12 papers
Separate Field Scoring Protects Unused Tools When Agents Pool Tool-Use Experience
Abhijit Chakraborty
Agents that call tools from a shared catalog can pool what they learn about which tool serves which request. We measure what pooled usage examples do to tool retrieval, reporting s…
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…
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…
CaRE Compute-aware Remasking Evaluation Protocol for Masked Diffusion Language Models
Yash Shah, Abhijit Chakraborty, Vivek Gupta
Masked diffusion language models (MDLMs) are advancing rapidly, yet the evaluation standards needed to reliably interpret their progress have not kept pace. Despite MDLMs becoming…
TIMEGATE: Sustainable Time-Boxed Promotion Gates for Continual ML Adaptation Under Resource Constraints
Abhijit Chakraborty, Suddhasvatta Das, Yash Shah +2
As machine learning(ML) systems evolve to continual adaptation, each re-training cycle uses compute, annotation, and energy. We introduce TIMEGATE, a policy layer managing adaptati…
OSCAR: Orchestrated Self-verification and Cross-path Refinement
Yash Shah, Abhijit Chakraborty, Naresh Kumar Devulapally +2
Diffusion language models (DLMs) expose their denoising trajectories, offering a natural handle for inference-time control; accordingly, an ideal hallucination mitigation framework…
JobMatchAI-An Intelligent Job Matching Platform Using Knowledge Graphs, Semantic Search and Explainable AI
Mayank Vyas, Abhijit Chakraborty, Vivek Gupta
Recruiters and job seekers rely on search systems to navigate labor markets, making candidate matching engines critical for hiring outcomes. Most systems act as keyword filters, fa…
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…
Synapse: Federated Tool Routing via Typed Compendium Artifacts
Abhijit Chakraborty, Yash Shah, Vivek Gupta
The unit of collaboration in federated learning determines what guarantees are even expressible. Flat units like weights, prompts, raw examples, carry no type signature on which pr…
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…
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…
Machine Learning Operations: A Mapping Study
Abhijit Chakraborty, Suddhasvatta Das, Kevin Gary
Machine learning and AI have been recently embraced by many companies. Machine Learning Operations, (MLOps), refers to the use of continuous software engineering processes, such as…