NAVER LABS Europe
NAVER LABS Europe Researchers Prove Recurrent Models Can Act as Tunable State Observers
Researchers at NAVER LABS Europe and collaborators have published a paper that gives recurrent neural networks formal guarantees for estimating the state of a dynamical…
BASIS-Bench tests whether speech LLMs personalize without stereotyping
Researchers at NAVER LABS Europe have introduced BASIS-Bench, a benchmark that separates helpful personalization from stereotypical behavior in speech large language…
SPLADE-Code brings learned sparse retrieval to code search at up to 8B parameters
Researchers at NAVER LABS Europe have introduced SPLADE-Code, which they describe as the first large-scale family of learned sparse retrieval models specialized for code…
NAVER LABS Europe Trains LLM Agents to Learn From Retrieved Experience
Researchers at NAVER LABS Europe have proposed a way to combine fine-tuning and experience retrieval so that LLM agents generalize better to tasks they have not seen…
NAVER LABS Europe teaches LLMs to write text that sounds right when spoken
Researchers at NAVER LABS Europe have studied how to make large language models produce text that works well when read aloud by a Text-to-Speech system, rather than…
NAVER LABS Europe's RRK Reranker Runs 3x-18x Faster Than Smaller Models
Researchers at NAVER LABS Europe have introduced RRK, a listwise reranker that compresses documents into fixed-size embedding representations. According to the authors…
Study: Patterns in Latent Reasoning Models Don't Prove How They Reason
Patterns that researchers have read as signs of internal reasoning in latent reasoning models also show up in control models, according to a new paper from NAVER LABS…