Akshay S. Chaudhari

4 papers · 2022–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (11) 👥 Mega-Team · Squad

Venues

ACL (2) AAAI (1) MIDL (1)

Top co-authors

Louis Blankemeier (2) Julian Z. Genkins (1) Nima Aghaeepour (1) Christian Bluethgen (1) Sid Kiblawi (1) Joseph S. Preston (1) Keith E. Morse (1) Eduardo Reis (1) Alison Callahan (1) Jean-Benoit Delbrouck (1)

Research topics

Machine Learning (3) Application Areas (3) Natural Language Processing (2) Learning Types · Machine Learning (2) Resources & Methods (2) Deep Learning (1) Healthcare & Medicine (1) Applications (1) Clinical (1) Core Methods (1) Generation (1) Learning Types · Deep Learning (1)

Keywords

large language model (2) self-supervised learning (1) medical imaging (1) data augmentation (1) natural language generation (1) image reconstruction (1) instruction following (1) semantic similarity (1) parameter-efficient fine-tuning (1) electronic health record (1) in-context example (1) radiology report (1) biomedical named entity recognition (1) clinical text (1) radiology report summarization (1) consistency training (1) data programming (1) physics-driven model (1) domain adaptation (1) span recommendation (1)

Papers

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records AAAI 2024 Interactive Span Recommendation for Biomedical Text ACL 2023 RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models ACL 2023 VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction MIDL 2022