All Competitors

Context-aware protein sequence search, where a genomic language model fine-tuned for retrieval lets neighboring genes shape the query embedding.

Text-guided protein design that generates functional sequences from natural language prompts through a contrastive protein-text embedding space.

Audio-language foundation model for bioacoustics that answers natural-language questions about animal sounds, with zero-shot species classification.

Controllable protein sequence generator adapted from Llama-3-8B with LoRA, prompted in plain English to emit enzymes from ten property classes.

Compact protein sequence generator adapted from Phi-3-mini with LoRA, emitting enzymes for ten named property classes from a plain-English prompt.

Chemical language model generating SMILES on a recurrent xLSTM backbone, designing within an unseen molecular domain from a few in-context examples.

Chemical language model for molecular property prediction, pretrained on PubChem SMILES by masking whole functional groups rather than random tokens.

SMILES transformer pretrained to predict 113 RDKit molecular descriptors, giving embeddings that carry physicochemical properties into ADMET models.

Long-context protein language model on a bidirectional Mamba backbone, outperforming ESM-2 by up to 30% at matched training token budgets.

Protein language model that explains single-site mutation effects in natural language and proposes new mutants from free-text instructions.

Multimodal RNA chat model pairing a frozen RNA-FM encoder with a Llama-3 8B backbone to answer natural-language questions about a submitted sequence.

Text-guided molecule generation by linking a pretrained scientific text encoder to a frozen molecular language model with a cross-attention adapter.

Region-aware bilingual medical multimodal LLM that handles image- and region-level vision-language tasks across eight imaging modalities.

Genomic sequence classification answered through natural-language prompts by one GPT-2 pretrained on mixed DNA and English under one BPE vocabulary.

Contrastive transcriptome-text model for free-text search, zero-shot cell annotation and natural-language chat over bulk and single-cell RNA-seq.

3D CT vision-language model that drafts radiology reports, answers questions about volumes, and screens for disease from a masked-autoencoder encoder.

Vision-language chat model for 3D chest CT volumes, answering free-form questions and drafting radiology report findings from a frozen 3D encoder.

Vision-language assistant that reads a whole gigapixel pathology slide, answering diagnostic questions and writing slide-level descriptions.

Joint embedding space for common SNPs and free-text clinical concepts, aligned by contrastive learning over GWAS, biobank and knowledge-graph pairs.

Chemical language model that translates IR, UV-Vis and 1H NMR spectra into SMILES structures, replacing the enumerate-and-filter CASE workflow.

Multimodal LLM aligning natural language, small molecules and proteins in any direction, turning prose design goals into molecules or enzymes.

Multi-modal protein foundation model aligning 3D structure and literature text to a sequence anchor through contrastive pretraining.

Multimodal LLM for inverse molecular design, interleaving text and graph generation with a diffusion transformer and A* retrosynthetic planning.