collaborators

12 papers

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.AI2026

Stashbird: Episode-Grounded Lifecycle Reconciliation for Conversational Agent Memory

Chidera Biringa, Lucas Yannul, Xiaowen Wang +5

AI agents require memory that remains consistent as conversational evidence changes. We present Stashbird, an episode-grounded memory system that uses provenance to reconcile deriv…

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

CAST: Critique-Aware Supervision for Training Reliable Long-Horizon Tool-Calling Agents

Amir Saeidi, Zehua Zhang, Rishitosh Singh +6

Large language model (LLM) agents are increasingly deployed in long-horizon, interactive, and stateful environments. In these settings, a single wrong action, such as refunding the…

cs.AI2026

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…

cs.LG2026

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…

cs.AI2026

GamED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation

Shiven Agarwal, Yash Shah, Ashish Raj Shekhar +2

We introduce GamEDAI, a hierarchical multi-agent framework that transforms instructor-provided questions into fully playable, pedagogically grounded educational games validated thr…

cs.AI2026

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…

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.AI2026

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…

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…