Learning robust linguistic representations from text has long been a central challenge in natural language processing and language sciences. NLP systems ...

Pick any month in 2026, and you’ll likely see new “AI search” announcements hitting the legal tech market. Natural language queries, ...

This page is archived and not actively maintained. The networks presented at this page can be downloaded as GEXF files and opened using the , but they cannot be ...

Sample 1: “’Sharon’s got a boyfriend’ would be a colourful way to introduce this piece. It would help you transcend beyond ...

Analyses of self-paced reading times reveal that linguistic prediction deteriorates under limited executive resources, with this resource sensitivity becoming markedly more pronounced with advancing ...

"Why do you look like a principal?” one student asked Donald York, who was visiting the youngster and their fifth grade ...

Abstract: The emerging semantic compression has been receiving increasing research efforts most recently, capable of achieving high fidelity restoration during compression, even at extremely low ...

Abstract: Traditional unimodal sensing faces limitations in accuracy and capability, and its decoupled implementation with communication systems increases latency in bandwidth-constrained environments ...

Hitting limits on passing the larger context to your limited character token limit llm model not anymore this chunker solves the problem It is a token-aware, LangChain-compatible chunker that splits ...