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Sid

@sidvenkatayogi.bsky.social
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kaijie-mo.bsky.social @kaijie-mo.bsky.social · 21/01/2026
📎Paper: arxiv.org/abs/2601.11886 🧑‍💻Code/data: github.com/KaijieMo-kj/... w/ @kaijie-mo.bsky.social @sidvenkatayogi.bsky.social @chantalsh.bsky.social @ramezkouzy.bsky.social @cocoweixu.bsky.social @byron.bsky.social @jessyjli.bsky.social
arxiv.org
Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical Evidence
In high-stakes domains like medicine, it may be generally desirable for models to faithfully adhere to the context provided. But what happens if the context does not align with model priors or safety ...
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Reposted by Sid
kaijie-mo.bsky.social @kaijie-mo.bsky.social · 21/01/2026
Hello world 👋 My first paper at UT Austin! We ask: what happens when medical “evidence” fed into an LLM is wrong? Should your AI stay faithful, or should it play it safe when the evidence is harmful? We show that frontier LLMs accept counterfactual medical evidence at face value.🧵
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Sid @sidvenkatayogi.bsky.social · 21/07/2025
just released PIXIE, a novel, intuitive visual tool for visual creatives to browse/search for inspiration and reference. The better way to view your Pinterest boards. Here’s the demo:
youtu.be
Introducing PIXIE
YouTube video by Siddhartha Venkatayogi
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