Signal
Fast and Accurate Probing of In-Training LLMs' Downstream Performances
Evidence first: scan the strongest sources, then decide whether to go deeper.
Published 2026-04-01 16:00 UTCUpdated 2026-04-02 04:00 UTC
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Evidence trail (top sources)
top sources (2 domains)domains are deduped. counts indicate coverage, not truth.2 top sources shown
limited source diversity in top sources
Overview
At a glance AI benchmarks report performance on specific tasks but provide limited insight into underlying capabilities; ADeLe evaluates models by scoring both tasks and models across 18 core abilities, enabling direct comparison between task demands and model capabilities.
Score total
1.01
Momentum 24h
2
Posts
2
Origins
2
Source types
1
Duplicate ratio
0%
All evidence
All evidence
Fast and Accurate Probing of In-Training LLMs' Downstream Performances
arXiv cs.LG and cs.AI RSS · arxiv.org · 2026-04-02 04:00 UTC
ADeLe: Predicting and explaining AI performance across tasks
Microsoft Research Blog (RSS) · microsoft.com · 2026-04-01 16:00 UTC
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Top publishers (this list)
- arXiv cs.LG and cs.AI RSS (1)
- Microsoft Research Blog (RSS) (1)
Top origin domains (this list)
- arxiv.org (1)
- microsoft.com (1)