Tootfinder

LM Fight Arena: Benchmarking Large Multimodal Models via Game Competition
Yushuo Zheng, Zicheng Zhang, Xiongkuo Min, Huiyu Duan, Guangtao Zhai
https://arxiv.org/abs/2510.08928 h…

LM Fight Arena: Benchmarking Large Multimodal Models via Game Competition
Existing benchmarks for large multimodal models (LMMs) often fail to capture their performance in real-time, adversarial environments. We introduce LM Fight Arena (Large Model Fight Arena), a novel framework that evaluates LMMs by pitting them against each other in the classic fighting game Mortal Kombat II, a task requiring rapid visual understanding and tactical, sequential decision-making. In a controlled tournament, we test six leading open- and closed-source models, where each agent operat…

Verti-Arena: A Controllable and Standardized Indoor Testbed for Multi-Terrain Off-Road Autonomy
Haiyue Chen, Aniket Datar, Tong Xu, Francesco Cancelliere, Harsh Rangwala, Madhan Balaji Rao, Daeun Song, David Eichinger, Xuesu Xiao
https://arxiv.org/abs/2508.08226

Verti-Arena: A Controllable and Standardized Indoor Testbed for Multi-Terrain Off-Road Autonomy
Off-road navigation is an important capability for mobile robots deployed in environments that are inaccessible or dangerous to humans, such as disaster response or planetary exploration. Progress is limited due to the lack of a controllable and standardized real-world testbed for systematic data collection and validation. To fill this gap, we introduce Verti-Arena, a reconfigurable indoor facility designed specifically for off-road autonomy. By providing a repeatable benchmark environment, Ver…

#RIP Thommy Price a real rawk drummer extraordinaire... I saw him play live many times with Joan Jett, whom he worked with for 3 decades... but also recall first seeing the Brooklyn bred beast in person strutting around the San Diego Hilton before his arena gig nearby with Billy Idol in tow back in the mid 80s on the glam punk icon's peak Rebel Yell tour...he also did stints with Mink DeVille, Robert Gordo…

Visualizing Electronic Structure of Twisted Bilayer MoTe2 in Devices
Cheng Chen, William Holtzmann, Xiao-Wei Zhang, Eric Anderson, Shanmei He, Yuzhou Zhao, Chris Jozwiak, Aaron Bostwick, Eli Rotenberg, Kenji Watanabe, Takashi Taniguchi, Ting Cao, Di Xiao, Xiaodong Xu, Yulin Chen
https://arxiv.org/abs/2509.09080

Visualizing Electronic Structure of Twisted Bilayer MoTe2 in Devices
The pursuit of emergent quantum phenomena lies at the forefront of modern condensed matter physics. A recent breakthrough in this arena is the discovery of the fractional quantum anomalous Hall effect (FQAHE) in twisted bilayer MoTe2 (tbMoTe2), marking a paradigm shift and establishing a versatile platform for exploring the intricate interplay among topology, magnetism, and electron correlations. While significant progress has been made through both optical and electrical transport measurements…

State-dependent brain responsiveness, from local circuits to the whole brain
A. Destexhe, J Goldman, N. Tort-Colet, A. Roques, J. Fousek, S. Petkoski, V. Jirsa, O. David, M. Jedynak, C. Capone, C. De Luca, G. De Bonis, P. S. Paolucci, E. Mikulan, Pigorini, M Massimini, A. Galluzzi, A. Pazienti, M. Mattia, A. Arena, B. E. Juel, E. Hagen, J. F. Storm, E. Montagni, F. Resta, F. S. Pavone, A. L. Allegra Mascaro, A. Dwarakanath, T. I. Panagiotaropoulos, J. Senk, M. Diesmann, A. Camassa, L.…

State-dependent brain responsiveness, from local circuits to the whole brain
The objective of this paper is to review physiological and computational aspects of the responsiveness of the cerebral cortex to stimulation, and how responsiveness depends on the state of the system. This correspondence between brain state and brain responsiveness (state-dependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level. At each scale, we review how quantitative methods can be used to characterize network states base…

