Pavan Kapanipathi
26 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(19)
Core AI
(18)
Natural Language Processing
(16)
Applications
(13)
Deep Learning
(11)
Machine Learning
(11)
Knowledge & Reasoning
(9)
Representation
(8)
Learning Types Β· Deep Learning
(6)
Core Methods
(5)
Learning Paradigms
(5)
Learning Types Β· Machine Learning
(5)
Reinforcement Learning
(4)
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Reasoning
(4)
Keywords
knowledge graph
(5)
knowledge base question answering
(5)
question answering
(4)
natural language inference
(4)
reinforcement learning
(4)
science question
(3)
semantic parsing
(3)
large language model
(3)
knowledge base
(3)
rule learning
(3)
text-based game
(3)
function calling
(2)
neuro-symbolic reasoning
(2)
logical form
(2)
textual entailment
(2)
multi-task learning
(2)
tool use
(2)
commonsense knowledge
(2)
machine reading comprehension
(2)
abstract meaning representation
(2)
Papers
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
EMNLP 2025
R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory
ACL 2025
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs
ACL 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
EMNLP 2024
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing
ACL 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
ACL 2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
ACL 2023
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge
EMNLP 2023
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering
EMNLP 2022
Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules
EMNLP 2022
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases
EMNLP 2022
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization
EMNLP 2022
Zero-shot Entity Linking with Less Data
NAACL 2022
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
AAAI 2021
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering
AAAI 2021
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering
ACL 2021
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations
ACL 2021
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering
ACL 2021
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization
NAACL 2021
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
AAAI 2021
Type-augmented Relation Prediction in Knowledge Graphs
AAAI 2021
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
AAAI 2020
Reading Comprehension as Natural Language Inference:A Semantic Analysis
COLING 2020
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
AAAI 2019
An Interface for Annotating Science Questions
EMNLP 2018
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
ACL 2018