Perplexity AI Releases pplx-embed-v2-late: A 0.6B Edge Model and a 9B Model Scoring 92.4% on MADQA
Perplexity released pplx-embed-v2-late, a 0.6B edge embedder and a 9B model scoring 92.4% on MADQA.
Stories per day · 30 days
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Stories tagged #vidore
Inverting Multi-Vector Visual Document Indices
Stored multi-vector document indices can be inverted to recover page words and sensitive tokens.
Beyond Semantic Similarity: Performance and Costs of Agentic Retrieval for Complex Tasks
Agentic retrieval beats dense search by 8.7 nDCG@10 but is far slower and costlier.
ColNanoVDR: Document-Free Query Distillation for Multi-Vector Visual Document Retrieval via Optimal Transport
ColNanoVDR distills multi-vector document retrievers into 149M students that keep 95% NDCG@5 and run up to 26x faster.
Generative Late-Interaction Embeddings For Visual Document Retrieval
GLIE compresses visual document retrieval embeddings to four vectors per page while retaining nearly 80% of uncompressed nDCG@5 accuracy.
H Company Releases NeoMME: A Family of 260M and 800M Single-Tower Multimodal Encoders That Drop the Vision Tower and Causal Decoder
H Company released NeoMME, 260M/800M single-tower multimodal encoders matching 3.75B ColQwen2.5 on ViDoRe v3 while being 14.4x smaller, under Apache 2.0.
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