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Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data

AI summary

A research paper titled "Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data" has been published on arXiv.org. This paper, categorized under Artificial Intelligence (cs.AI) and Machine Learning (cs.LG), explores methods for generating and adapting weights in Large Language Models using live data. The document, identified as arXiv:2609.18842, was first made available on September 16, 2026, and is associated with Jinli Hu Dr.

Why this one

This paper introduces a novel approach to LLM weight generation and adaptation from live data, unlike traditional methods that rely on static datasets.

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IngestedOffset at this time: UTC+0Sep 17, 2026, 18:00 UTC

Ingested
Sep 17, 2026, 18:00
Source type
Research
Breakout verdict
Basis
Running about 2.0× the median of this source's recent listed items
Metric comparison
146 vs median 73 (20 baseline samples)
Detected
09/18, 10:00

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Source·Hacker News·arxiv.org