Praveenkumar Kanithi

4 papers · 2024–2026 · 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15)

Venues

EMNLP (2) ACL (1) MIDL (1)

Top co-authors

Marco AF Pimentel (4) Clément Christophe (3) Ronnie Rajan (3) Tathagata Raha (3) Shadab Khan (2) Muhammad Umar Salman (2) Ahmed Al Mahrooqi (2) Svetlana Maslenkova (2) Avani Gupta (1) Prateek Munjal (1)

Research topics

Healthcare & Medicine (3) Natural Language Processing (3) Clinical (3) Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Applications (2) Resources & Methods (2) Application Areas (1) Architectures (1) Core AI (1) Generation (1) Learning Paradigms (1) Learning Types (1) Models (1)

Keywords

semantic segmentation (1) vision transformer (1) domain adaptation (1) prompt engineering (1) medical image classification (1) instruction fine-tuning (1) bias analysis (1) healthcare application (1) vision foundation model (1) reference-free evaluation (1) medical domain (1) chest x-ray (1) radiology report generation (1) demographic bia (1) text-to-text generation (1) continuous pretraining (1) semantic fidelity (1) large language model (1) information fidelity (1) dataset transparency (1)

Papers

Cross-Examination Framework: A Task-Agnostic Diagnostic for Information Fidelity in Text-to-Text Generation ACL 2026 Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency EMNLP 2025 Empirical Analysis of Scaling Vision Foundation Models for Chest X-rays MIDL 2025 Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs. EMNLP 2024