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Reduan Achtibat

@reduanachtibat.bsky.social
32 followers 8 following 0 posts

PhD student @ Fraunhofer HHI. XAI and Interpretability for NLP & Vision.

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Reposted by Reduan Achtibat
Sebastian Lapuschkin @slapuschkin.bsky.social · 28/05/2025
Have had enough of the fake "sources" "cited" by ChatGPT? We have the solution in the form of low-cost causal citations for LLMs. Go check this out! arxiv.org/abs/2505.15807 Thanks to my amazing co-authors @pkhdipraja.bsky.social, @reduanachtibat.bsky.social , Thomas Wiegand and Wojciech Samek!
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Reposted by Reduan Achtibat
Patrick Kahardipraja @pkhdipraja.bsky.social · 26/05/2025
ICL allows LLMs to adapt to new tasks and at the same time enables them to access external knowledge through RAG. How does the latter work? TL;DR we find that certain attention heads perform various, distinct operations on the input prompt for QA! arxiv.org/abs/2505.15807 1/
arxiv.org
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
Large language models are able to exploit in-context learning to access external knowledge beyond their training data through retrieval-augmentation. While promising, its inner workings remain unclear...
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