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Abhijit Chakraborty

12 papers hereh-index 212 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author7
  • middle author4

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.AI4
  • cs.SE2
  • cs.LG1
same name
  • Abhijit Chakraborty — 20 papers, h 12
  • Abhijit Chakraborty — 8 papers, h 3
  • Abhijit Chakraborty — 3 papers, h 1
  • Abhijit Chakraborty — 3 papers, h 1
  • Abhijit Chakraborty — 2 papers, h 2
  • Abhijit Chakraborty — 2 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.AIShow all

4 papers · 1 filter

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.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.AI2026

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…

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…

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