Pavan Kapanipathi

89 papers A* 9B 3Misc 1Journal 42Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Simulating Complex Multi-Turn Tool Calling Interactions in Stateless Execution Environments. CoRR Maxwell Crouse, Ibrahim Abdelaziz, Kshitij Fadnis, Siva Sankalp Patel, Kinjal Basu, Chulaka Gunasekara, Sadhana Kumaravel, Asim Munawar, Pavan Kapanipathi
2025	J	`jnl`	MiGrATe: Mixed-Policy GRPO for Adaptation at Test-Time. CoRR Peter Phan, Dhruv Agarwal, Kavitha Srinivas, Horst Samulowitz, Pavan Kapanipathi, Andrew McCallum
2025	A*	`conf`	NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. EMNLP 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
2025	J	`jnl`	Putting It All into Context: Simplifying Agents with LCLMs. CoRR Mingjian Jiang, Yangjun Ruan, Luis A. Lastras, Pavan Kapanipathi, Tatsunori Hashimoto
2025	J	`jnl`	R2D2: Remembering, Reflecting and Dynamic Decision Making for Web Agents. CoRR Tenghao Huang, Kinjal Basu, Ibrahim Abdelaziz, Pavan Kapanipathi, Jonathan May, Muhao Chen
2025	—	`conf`	R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory. ACL (1) Tenghao Huang, Kinjal Basu, Ibrahim Abdelaziz, Pavan Kapanipathi, Jonathan May, Muhao Chen
2025	J	`jnl`	ToolRM: Outcome Reward Models for Tool-Calling Large Language Models. CoRR Mayank Agarwal, Ibrahim Abdelaziz, Kinjal Basu, Merve Unuvar, Luis A. Lastras, Yara Rizk, Pavan Kapanipathi
2024	—	`conf`	API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
2024	J	`jnl`	API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. CoRR Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
2024	J	`jnl`	Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, Syed Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
2024	—	`conf`	Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. EMNLP (Industry Track) 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
2024	J	`jnl`	Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachin 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
2024	J	`jnl`	NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. CoRR Kinjal Basu, Ibrahim Abdelaziz, Kelsey Bradford, Maxwell Crouse, Kiran Kate, Sadhana Kumaravel, Saurabh Goyal, Asim Munawar, Yara Rizk, Xin Wang, Luis A. Lastras, Pavan Kapanipathi
2023	J	`jnl`	Formally Specifying the High-Level Behavior of LLM-Based Agents. CoRR Maxwell Crouse, Ibrahim Abdelaziz, Kinjal Basu, Soham Dan, Sadhana Kumaravel, Achille Fokoue, Pavan Kapanipathi, Luis A. Lastras
2023	—	`ed.`	Joint Proceedings of Scholarly QALD 2023 and SemREC 2023 co-located with 22nd International Semantic Web Conference ISWC 2023, Athens, Greece, November 6-10, 2023. QALD/SemREC@ISWC Debayan Banerjee, Ricardo Usbeck, Nandana Mihindukulasooriya, Gunjan Singh, Raghava Mutharaju, Pavan Kapanipathi
2023	—	`ed.`	Joint Proceedings of SemREC 2022 and SMART 2022 co-located with 21st International Semantic Web Conference (ISWC 2022), Hybrid event, Hangzhou, China, October 24-27, 2022. SemREC/SMART@ISWC Gunjan Singh, Raghava Mutharaju, Pavan Kapanipathi, Nandana Mihindukulasooriya, Mohnish Dubey, Ricardo Usbeck, Debayan Banerjee
2023	—	`conf`	Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. ACL (1) Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger
2023	J	`jnl`	Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. CoRR Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger
2023	—	`conf`	Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. ACL (1) Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
2023	J	`jnl`	Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. CoRR Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
2023	J	`jnl`	Learning to Guide a Saturation-Based Theorem Prover. IEEE Trans. Pattern Anal. Mach. Intell. Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
2023	—	`conf`	MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. ACL (Findings) 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	J	`jnl`	MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. CoRR 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	J	`jnl`	Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency. CoRR Maxwell Crouse, Ramón Fernandez Astudillo, Tahira Naseem, Subhajit Chaudhury, Pavan Kapanipathi, Salim Roukos, Alexander Gray
2023	—	`conf`	Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. EMNLP (Findings) 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	J	`jnl`	A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. CoRR 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 G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam
2022	—	`conf`	A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. EMNLP (Findings) Srinivas Ravishankar, Dung Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue
