1 citations · 1 across the 6 of their papers we have counts for
6 papers
ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs
Ashutosh Hathidara, Sai Shruthi Sistla, Sebastian Schreiber +1
Large language models deployed as agents over large tool catalogs face a critical tool-retrieval bottleneck. As embedding-based retrieval approaches rely on compact encoders that m…
Planning Agents on an Ego-Trip: Leveraging Hybrid Ego-Graph Ensembles for Improved Tool Retrieval in Enterprise Task Planning
Sahil Bansal, Sai Shruthi Sistla, Aarti Arikatala +1
Effective tool pre-selection via retrieval is essential for AI agents to select from a vast array of tools when identifying and planning actions in the context of complex user quer…
Towards Practical GraphRAG: Efficient Knowledge Graph Construction and Hybrid Retrieval at Scale
Congmin Min, Sahil Bansal, Joyce Pan +3
We propose a scalable and cost-efficient framework for deploying Graph-based Retrieval-Augmented Generation (GraphRAG) in enterprise environments. While GraphRAG has shown promise…
Domain specific ontologies from Linked Open Data (LOD)
Rosario Uceda-Sosa, Nandana Mihindukulasooriya, Atul Kumar +2
Logical and probabilistic reasoning tasks that require a deeper knowledge of semantics are increasingly relying on general purpose ontologies such as Wikidata and DBpedia. However,…
Argument-Aware Approach To Event Linking
I-Hung Hsu, Zihan Xue, Nilay Pochh +4
Event linking connects event mentions in text with relevant nodes in a knowledge base (KB). Prior research in event linking has mainly borrowed methods from entity linking, overloo…
Using Image Captions and Multitask Learning for Recommending Query Reformulations
Gaurav Verma, Vishwa Vinay, Sahil Bansal +3
Interactive search sessions often contain multiple queries, where the user submits a reformulated version of the previous query in response to the original results. We aim to enhan…