Balancing hierarchical representation and quantization: A performance trade-off in text embeddings
Hierarchical text embedding models offer variable-length representations, while quantization reduces...
Yapay zekâ dünyasından son haberler, derinlikli analizler, teknik incelemeler.

Microsoft, İlk Siber Güvenlik Modeli MAI-Cyber-1-Flash’ı ve MDASH Sistemini Duyurdu Microsoft, 27 Temmuz 2026 tarihinde siber güvenlik odaklı ilk kendi modelini ve…
Yapay Zeka HaberleriMoonshot AI, 27 Temmuz 2026 tarihinde Kimi K3 modelinin tam model ağırlıklarını (weights) ve teknik raporunu resmi olarak açık kaynak olarak yayınladı.…
Hierarchical text embedding models offer variable-length representations, while quantization reduces...
In LLM-based recommendation, memory acts as a user-level agent in a memory-augmented backbone.
Ask a language model whether sales tend to dip after a product recall, or whether one side effect te...
Generative recommendation with semantic IDs represents each item as a sequence of discrete codes der...
Existing sequential recommenders usually allocate a fixed computational budget to every item in a us...
Language models increasingly support or automate information retrieval from document collections too...
As AI agents increasingly rely on external tools, accurate retrieval is essential for reliable behav...
Dense-retrieval services must switch among embedding-prefix dimensions and index bit rates as latenc...
What makes great scientists great?
Answering questions about long videos often requires connecting events involving the same objects ac...
The same underlying computational problem is solved across unrelated fields under different names: r...
Video retrieval at scale is central to data curation and safety validation in autonomous driving, wh...
Neural retrievers are trained to estimate query-document relevance from annotated query-document pai...
Retrieval over semi-structured knowledge bases (SKBs) must handle both textual descriptions and rela...