2 papers
cs.CL2026
A comparative study of transformer-based embeddings for topic coherence
Alex Ding, Tarun Rapaka, Willy Rodriguez +1
Topic modeling is a branch of Natural Language Processing (NLP) that aims to organize large collections of texts into coherent groups according to word co-occurrence patterns, with…
q-bio.BM2025
Function-Guided Conditional Generation Using Protein Language Models with Adapters
Jason Yang, Aadyot Bhatnagar, Jeffrey A. Ruffolo +1
The conditional generation of proteins with desired functions is a key goal for generative models. Existing methods based on prompting of protein language models (PLMs) can generat…