Cover Image

BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Singha, Mainak, Gupta, Tanisha, Jha, Ankit, Khan, Muhammad Haris, Ghosh, Sayantani, Banerjee, Biplab
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AD-CLIP: Adapting Domains in Prompt Space Using CLIP
by: Singha, Mainak, et al.
Published: (2023)

OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
by: C, Mohamad Hassan N, et al.
Published: (2025)

Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning
by: Singha, Mainak, et al.
Published: (2024)

MMLGNet: Cross-Modal Alignment of Remote Sensing Data using CLIP
by: Chaudhary, Aditya, et al.
Published: (2026)

Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
by: Singha, Mainak, et al.
Published: (2024)

CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery
by: Rongali, Sai Bhargav, et al.
Published: (2024)

GraphVL: Graph-Enhanced Semantic Modeling via Vision-Language Models for Generalized Class Discovery
by: Solanki, Bhupendra, et al.
Published: (2024)

FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models
by: Singha, Mainak, et al.
Published: (2025)

bi-modal textual prompt learning for vision-language models in remote sensing
by: Kashyap, Pankhi, et al.
Published: (2026)

COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation
by: Monga, Munish, et al.
Published: (2024)

FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing
by: Gunduboina, Hariseetharam, et al.
Published: (2025)

Reconstruction Guided Few-shot Network For Remote Sensing Image Classification
by: Jaiswal, Mohit, et al.
Published: (2026)

SDHSI-Net: Learning Better Representations for Hyperspectral Images via Self-Distillation
by: Singh, Prachet Dev, et al.
Published: (2026)

GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing
by: Hasan, Maram, et al.
Published: (2026)

CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation
by: Singha, Mainak, et al.
Published: (2026)

In the Era of Prompt Learning with Vision-Language Models
by: Jha, Ankit
Published: (2024)

HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
by: Rathore, Vaibhav, et al.
Published: (2025)

AdaptPrompt: Parameter-Efficient Adaptation of VLMs for Generalizable Deepfake Detection
by: Jiang, Yichen, et al.
Published: (2025)

Federated Cross-Modal Style-Aware Prompt Generation
by: Prasad, Suraj, et al.
Published: (2025)

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval
by: Hossain, Md Aminur, et al.
Published: (2026)

Discovery of a 13-Sharpe OOS Factor: Drift Regimes Unlock Hidden Cross-Sectional Predictability
by: Singha, Mainak
Published: (2025)

O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models
by: Sharifdeen, Ashshak, et al.
Published: (2025)

MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage
by: Khan, Ufaq, et al.
Published: (2026)

Divergent Domains, Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading
by: Chokuwa, Sharon, et al.
Published: (2024)

HQ-JEPA: Hybrid Quantum Joint-Embedding Predictive Architecture for Cross-Modal Remote Sensing Representation Learning
by: Hossain, Md Aminur, et al.
Published: (2026)

Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization
by: Khan, Adnan, et al.
Published: (2024)

Robust and Label-Efficient Deep Waste Detection
by: Abid, Hassan, et al.
Published: (2025)

Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
by: Palit, Sanchar, et al.
Published: (2024)

Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering
by: Rongali, Sai Bhargav, et al.
Published: (2024)

vMFCoOp: Towards Equilibrium on a Unified Hyperspherical Manifold for Prompting Biomedical VLMs
by: Shao, Minye, et al.
Published: (2025)

CountZES: Counting via Zero-Shot Exemplar Selection
by: Siddiqui, Muhammad Ibraheem, et al.
Published: (2025)

MyVLM: Personalizing VLMs for User-Specific Queries
by: Alaluf, Yuval, et al.
Published: (2024)

Pixels Don't Lie (But Your Detector Might): Bootstrapping MLLM-as-a-Judge for Trustworthy Deepfake Detection and Reasoning Supervision
by: Kuckreja, Kartik, et al.
Published: (2026)

Calibration-Aware Prompt Learning for Medical Vision-Language Models
by: Basu, Abhishek, et al.
Published: (2025)

BMIP: Bi-directional Modality Interaction Prompt Learning for VLM
by: Lv, Song-Lin, et al.
Published: (2025)

Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
by: Deria, Ankan, et al.
Published: (2025)

Noise-Tolerant Few-Shot Unsupervised Adapter for Vision-Language Models
by: Ali, Eman, et al.
Published: (2023)

Multi-modal Generation via Cross-Modal In-Context Learning
by: Kumar, Amandeep, et al.
Published: (2024)

Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach
by: Saeed, Muhammad Saad, et al.
Published: (2024)

Not All Modalities Are Equal: Instruction-Aware Gating for Multimodal Videos
by: Ding, Bonan, et al.
Published: (2026)