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Amritesh Banerjee Undergraduate AI Researcher at the Manning College of Information and Computer Sciences, University of Massachusetts Amherst. My research investigates the structural integrity of autonomous systems. I focus on AI evaluation, collaborative language models, clinical graph machine learning, and biomedical image refinement. I build scalable machine learning architectures to quantify and guarantee the reliability of edge-deployed models in high-stakes environments.
amriteshbane [at] umass [dot] edu |
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Publications* Equal contribution | † Corresponding author |
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Invocation-Level Reliability of Tool-Using Agents
Noorain, A.*, Mohanty, S.*, Banerjee, A., Dasgupta, A.† VerifyAgents Workshop, NeurIPS 2026 |
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VoxelSynth3D: Interpretable Volumetric Image-Domain Metal Artifact Reduction with a Paired Synthetic CLINIC Benchmark
Banerjee, A., Basit, A., Joseph, R. R., Innan, N., Shafique, M. IEEE BHI, 2026 |
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Measuring Cross-Task Behavioral Consistency in Language Model Agents
Raichura, P.*, Banerjee, A.* AIMS Workshop, COLM 2026 and IEEE MIT URTC, 2026 |
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Spectral Dynamics of Semantic Drift in Clinical Multi-Agent Language Model Networks
Banerjee, A. arXiv Preprint (cs.MA / cs.AI), 2026 |
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Semantic Polarization in U.S. Politics: A Computational Analysis of Republican and Democratic Speeches
Banerjee, A., Joneja, B. The Convergence Journal, 2026 |
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Python-Driven CT Scan Image Refinement
Banerjee, A.*, Roplekar, S.* Researchory, 2025 |
Books |
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Introduction to Python Programming
Banerjee, A., 2020 |
Experience & Education |
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| 2026 — Present |
Research Intern, BioNLP Lab University of Massachusetts Amherst |
| 2026 — Present |
Research Intern, eBrain Lab New York University Abu Dhabi |
| 2026 — 2030 |
BSc. Information and Computer Sciences University of Massachusetts Amherst |
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