Tootfinder

The Geometry of Truth: Layer-wise Semantic Dynamics for Hallucination Detection in Large Language Models
Amir Hameed Mir
https://arxiv.org/abs/2510.04933 https://

The Geometry of Truth: Layer-wise Semantic Dynamics for Hallucination Detection in Large Language Models
Large Language Models (LLMs) often produce fluent yet factually incorrect statements-a phenomenon known as hallucination-posing serious risks in high-stakes domains. We present Layer-wise Semantic Dynamics (LSD), a geometric framework for hallucination detection that analyzes the evolution of hidden-state semantics across transformer layers. Unlike prior methods that rely on multiple sampling passes or external verification sources, LSD operates intrinsically within the model's representational…

from my link log —
Renewable energy unambiguously reduces UK wholesale power prices.
https://www.carboncommentary.com/blog/2025/8/18/renewables-do-unambiguously-reduce-wholesale-power-prices
saved 2025-08-20

Renewables do unambiguously reduce wholesale power prices | Carbon Commentary
We still hear assertions that adding renewables to the grid has increased the UK’s electricity costs. I looked at two sources of data and plotted one against the other to test whether there’s any truth in this. 1,      The ‘next day’ electricity price fo

MARS-Sep: Multimodal-Aligned Reinforced Sound Separation
Zihan Zhang, Xize Cheng, Zhennan Jiang, Dongjie Fu, Jingyuan Chen, Zhou Zhao, Tao Jin
https://arxiv.org/abs/2510.10509 h…

MARS-Sep: Multimodal-Aligned Reinforced Sound Separation
Universal sound separation faces a fundamental misalignment: models optimized for low-level signal metrics often produce semantically contaminated outputs, failing to suppress perceptually salient interference from acoustically similar sources. To bridge this gap, we introduce MARS-Sep, a reinforcement learning framework that reformulates separation as decision making. Instead of simply regressing ground-truth masks, MARS-Sep learns a factorized Beta mask policy that is optimized by a clipped t…