Tootfinder

Dual Knowledge-Enhanced Two-Stage Reasoner for Multimodal Dialog Systems
Xiaolin Chen, Xuemeng Song, Haokun Wen, Weili Guan, Xiangyu Zhao, Liqiang Nie
https://arxiv.org/abs/2509.07817

Dual Knowledge-Enhanced Two-Stage Reasoner for Multimodal Dialog Systems
Textual response generation is pivotal for multimodal \mbox{task-oriented} dialog systems, which aims to generate proper textual responses based on the multimodal context. While existing efforts have demonstrated remarkable progress, there still exist the following limitations: 1) \textit{neglect of unstructured review knowledge} and 2) \textit{underutilization of large language models (LLMs)}. Inspired by this, we aim to fully utilize dual knowledge (\textit{i.e., } structured attribute and un…

Chromium-doped uranium dioxide fuels: A review
Mack Wesley Cleveland, Andrew Nelson, Ericmoore Jossou
https://arxiv.org/abs/2510.07698 https://arxiv.org/pd…

Chromium-doped uranium dioxide fuels: A review
UO2 doped with parts per million Cr2O3 powder is considered a potential near term accident tolerant fuel candidate. Here, the results of decades of industry and academic research into Cr-doped UO2 are analyzed and their shortcomings are critiqued. Focusing on the incorporation mechanisms of Cr into the fuel matrix, we explore a mechanistic understanding of the characteristic properties of Cr-doped UO2, notably, enhanced fission gas retention attributed to enlarged grain sizes following sinterin…

Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
Rongzhi Zhang, Liqin Ye, Yuzhao Heng, Xiang Chen, Tong Yu, Lingkai Kong, Sudheer Chava, Chao Zhang
https://arxiv.org/abs/2510.12121

Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
Precise attribute intensity control--generating Large Language Model (LLM) outputs with specific, user-defined attribute intensities--is crucial for AI systems adaptable to diverse user expectations. Current LLM alignment methods, however, typically provide only directional or open-ended guidance, failing to reliably achieve exact attribute intensities. We address this limitation with three key designs: (1) reformulating precise attribute intensity control as a target-reaching problem, rather t…

It’s always a similar radicalization, it involves it being useful for them in some way and therefore (in their view) anyone who dares to mention any of the 700,000 serious problems with it is a “zealot”.
Followed by ad hominem attacks by doing things like questioning other people’s qualification and motivations; in pretty elaborate temper tantrums.
It does not occur to them they might be wrong, even when repeatedly shown proof that they are.
This is psychological projection, by the way—they attribute their heir own negative feelings to other people.

QuantMind: A Context-Engineering Based Knowledge Framework for Quantitative Finance
Haoxue Wang, Keli Wen, Yuante Li, Qiancheng Qu, Xiangxu Mu, Xinjie Shen, Jiaqi Gao, Chenyang Chang, Chuhan Xie, San Yu Cheung, Zhuoyuan Hu, Xinyu Wang, Sirui Bi, Bi'an Du
https://arxiv.org/abs/2509.21507

QuantMind: A Context-Engineering Based Knowledge Framework for Quantitative Finance
Quantitative research increasingly relies on unstructured financial content such as filings, earnings calls, and research notes, yet existing LLM and RAG pipelines struggle with point-in-time correctness, evidence attribution, and integration into research workflows. To tackle this, We present QuantMind, an intelligent knowledge extraction and retrieval framework tailored to quantitative finance. QuantMind adopts a two-stage architecture: (i) a knowledge extraction stage that transforms heterog…

It very much bothers me that #smartd didn't email me about this. The only reason I noticed it is because 'snapraid smart' output says that the chance of the drive failing in the next year is 99%. #SelfHosting

How Large Language Models are Designed to Hallucinate
Richard Ackermann, Simeon Emanuilov
https://arxiv.org/abs/2509.16297 https://arxiv.org/pdf/2509.16297…

How Large Language Models are Designed to Hallucinate
Large language models (LLMs) achieve remarkable fluency across linguistic and reasoning tasks but remain systematically prone to hallucination. Prevailing accounts attribute hallucinations to data gaps, limited context, or optimization errors. We argue instead that hallucination is a structural outcome of the transformer architecture. As coherence engines, transformers are compelled to produce fluent continuations, with self-attention simulating the relational structure of meaning but lacking t…

Holey sheets: Double-Threshold Rupture of Draining Liquid Films
Ayush K. Dixit, Chunheng Zhao, St\'ephane Zaleski, Detlef Lohse, Vatsal Sanjay
https://arxiv.org/abs/2509.12789

Holey sheets: Double-Threshold Rupture of Draining Liquid Films
Classical rupture is attributed to molecular (van der Waals) forces acting at nanometric thicknesses. Nonetheless, micron-thick liquid sheets routinely perforate far above the scale where these molecular forces act, yet the mechanism that selects opening versus healing has remained unclear. Using direct numerical simulations of a draining sheet with an entrained air bubble (cavity), we show that irreversible rupture occurs only when a deterministic double-threshold is crossed: (i) the outward d…

Gravitational scattering of ejecta in the Didymos system cannot explain the evolution of the binary's orbital period
Harrison Agrusa, Camille Chatenet
https://arxiv.org/abs/2509.20197

Gravitational scattering of ejecta in the Didymos system cannot explain the evolution of the binary's orbital period
In the first few months following the DART impact on Dimorphos, it appears that the orbital period dropped by ${\sim} 30$ s in addition to the immediate ${\sim}30 $ min drop. This effect has been attributed to ``binary hardening,'' whereby the binary's orbital period would have gradually decreased as Dimorphos continuously scattered bound ejecta out of the system and lost angular momentum. We investigated this hypothesis with the goal of constraining the conditions that would lead to a gradual …