2022	J	`jnl`	CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. CoRR Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum
2022	A*	`conf`	Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. EMNLP Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
2022	—	`ed.`	Proceedings of the Semantic Reasoning Evaluation Challenge (SemREC 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual Event, October 27th, 2021. SemREC@ISWC Gunjan Singh, Raghava Mutharaju, Pavan Kapanipathi
2022	—	`conf`	SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. EMNLP (Findings) 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	B	`ed.`	The Semantic Web - 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 - June 2, 2022, Proceedings ESWC Paul Groth, Maria-Esther Vidal, Fabian M. Suchanek, Pedro A. Szekely, Pavan Kapanipathi, Catia Pesquita, Hala Skaf-Molli, Minna Tamper
2022	A*	`conf`	X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization. EMNLP Subhajit Chaudhury, Sarathkrishna Swaminathan, R. Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, Alexander Gray
2022	—	`conf`	Zero-shot Entity Linking with Less Data. NAACL-HLT (Findings) G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Saswati Dana, Dinesh Garg, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray, L. Venkata Subramaniam
2021	A*	`conf`	A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. AAAI Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
2021	A*	`conf`	A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. AAAI Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
2021	—	`conf`	A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. ACL/IJCNLP (2) Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo, Alexander G. Gray
2021	J	`jnl`	A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. CoRR Srinivas Ravishankar, June Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue
2021	J	`jnl`	Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion. CoRR Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Francois P. S. Luus, Salim Roukos, Alexander G. Gray
2021	—	`conf`	Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations. ACL/IJCNLP (2) Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
2021	Misc	`conf`	Generative Relation Linking for Question Answering over Knowledge Bases. ISWC Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi
2021	J	`jnl`	Generative Relation Linking for Question Answering over Knowledge Bases. CoRR Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi
2021	J	`jnl`	Learning to Guide a Saturation-Based Theorem Prover. CoRR Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
2021	J	`jnl`	Learning to Transpile AMR into SPARQL. CoRR Mihaela A. Bornea, Ramón Fernandez Astudillo, Tahira Naseem, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Pavan Kapanipathi, Radu Florian, Salim Roukos
2021	—	`conf`	Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. ACL/IJCNLP (Findings) 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
2021	J	`jnl`	Logic Embeddings for Complex Query Answering. CoRR Francois P. S. Luus, Prithviraj Sen, Pavan Kapanipathi, Ryan Riegel, Ndivhuwo Makondo, Thabang Lebese, Alexander G. Gray
2021	—	`conf`	Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization. NAACL-HLT Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Lorraine Li, Pavan Kapanipathi, Kartik Talamadupula
2021	J	`jnl`	SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. CoRR 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 G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam
2021	A*	`conf`	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. AAAI Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
2021	A*	`conf`	Type-augmented Relation Prediction in Knowledge Graphs. AAAI Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji
2020	J	`jnl`	Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge. CoRR Keerthiram Murugesan, Mattia Atzeni, Pushkar Shukla, Mrinmaya Sachan, Pavan Kapanipathi, Kartik Talamadupula
2020	A*	`conf`	Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. AAAI 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
2020	—	`conf`	Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. ISWC (1) Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
2020	J	`jnl`	Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. CoRR Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
2020	J	`jnl`	Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks. CoRR Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula
2020	J	`jnl`	Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. CoRR 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
2020	—	`conf`	Reading Comprehension as Natural Language Inference: A Semantic Analysis. *SEM@COLING Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula
