Pavan Kapanipathi
5 papers in the PaperMetrix corpus
Papers by this author
-
Type-augmented Relation Prediction in Knowledge Graphs
2020 · arXiv (Cornell University)
Knowledge graphs (KGs) are of great importance to many real world applications, but they generally suffer from incomplete information in the form of missing relations between entities. Knowledge graph completion (also known as relation prediction) …
-
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases
2022 · arXiv (Cornell University)
Knowledge bases (KBs) are often incomplete and constantly changing in practice. Yet, in many question answering applications coupled with knowledge bases, the sparse nature of KBs is often overlooked. To this end, we propose a …
-
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
2023 · arXiv (Cornell University)
We introduce Logical Offline Cycle Consistency Optimization (LOCCO), a scalable, semi-supervised method for training a neural semantic parser. Conceptually, LOCCO can be viewed as a form of self-learning where the semantic parser being trained is …
-
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
2024 · arXiv (Cornell University)
The resurgence of autonomous agents built using large language models (LLMs) to solve complex real-world tasks has brought increased focus on LLMs' fundamental ability of tool or function calling. At the core of these agents, …
-
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
2019 · Proceedings of the AAAI Conference on Artificial Intelligence
Natural Language Inference (NLI) is fundamental to many Natural Language Processing (NLP) applications including semantic search and question answering. The NLI problem has gained significant attention due to the release of large scale, challenging datasets. …