Pavan Kapanipathi
29 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+14 more ↓ Show less ↑
π Cross-Pollinator (12) π Academic Marathon (7) π§ Keyword Pioneer π Conference Polyglot (6) π Renaissance Researcher (6)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(56)
π¬
Deep Specialist
(10)
π€
Dynamic Duo
(17)
π
Keyword Champion
(6)
π§¬
Topic Evolution
π₯
Mega-Team
(30)
π
Trend Setter
π₯
Unstoppable
(8)
β‘
Prolific Year
(5)
π
Conference Pioneer
ποΈ
Keyword Collector
(124)
π
Century Club
(29)
Conferences
ACL (9)
EMNLP (8)
AAAI (6)
IJCNLP (3)
NAACL (2)
COLING (1)
Top co-authors
Keywords
knowledge base question answering
(6)
reinforcement learning
(5)
knowledge graph
(5)
question answering
(4)
semantic parsing
(4)
text-based game
(4)
natural language inference
(4)
abstract meaning representation
(3)
science question
(3)
rule learning
(3)
large language model
(3)
knowledge base
(3)
relation linking
(3)
commonsense knowledge
(3)
logical form
(2)
textual entailment
(2)
function calling
(2)
multi-task learning
(2)
machine reading comprehension
(2)
graph representation
(2)
Papers
R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory
ACL 2025
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
EMNLP 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
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge
EMNLP 2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
ACL 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
ACL 2023
Zero-shot Entity Linking with Less Data
NAACL 2022
Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules
EMNLP 2022
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization
EMNLP 2022
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases
EMNLP 2022
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering
EMNLP 2022
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering
AAAI 2021
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
AAAI 2021
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
AAAI 2021
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering
IJCNLP 2021
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering
ACL 2021
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations
ACL 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
IJCNLP 2021
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering
IJCNLP 2021
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization
NAACL 2021
Type-augmented Relation Prediction in Knowledge Graphs
AAAI 2021
Reading Comprehension as Natural Language Inference:A Semantic Analysis
COLING 2020
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
AAAI 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