2020	J	`jnl`	Reading Comprehension as Natural Language Inference: A Semantic Analysis. CoRR Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula
2020	J	`jnl`	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. CoRR Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
2020	J	`jnl`	Type-augmented Relation Prediction in Knowledge Graphs. CoRR Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji
2019	J	`jnl`	A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. CoRR Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
2019	—	`conf`	Answering Science Exam Questions Using Query Reformulation with Background Knowledge. AKBC Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
2019	J	`jnl`	Heuristics for Interpretable Knowledge Graph Contextualization. CoRR Kshitij P. Fadnis, Kartik Talamadupula, Pavan Kapanipathi, Haque Ishfaq, Salim Roukos, Achille Fokoue
2019	J	`jnl`	High-Fidelity Vector Space Models of Structured Data. CoRR Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth D. Forbus, Michael Witbrock
2019	A*	`conf`	Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
2019	J	`jnl`	Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. CoRR 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	J	`jnl`	Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher W. Geib, Odd Erik Gundersen, Seán Ó hÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni
2018	—	`conf`	A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL 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	J	`jnl`	A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR 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	—	`conf`	An Interface for Annotating Science Questions. EMNLP (Demonstration) 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
2018	J	`jnl`	Answering Science Exam Questions Using Query Rewriting with Background Knowledge. CoRR Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
2018	J	`jnl`	Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
2018	—	`ch.`	Twitris: A System for Collective Social Intelligence. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Amit P. Sheth, Hemant Purohit, Gary Alan Smith, Jeremy Brunn, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Wenbo Wang
2017	J	`jnl`	A Measure for Dialog Complexity and its Application in Streamlining Service Operations. CoRR Q. Vera Liao, Biplav Srivastava, Pavan Kapanipathi
2017	—	`conf`	Domain-specific hierarchical subgraph extraction: A recommendation use case. IEEE BigData Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit P. Sheth
2017	J	`jnl`	Performance of natural language classifiers in a question-answering system. IBM J. Res. Dev. Raimo Bakis, Daniel P. Connors, Parijat Dube, Pavan Kapanipathi, Abhishek Kumar, Dmitry Malioutov, Chitra Venkatramani
2016	—	`conf`	Harnessing relationships for domain-specific subgraph extraction: A recommendation use case. IEEE BigData Sarasi Lalithsena, Pavan Kapanipathi, Amit P. Sheth
2016	J	`jnl`	Semantic Filtering for Social Data. IEEE Internet Comput. Amit P. Sheth, Pavan Kapanipathi
2015	—	`conf`	Are We Really Standing on the Shoulders of Giants? NoISE@ESWC Raghava Mutharaju, Pavan Kapanipathi
2015	—	`conf`	Entity Recommendations Using Hierarchical Knowledge Bases. KNOW@LOD Siva Kumar Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain, Amit P. Sheth
2015	B	`conf`	Knowledge Enabled Approach to Predict the Location of Twitter Users. ESWC Revathy Krishnamurthy, Pavan Kapanipathi, Amit P. Sheth, Krishnaprasad Thirunarayan
2014	—	`conf`	Hierarchical interest graph from tweets. WWW (Companion Volume) Pavan Kapanipathi, Prateek Jain, Chitra Venkatramani, Amit P. Sheth
2014	—	`ch.`	Twitris: A System for Collective Social Intelligence. Encyclopedia of Social Network Analysis and Mining Amit P. Sheth, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary A. Smith, Wenbo Wang
2014	B	`conf`	User Interests Identification on Twitter Using a Hierarchical Knowledge Base. ESWC Pavan Kapanipathi, Prateek Jain, Chitra Venkatramani, Amit P. Sheth
2013	—	`conf`	Characterising Concepts of Interest Leveraging Linked Data and the Social Web. Web Intelligence Fabrizio Orlandi, Pavan Kapanipathi, Amit P. Sheth, Alexandre Passant
2011	—	`conf`	Personalized Filtering of the Twitter Stream. SPIM Pavan Kapanipathi, Fabrizio Orlandi, Amit P. Sheth, Alexandre Passant
2011	—	`conf`	Privacy-Aware and Scalable Content Dissemination in Distributed Social Networks. ISWC (2) Pavan Kapanipathi, Julia Anaya, Amit P. Sheth, Brett Slatkin, Alexandre Passant
2010	—	`conf`	Linked Open Social Signals. Web Intelligence Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth
2010	—	`conf`	Twarql: tapping into the wisdom of the crowd. I-SEMANTICS Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi