LLM Digest

Story

arxiv_cs_ai · Oct 1, 2026 · paper

Source brief

HHR: Hierarchical Hash Retrieval for Efficient LLM Generation

arxiv.orgOct 1, 2026
original source linked

In brief

Efficient long-context inference is essential for large language models (LLMs), yet it poses a severe computational bottleneck. Hash-based retrieval offers an efficient alternative by encoding queries and keys into bi...

Feed lens

eval

Read the original at arxiv.org →Open in live feed Read that day’s brief

HHR: Hierarchical Hash Retrieval for Efficient LLM Generation

Earlier in this thread 4 items

Teaching Nemotron Greek: Mining a Corpus, Adapting Retrieval, and Grounding Generation for Modern Greek across Specialist Domains

Efficient Retrieval-Augmented Generation via Token Co-occurrence Graphs

MemDreamer: Decoupling Perception and Reasoning for Long Video Understanding via Hierarchical Graph Memory and Agentic Retrieval Mechanism

Show HN: RouteMind – routing instead of retrieval for agent knowledge