Tag: natural language processing

Researchers have developed an unsupervised domain adaptation method that lets dialogue summarization models learn from annotated news data and bridge ...

Researchers at Anhui University have developed KVCB, a key-value cache merging method that compresses large language model memory by fusing ...

Researchers have developed a few-shot AI framework that combines agentic retrieval-augmented generation with multi-agent data augmentation to detect coded dog-whistle ...

A new study shows that linking skills, occupations and qualifications in job advertisements requires construct-specific matching strategies, yielding significant accuracy ...

A new multimodal deep learning framework fuses Log-Mel spectrograms and BERT embeddings through self-attention to automatically score spoken English fluency ...

Researchers converted patent abstracts into semantic embeddings to measure technological similarity between firms and found the resulting network predicts subsequent ...

Researchers have built the first large-scale, psychiatrist-annotated Persian Twitter corpus for suicidal ideation and shown that machine-learning classifiers detect personal ...

Researchers developed EntQA, a reference-free, entity-centric metric that scores how faithfully large language models preserve clinically relevant concepts in medical ...

Researchers have developed an NLP-based Sentiment–Substance Indicator that measures the alignment between optimistic environmental language and concrete strategy reporting in ...

Researchers show that an unmodified large language model can screen and extract data from digital health trial reports with human-level ...