Learning Layer Paper Reading Club - Week 29 - HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
🇺🇸 San Francisco,
United States
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📅 LEARNING LAYER PAPER READING CLUB - WEEK 29 - HIPPORAG: NEUROBIOLOGICALLY INSPIRED LONG-TERM MEMORY FOR LARGE LANGUAGE MODELS
Starts
Aug 26, 2026 12:00 AM
Ends
Aug 26, 2026 2:00 AM
Type
In person
Views
0
Category
🍻 Social Meetups
City
🇺🇸 San Francisco
Venue
Homebrew Club
Address
Homebrew Club, San Francisco, CA, United States
ICS URL
DESCRIPTION
This week's paper: HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models Link: https://arxiv.org/pdf/2405.14831 Abstract: Most RAG systems retrieve passag...
This week's paper:
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
Link:
https://arxiv.org/pdf/2405.14831
Abstract:
Most RAG systems retrieve passages independently. That works well until answering a question requires connecting information scattered across multiple documents.
HippoRAG asks a different question: what if LLM memory worked a little more like human memory?
Inspired by how the hippocampus helps us recall related information, HippoRAG combines LLMs, knowledge graphs, and Personalized PageRank to connect concepts and retrieve relevant information…
Hosted by Devinder Sodhi (LLL) & 3 others
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
Link:
https://arxiv.org/pdf/2405.14831
Abstract:
Most RAG systems retrieve passages independently. That works well until answering a question requires connecting information scattered across multiple documents.
HippoRAG asks a different question: what if LLM memory worked a little more like human memory?
Inspired by how the hippocampus helps us recall related information, HippoRAG combines LLMs, knowledge graphs, and Personalized PageRank to connect concepts and retrieve relevant information…
Hosted by Devinder Sodhi (LLL) & 3 others
LINKS
Website
https://luma.com/xqcy38hs
Registration
https://luma.com/xqcy38hs
🔎 SOURCE
Imported From
Luma
Source City
San Francisco
Original Event
Open source event
https://luma.com/xqcy38hs
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