DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution (2026 · 1 citation)
The paper addresses mixed-authorship segmentation : locating the points in a text where writing switches between a human and an AI model.
microCLIP: Unsupervised CLIP Adaptation via Coarse-Fine Token Fusion for Fine-Grained Image Classification (2026 · 1 citation)
The paper tackles adapting CLIP to fine-grained image classification without any target labels. In this setting, pseudo-labels depend on small local details that CLIP's global [CLS] token tends to overlook. Earlier unsupervised adaptation (UA) methods such as LaFTer and DPA enrich the text side with LLM descriptions…
BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs (2026)
Biomedical vision-language models such as BioMedCLIP work well on average, but they lose accuracy on hard imaging modalities.
GCA Framework: A GCC Countries–Grounded Dataset and Agentic Pipeline for Climate Decision Support (2026)
General-purpose LLMs handle climate questions about the Gulf Cooperation Council (GCC) states poorly. They lack regional knowledge, misread numbers in climate plots, and struggle to call geospatial or forecasting tools correctly. The authors address this with the GCA framework, which has two parts. The first is…

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026