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20242026
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cs.CL2026

JoinGR: Learning to Traverse Join Graphs for Table Retrieval

Sandipan De, Abhijit Chakraborty, Sambaran Bandyopadhyay +1

Retrieving the right tables is a prerequisite for Text-to-SQL over realistic databases. Dense table retrievers rank schema elements independently, but this ignores a key source of…

cs.CL2026

Typed Federated Artifacts for the Agentic Web:Sharing Tool-Routing Knowledge Across Frozen,Heterogeneous LLM Agents

Abhijit Chakraborty, Ni Trieu, Vivek Gupta

An open, networked web will allow agents to run frozen models from multiple vendors, keep their history private, and teach each other which tool to call and when. Flat text (prompt…

cs.CL2026

DeALOG: Decentralized Multi-Agents Log-Mediated Reasoning Framework

Abhijit Chakraborty, Ashish Raj Shekhar, Shiven Agarwal +1

Complex question answering across text, tables and images requires integrating diverse information sources. A framework supporting specialized processing with coordination and inte…

cs.CL2025

Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE

Abhijit Chakraborty, Chahana Dahal, Ashutosh Balasubramaniam +2

We revisit the efficacy of simple, real-valued embedding models for knowledge graph completion and introduce RelatE, an interpretable and modular method that efficiently integrates…

cs.CL2025

Federated Retrieval-Augmented Generation: A Systematic Mapping Study

Abhijit Chakraborty, Chahana Dahal, Vivek Gupta

Federated Retrieval-Augmented Generation (Federated RAG) combines Federated Learning (FL), which enables distributed model training without exposing raw data, with Retrieval-Augmen…