Tootfinder

USDA is reopening some 2,100 offices to help farmers access $3B in aid despite the ongoing shutdown
https://federalnewsnetwork.com/workforce/2025/10/usda-is-reopening-some-2100-offices-to-help-farmers-access-3b-in-aid-despite-the-ongoing-shutdown/

Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning
Xiangru Tang, Wanghan Xu, Yujie Wang, Zijie Guo, Daniel Shao, Jiapeng Chen, Cixuan Zhang, Ziyi Wang, Lixin Zhang, Guancheng Wan, Wenlong Zhang, Lei Bai, Zhenfei Yin, Philip Torr, Hanrui Wang, Di Jin
https://arxiv.org/abs/2509.21193

Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning
Large language models (LLMs) have recently shown strong progress on scientific reasoning, yet two major bottlenecks remain. First, explicit retrieval fragments reasoning, imposing a hidden "tool tax" of extra tokens and steps. Second, multi-agent pipelines often dilute strong solutions by averaging across all candidates. We address these challenges with a unified framework that combines implicit retrieval and structured collaboration. At its foundation, a Monitor-based retrieval module operates…

Autoregressive End-to-End Planning with Time-Invariant Spatial Alignment and Multi-Objective Policy Refinement
Jianbo Zhao, Taiyu Ban, Xiangjie Li, Xingtai Gui, Hangning Zhou, Lei Liu, Hongwei Zhao, Bin Li
https://arxiv.org/abs/2509.20938

Autoregressive End-to-End Planning with Time-Invariant Spatial Alignment and Multi-Objective Policy Refinement
The inherent sequential modeling capabilities of autoregressive models make them a formidable baseline for end-to-end planning in autonomous driving. Nevertheless, their performance is constrained by a spatio-temporal misalignment, as the planner must condition future actions on past sensory data. This creates an inconsistent worldview, limiting the upper bound of performance for an otherwise powerful approach. To address this, we propose a Time-Invariant Spatial Alignment (TISA) module that le…

Front yard garden as we head into Australian summer. Those beans on the right are 4 metres tall. Tromboncino battling it out with grapes for the pagola that shades all the east side of the house - green air conditioning for the summer. Tomatoes, capsicums, eggplants ripening, cucumbers to give away, snake beans coming on, carrots & fennel flowering to feed nectar to the ladybugs & make seed, so many geen beans I'm leaving some to mature. Onions & garlic nearly ready. Still p…

SO COOL
https://fuckaas.space/@Sleepybonepile/115430741675560593

Weary bone lad (@Sleepybonepile@fuckaas.space)
Attached: 2 images Ahhh you #fuckaas folk encouraged me didn’t ya. Needs refinement but it’s spreading. Got an axe that’s currently naked of embellishment too 😅

VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception
Ziang Yan, Xinhao Li, Yinan He, Zhengrong Yue, Xiangyu Zeng, Yali Wang, Yu Qiao, Limin Wang, Yi Wang
https://arxiv.org/abs/2509.21100

VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception
Inducing reasoning in multimodal large language models (MLLMs) is critical for achieving human-level perception and understanding. Existing methods mainly leverage LLM reasoning to analyze parsed visuals, often limited by static perception stages. This paper introduces Visual Test-Time Scaling (VTTS), a novel approach to enhance MLLMs' reasoning via iterative perception during inference. VTTS mimics humans' hierarchical attention by progressively refining focus on high-confidence spatio-tempora…

Schlag gegen "Crime as a Service": Polizei kappt kriminelle Rufnummern
Mit einem massiven Schlag gegen Cyberbanden haben Karlsruher Ermittler und die BaFin mehr als 3500 von Betrügern genutzte Telefonnummern abgeschaltet.

When you beat the later levels, Linux restarts the whole game over but in hard mode. Sure, I've installed MySQL on Debian before, but this time around there's extra challenges - like the GPG signature on <https://dev.mysql.com/doc/refman/8.4/en/checking-gpg-signature…

TGPR: Tree-Guided Policy Refinement for Robust Self-Debugging of LLMs
Daria Ozerova, Ekaterina Trofimova
https://arxiv.org/abs/2510.06878 https://arxiv.org…

TGPR: Tree-Guided Policy Refinement for Robust Self-Debugging of LLMs
Iterative refinement has been a promising paradigm to enable large language models (LLMs) to resolve difficult reasoning and problem-solving tasks. One of the key challenges, however, is how to effectively search through the enormous search space of possible refinements. Existing methods typically fall back on predefined heuristics, which are troubled by the exploration-exploitation dilemma and cannot adapt based on past refinement outcomes. We introduce Tree-Guided Policy Refinement (TGPR), a …

🇺🇦 #NowPlaying on BBCRadio3's #NightTracks
Mason Lindahl, Robby Moncrieff, Sam Slater & Michael Rich Ruth:
🎵 Moon Over
#MasonLindahl #RobbyMoncrieff #SamSlater #MichaelRichRuth