Genolator is presented, a multimodal large language model that integrates embeddings from DNA sequences, amino acid sequences, and protein structures with natural language queries and represents a step towards bridging genomic code and human language through the integration of a multimodal LLM.
M. Danner, Tanhim Islam, M. Begemann et al.· Genome Biology· 0 citations
Evaluating a diverse panel of contemporary models under three administration protocols, it is shown that a naive harness, with a fixed token budget and an unaudited parser, manufactures failing workers out of competent ones, misreading a model that answers essentially every item correctly as badly inaccurate, answer-bi...
Carlos Toxtli, M. Delaflor· Proceedings of the 2026 ACM...· 0 citations
This work proposes symbolic separation: a deep agent reasons freely but may act on data only through an ontology-constrained Virtual Knowledge Graph with deterministic pre-execution validation, like a tool API's interface contract, but which turns a complex question into one validated graph traversal instead of LLM-inf...
Baibek Davletiyarov, Junaid Ahmed Khan, Andrea Bartolini· 0 citations
BrainFocus is proposed, a reliable EEG-guided efficient VLM framework for VQA that improves VQA accuracy and demonstrates that EEG can guide efficient VLM inference even when its semantic decoding is imperfect.
Yi-Hui Peng, Guorui Lu, Qin-Yu Chen· 0 citations
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TecoPrompt, a closed-loop robust prompt-learning framework that revisits optimal transport pseudo-labeling from a temporal perspective, employs an entropic OT plan in the CLIP semantic space to obtain globally consistent label candidates.
Z. Shao, Hao-Wen Hua, Jia-Xin Zhang et al.· 0 citations
Results indicate that current LLMs are substantially more reliable at detecting broad collaboration opportunities than at identifying their specific types and role directions.
Tian Du, Tian-Tong Wu, Ya-Fei Wang et al.· 0 citations
Probe-VAD is proposed, an ordinal binary-probing framework that directly probes severity preferences from a frozen VLM, providing a simple interface for translating frozen VLM visual understanding into continuous, rank-sensitive anomaly scores without task-specific training or caption-based compression.
Jia-Wei Gu, Qi-Lin Zhao, Teng-Kuo Guo et al.· 1 citation
MASA (Multimodal-LLM-Anchored Semantic Adaptation), which complements model-internal evidence with structured semantic descriptions from a frozen multimodal large language model (MLLM) to limit inference cost.
Zhen-Bin Wang, Lei Zhang, Li-Tuan Wang et al.· 0 citations
FHIR has successfully catalyzed widespread technical innovation and serves as the foundation for advanced clinical applications, however, a significant translational gap persists and future efforts should expand beyond technical development.
Wafae Abbaoui, S. Ziti, Sara Retal· International Journal of Med...· 0 citations
It is found that datasets with more missing metadata receive fewer downstream citations and have fewer resolvable connections to other datasets, suggesting that geographic metadata is a more reliable basis for cross-disciplinary interoperability than keyword vocabularies, which often remain discipline-specific.
Differences in brain metastasis development between EGFR L858R and Ex19Del mutations appeared to be mitigated among patients undergoing osimertinib compared with early-generation TKIs, representing an important systems bioengineering approach.
Ameya Patel, Victor Lee, A. H. Nassar et al.· American Journal of Clinical...· 0 citations
A novel training framework that enhances counterfactual contrastive learning for VQA and introduces a three-stage curriculum for stable multi-objective optimization, an enhanced Batch-Contrastive loss for more discriminative feature learning and two novel regularizers.
Truong-Binh Duong, T. Tran, Ngoc-Thao Nguyen et al.· 0 citations
