ikbal, Udit Sharma, Hima Karanam, Sumit Neelam, Ronny Luss, Dheeraj Sreedhar, Pavan Kapanipathi, Naweed Khan, Kyle Erwin, Ndivhuwo Makondo, Ibrahim Abdelaziz, Achille Fokoue, Alexander Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra Subramanian |
| 2022 | EMNLP | X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization. | Subhajit Chaudhury, Sarathkrishna Swaminathan, R. Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramn Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, Alexander Gray |
| 2022 | EMNLP | SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. | Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam |
| 2022 | EMNLP | A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. | Srinivas Ravishankar, Dung Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue |
| 2022 | EMNLP | Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. | Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray |
| 2022 | NAACL | Zero-shot Entity Linking with Less Data. | G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Saswati Dana, Dinesh Garg, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray, L. Venkata Subramaniam |
| 2021 | AAAI | A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. | Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray |
| 2021 | AAAI | A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. | Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue |
| 2021 | AAAI | Type-augmented Relation Prediction in Knowledge Graphs. | Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji |
| 2021 | AAAI | Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. | Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell |
| 2021 | ACL | Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. | Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramn 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 |
| 2021 | ACL | Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations. | Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell |
| 2021 | ACL | A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. | Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo, Alexander G. Gray |
| 2021 | NAACL | Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization. | Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Lorraine Li, Pavan Kapanipathi, Kartik Talamadupula |
| 2020 | AAAI | Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. | Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue |
| 2019 | AAAI | Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. | Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock |
| 2018 | ACL | A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. | Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock |
| 2018 | EMNLP | An Interface for Annotating Science Questions. | Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock |
| 2014 | WWW | Hierarchical interest graph from tweets. | Pavan Kapanipathi, Prateek Jain, Chitra Venkatramani, Amit P. Sheth |