Pavan Kapanipathi

Orcid: 0000-0003-0494-3279

According to our database1, Pavan Kapanipathi authored at least 66 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls.
CoRR, 2024

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
CoRR, 2024

Granite Code Models: A Family of Open Foundation Models for Code Intelligence.
CoRR, 2024

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.
CoRR, 2024

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Learning to Guide a Saturation-Based Theorem Prover.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Formally Specifying the High-Level Behavior of LLM-Based Agents.
CoRR, 2023

Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency.
CoRR, 2023

Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases.
CoRR, 2022

A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases.
CoRR, 2022

Zero-shot Entity Linking with Less Data.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022


X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Learning to Transpile AMR into SPARQL.
CoRR, 2021

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering.
CoRR, 2021

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases.
CoRR, 2021

Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion.
CoRR, 2021

Logic Embeddings for Complex Query Answering.
CoRR, 2021

Generative Relation Linking for Question Answering over Knowledge Bases.
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021


Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Type-augmented Relation Prediction in Knowledge Graphs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.
CoRR, 2020

Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks.
CoRR, 2020

Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge.
CoRR, 2020

Reading Comprehension as Natural Language Inference: A Semantic Analysis.
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

Leveraging Semantic Parsing for Relation Linking over Knowledge Bases.
Proceedings of the Semantic Web - ISWC 2020, 2020

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Heuristics for Interpretable Knowledge Graph Contextualization.
CoRR, 2019

A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies.
CoRR, 2019

High-Fidelity Vector Space Models of Structured Data.
CoRR, 2019

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence.
AI Mag., 2019

Answering Science Exam Questions Using Query Reformulation with Background Knowledge.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Twitris: A System for Collective Social Intelligence.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Answering Science Exam Questions Using Query Rewriting with Background Knowledge.
CoRR, 2018

An Interface for Annotating Science Questions.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017
Performance of natural language classifiers in a question-answering system.
IBM J. Res. Dev., 2017

A Measure for Dialog Complexity and its Application in Streamlining Service Operations.
CoRR, 2017

Domain-specific hierarchical subgraph extraction: A recommendation use case.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Semantic Filtering for Social Data.
IEEE Internet Comput., 2016

Harnessing relationships for domain-specific subgraph extraction: A recommendation use case.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Are We Really Standing on the Shoulders of Giants?
Proceedings of the Workshop on Negative or Inconclusive Results in Semantic Web, 2015

Knowledge Enabled Approach to Predict the Location of Twitter Users.
Proceedings of the Semantic Web. Latest Advances and New Domains, 2015

Entity Recommendations Using Hierarchical Knowledge Bases.
Proceedings of the 4th Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data co-located with 12th Extended Semantic Web Conference (ESWC 2015), 2015

2014
Twitris: A System for Collective Social Intelligence.
Encyclopedia of Social Network Analysis and Mining, 2014

Hierarchical interest graph from tweets.
Proceedings of the 23rd International World Wide Web Conference, 2014

User Interests Identification on Twitter Using a Hierarchical Knowledge Base.
Proceedings of the Semantic Web: Trends and Challenges - 11th International Conference, 2014

2013
Characterising Concepts of Interest Leveraging Linked Data and the Social Web.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

2011
Personalized Filtering of the Twitter Stream.
Proceedings of the second Workshop on Semantic Personalized Information Management: Retrieval and Recommendation 2011, 2011

Privacy-Aware and Scalable Content Dissemination in Distributed Social Networks.
Proceedings of the Semantic Web - ISWC 2011, 2011

2010
Linked Open Social Signals.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Twarql: tapping into the wisdom of the crowd.
Proceedings of the Proceedings the 6th International Conference on Semantic Systems, 2010


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