Tootfinder

Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts
Rochana Prih Hastuti, Rian Adam Rajagede, Mansour Al Ghanim, Mengxin Zheng, Qian Lou
https://arxiv.org/abs/2509.07755 …

Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts
As large language models (LLMs) adapted to sensitive domains such as medicine, their fluency raises safety risks, particularly regarding provenance and accountability. Watermarking embeds detectable patterns to mitigate these risks, yet its reliability in medical contexts remains untested. Existing benchmarks focus on detection-quality tradeoffs, overlooking factual risks under low-entropy settings often exploited by watermarking's reweighting strategy. We propose a medical-focused evaluation w…

US buys Argentine pesos, finalizes $20 billion currency swap
https://apnews.com/article/trump-bessent-argentina-milei-currency-swap-7432a188e57264f0e5f6c753ddc40879

"Archives, Theory, Literary Minority"; Annual Conference of the ACLA
https://ift.tt/f1kTWLP
updated: Thursday, September 11, 2025 - 3:34pmfull name / name of organization: Andrea…
via Input 4 RELCFP

(Især) til mine festlige furier: Jeg har lige været hos lægen med mine perimenopause-symptomer. Han var god og fornuftig og holdt mig fast på at vi ikke skal vente til jeg får det værre. Så nu skal jeg på apoteket og hente Ÿstrogen-gel! Det fŸles allerede lidt vildt 😅
#EnFestAfFurier #perimenopause

Dieselbe Prüfstelle - Kaufprüfgutachten positiv, trotzdem kein „Pickerl“ #News #Nachrichten

SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
Lukas Haas, Gal Yona, Giovanni D'Antonio, Sasha Goldshtein, Dipanjan Das
https://arxiv.org/abs/2509.07968

SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
We introduce SimpleQA Verified, a 1,000-prompt benchmark for evaluating Large Language Model (LLM) short-form factuality based on OpenAI's SimpleQA. It addresses critical limitations in OpenAI's benchmark, including noisy and incorrect labels, topical biases, and question redundancy. SimpleQA Verified was created through a rigorous multi-stage filtering process involving de-duplication, topic balancing, and source reconciliation to produce a more reliable and challenging evaluation set, alongsi…

Do All Autoregressive Transformers Remember Facts the Same Way? A Cross-Architecture Analysis of Recall Mechanisms
Minyeong Choe, Haehyun Cho, Changho Seo, Hyunil Kim
https://arxiv.org/abs/2509.08778

Do All Autoregressive Transformers Remember Facts the Same Way? A Cross-Architecture Analysis of Recall Mechanisms
Understanding how Transformer-based language models store and retrieve factual associations is critical for improving interpretability and enabling targeted model editing. Prior work, primarily on GPT-style models, has identified MLP modules in early layers as key contributors to factual recall. However, it remains unclear whether these findings generalize across different autoregressive architectures. To address this, we conduct a comprehensive evaluation of factual recall across several model…

"Do you know what a foreign accent is? It's a sign of bravery." - Amy Chua

Hi @… people, I listened to the first episode of #StarTrek Khan this morning in the car, and it was actually pretty decent.
http…

I don't often get to say "Good news from the Supreme Court!" but the Obergefell decision is safe for now, so I'll take the chance while I have it.
Supreme Court declines to revisit gay marriage decision
https://www.npr.org/2025/11/10/nx-s1-56042