activity
20202024
most citedLogical Neural Networks

84 citations · 108 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2024★ 1 cited

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks

Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal +23

Large language models (LLMs) have recently shown tremendous promise in serving as the backbone to agentic systems, as demonstrated by their performance in multi-faceted, challengin…

cs.CL2024

An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants

G P Shrivatsa Bhargav, Sumit Neelam, Udit Sharma +10

We present an approach to build Large Language Model (LLM) based slot-filling system to perform Dialogue State Tracking in conversational assistants serving across a wide variety o…

cs.AI2022★ 2 cited

Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases

Sumit Neelam, Udit Sharma, Sumit Bhatia +5

Resource Description Framework (RDF) and Property Graph (PG) are the two most commonly used data models for representing, storing, and querying graph data. We present Expressive Re…

cs.CL2022★ 1 cited

Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases

Nithish Kannen, Udit Sharma, Sumit Neelam +4

Knowledge Base Question Answering (KBQA) systems have the goal of answering complex natural language questions by reasoning over relevant facts retrieved from Knowledge Bases (KB).…

cs.CL2022★ 7 cited

A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases

Sumit Neelam, Udit Sharma, Hima Karanam +22

Knowledge Base Question Answering (KBQA) tasks that involve complex reasoning are emerging as an important research direction. However, most existing KBQA datasets focus primarily…

cs.CL2021★ 4 cited

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases

Sumit Neelam, Udit Sharma, Hima Karanam +21

Knowledge Base Question Answering (KBQA) tasks that in-volve complex reasoning are emerging as an important re-search direction. However, most KBQA systems struggle withgeneralizab…