Tootfinder

Trump Shooting Fiasco Worsens as Dems Find Fresh Line of Attack on ICE (New Republic)
https://newrepublic.com/article/205107/trump-shooting-fiasco-worsens-dems-find-fresh-line-attack-ice
http://www.memeorandum.com/260109/p22#a260109p22

The Limits of Goal-Setting Theory in LLM-Driven Assessment
Mrityunjay Kumar
https://arxiv.org/abs/2510.06997 https://arxiv.org/pdf/2510.06997

The Limits of Goal-Setting Theory in LLM-Driven Assessment
Many users interact with AI tools like ChatGPT using a mental model that treats the system as human-like, which we call Model H. According to goal-setting theory, increased specificity in goals should reduce performance variance. If Model H holds, then prompting a chatbot with more detailed instructions should lead to more consistent evaluation behavior. This paper tests that assumption through a controlled experiment in which ChatGPT evaluated 29 student submissions using four prompts with i…

Quantum Replica Exchange
Zherui Chen, Joao Basso, Zhiyan Ding, Lin Lin
https://arxiv.org/abs/2510.07291 https://arxiv.org/pdf/2510.07291

Quantum Replica Exchange
The presence of energy barriers in the state space of a physical system can lead to exponentially slow convergence for sampling algorithms like Markov chain Monte Carlo (MCMC). In the classical setting, replica exchange (or parallel tempering) is a powerful heuristic to accelerate mixing in these scenarios. In the quantum realm, preparing Gibbs states of Hamiltonians faces a similar challenge, where bottlenecks can dramatically increase the mixing time of quantum dynamical semigroups. In this w…

#socialcoop So our Meet.Coop instance has been down for 3 weeks, and from what I see on https://forum.meet.coop/t/meet-coop-update-october-2025/1739/47, it's not clear w…

Meet.coop update October 2025
Hi folks, update from me. I got a bit stuck because I haven’t been given access to the sso.meet.coop “master” realm so I can’t access any of the Keycloak admin settings. This is true even from the command line, see: Keycloak: How to add a new User - Mastertheboss I have securely handed over the SSO credentials to ColloCall that were being used on the de.meet.coop server and switched over the domain to point at the ColloCall server. Now we just need ColloCall to spin up the new server.…

LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling
Zecheng Tang, Baibei Ji, Quantong Qiu, Haitian Wang, Xiaobo Liang, Juntao Li, Min Zhang
https://arxiv.org/abs/2510.06915

LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling
Reward model (RM) plays a pivotal role in aligning large language model (LLM) with human preferences. As real-world applications increasingly involve long history trajectories, e.g., LLM agent, it becomes indispensable to evaluate whether a model's responses are not only high-quality but also grounded in and consistent with the provided context. Yet, current RMs remain confined to short-context settings and primarily focus on response-level attributes (e.g., safety or helpfulness), while largel…

Urban Texture III 🧩
城市质地 III 🧩
📷 Nikon F4E
🎞️ ERA 100, expired 1993
#filmphotography #Photography #blackandwhite

RLinf-VLA: A Unified and Efficient Framework for VLA RL Training
Hongzhi Zang, Mingjie Wei, Si Xu, Yongji Wu, Zhen Guo, Yuanqing Wang, Hao Lin, Liangzhi Shi, Yuqing Xie, Zhexuan Xu, Zhihao Liu, Kang Chen, Wenhao Tang, Quanlu Zhang, Weinan Zhang, Chao Yu, Yu Wang
https://arxiv.org/abs/2510.06710

RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training
Recent progress in vision and language foundation models has significantly advanced multimodal understanding, reasoning, and generation, inspiring a surge of interest in extending such capabilities to embodied settings through vision-language-action (VLA) models. Yet, most VLA models are still trained with supervised fine-tuning (SFT), which struggles to generalize under distribution shifts due to error accumulation. Reinforcement learning (RL) offers a promising alternative by directly optimiz…

JWST occultation reveals unforeseen complexity in Chariklo's ring system
Pablo Santos-Sanz, Altair R. Gomes-J\'unior, Bruno E. Morgado, Yucel Kilic, Csilla E. Kalup, Csaba Kiss, Chrystian L. Pereira, Bryan J. Holler, Nicol\'as Morales, Jos\'e Luis Ortiz, Bruno Sicardy, Juan Luis Rizos, John Stansberry, Richard G. French, Heidi B. Hammel, Zhong-Yi Lin, Damya Souami, Josselin Desmars, Stefanie N. Milam, Felipe Braga-Ribas, Marcelo Assafin, Gustavo Benedetti-Rossi, Julio I…

JWST occultation reveals unforeseen complexity in Chariklo's ring system
Ring systems have recently been discovered around several small bodies in the outer Solar System through stellar occultations. While such measurements provide key information on ring geometry and dynamical interactions, little is known about their composition, grain size distribution, origin, lifetime, or evolutionary pathways. Here we report near-infrared observations from the James Webb Space Telescope (JWST) of a stellar occultation by the Centaur (10199) Chariklo, providing unprecedented co…

Replaced article(s) found for cs.MM. https://arxiv.org/list/cs.MM/new
[1/1]:
- Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward
Yolo Yunlong Tang, Siting Xu, Teng Wang, Qin Lin, Qinglin Lu, Feng Zheng

TWIST: Training-free and Label-free Short Text Clustering through Iterative Vector Updating with LLMs
I-Fan Lin, Faegheh Hasibi, Suzan Verberne
https://arxiv.org/abs/2510.06747 …

TWIST: Training-free and Label-free Short Text Clustering through Iterative Vector Updating with LLMs
In this paper, we propose a training-free and label-free method for short text clustering that can be used on top of any existing embedder. In the context of customer-facing chatbots, companies are dealing with large amounts of user utterances that need to be clustered according to their intent. In these commercial settings, no labeled data is typically available, and the number of clusters is not known. Our method is based on iterative vector updating: it constructs sparse vectors based on rep…