Latest Research in Computation and Language
39 research papers · 2026 median publication year
Top Research Topics in Computation and Language
- Computation and Language — 7 papers
- Biomedical Text Mining and Ontologies — 7 papers
- Computer Vision and Pattern Recognition — 7 papers
- Artificial Intelligence — 5 papers
- Machine Learning — 3 papers
- Sound — 1 papers
- Multimodal Machine Learning Applications — 1 papers
- Topic Modeling — 1 papers
- Computational Engineering, Finance, and Science — 1 papers
- Information Retrieval — 1 papers
Highest-Cited Papers
- Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning
- A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI
- A Cross-Lingual Acoustic Disease-Alignment Framework for Respiratory Health Assessment from Spontaneous Speech
- ACCELERATING PATHOLOGY REPORT DIGITIZATION: A MULTI-ENGINE OCR AND LLM FRAMEWORK FOR HEALTHCARE APPLICATIONS
- ACCELERATING PATHOLOGY REPORT DIGITIZATION: A MULTI-ENGINE OCR AND LLM FRAMEWORK FOR HEALTHCARE APPLICATIONS
- ModaLens: Measuring Image Sensitivity in Report-Conditioned Medical VLMs
- Corpus Characterization and Inverse Constitutional Fine-Tuning for Style-Aware Radiology Reports
- From 2D Vision–Language Models to Volumetric Medical AI: Large Language Models and Foundation Models for 3D Medical Imaging
- MARCUS: An agentic, multimodal vision-language model for cardiac diagnosis and management
- A framework for extraction of clinical information from radiological mammography reports using large language models and retrieval augmented generation
- Catellect-VL-2B: A Vision-Language Model for Edge-Based Feline Behavior Understanding
- Hybrid Stacking Approach for Biomedical Full-Text Classification: Combining ILP with Refinement Operators and Propositional Learners
- MedDeID enables locally governed clinical-text de-identification from real or synthetic training data
- STSG-VQA: Evidence-Grounded Temporal Question Answering from Surgical Spatio-Temporal Scene Graphs
- OntologyBench: Can Dense Retrieval Satisfy Structured Biomedical Constraints?
- Enhancing Healthcare Search Intent Recognition with Query Representation Learning and Session Context
- Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models
- A multitask framework for automated multi-frame right upper quadrant ultrasound interpretation and clinical decision support
- Asking the Right Questions: Ontology-Grounded Interpretable Embeddings for Biomedical Text
- Scientific Domain Knowledge Improves Vision-Language Fundus Models