#WWE are coming back to Europe for another tour in the new year ahead of the #RoyalRumble
including:
* Monday Night RAW TV Taping on Monday 19th January from the SSE Arena in #Belfast

Drawing Conclusions from Draws: Rethinking Preference Semantics in Arena-Style LLM Evaluation
Raphael Tang, Crystina Zhang, Wenyan Li, Carmen Lai, Pontus Stenetorp, Yao Lu
https://arxiv.org/abs/2510.02306

Drawing Conclusions from Draws: Rethinking Preference Semantics in Arena-Style LLM Evaluation
In arena-style evaluation of large language models (LLMs), two LLMs respond to a user query, and the user chooses the winning response or deems the "battle" a draw, resulting in an adjustment to the ratings of both models. The prevailing approach for modeling these rating dynamics is to view battles as two-player game matches, as in chess, and apply the Elo rating system and its derivatives. In this paper, we critically examine this paradigm. Specifically, we question whether a draw genuinely m…

Kyiv Independent reporter moderates a panel on Ukraine’s defense industry at IT Arena 2025: https://benborges.xyz/2025/09/30/kyiv-independent-reporter-moderates-a.html

ARENA: A tool for measuring and analysing the energy efficiency of Android apps
Hina Anwar
https://arxiv.org/abs/2510.01754 https://arxiv.org/pdf/2510.0175…

ARENA: A tool for measuring and analysing the energy efficiency of Android apps
To build energy-efficient apps, there is a need to estimate and analyze their energy consumption in typical usage scenarios. The energy consumption of Android apps could be estimated via software-based and hardware-based approaches. Software-based approaches, while easier to implement, are not as accurate as hardware-based approaches. The process of measuring the energy consumption of an Android app via a hardware-based approach typically involves 1) setting up a measurement environment, 2) exe…

wie wärs im standesamt darmstadt
das ist neben dem ratskeller sodass man nach der trauung lecker hähnchen essen kann
allerdings riecht es dafür im gesamten standesamt nach altem brathähnchen
https://www.n-tv.de/leute/Schalke-Aren…

Emergent spacetime supersymmetry at 2D fractionalized quantum criticality
Zhengzhi Wu, Zhou-Quan Wan, Shao-Kai Jian, Hong Yao
https://arxiv.org/abs/2510.07383 https://

Emergent spacetime supersymmetry at 2D fractionalized quantum criticality
While experimental evidence for spacetime supersymmetry (SUSY) in particle physics remains elusive, condensed matter systems offer a promising arena for its emergence at quantum critical points (QCPs). Although there have been a variety of proposals for emergent SUSY at symmetry-breaking QCPs, the emergence of SUSY at fractionalized QCPs remains largely unexplored. Here, we demonstrate emergent space-time SUSY at a fractionalized QCP in the Kitaev honeycomb model with Su-Schrieffer-Heeger (SSH)…

Speech DF Arena: A Leaderboard for Speech DeepFake Detection Models
Sandipana Dowerah, Atharva Kulkarni, Ajinkya Kulkarni, Hoan My Tran, Joonas Kalda, Artem Fedorchenko, Benoit Fauve, Damien Lolive, Tanel Alum\"ae, Matthew Magimai Doss
https://arxiv.org/abs/2509.02859

Speech DF Arena: A Leaderboard for Speech DeepFake Detection Models
Parallel to the development of advanced deepfake audio generation, audio deepfake detection has also seen significant progress. However, a standardized and comprehensive benchmark is still missing. To address this, we introduce Speech DeepFake (DF) Arena, the first comprehensive benchmark for audio deepfake detection. Speech DF Arena provides a toolkit to uniformly evaluate detection systems, currently across 14 diverse datasets and attack scenarios, standardized evaluation metrics and protocol…

Board Game Arena: A Framework and Benchmark for Assessing Large Language Models via Strategic Play
Lucia Cipolina-Kun, Marianna Nezhurina, Jenia Jitsev
https://arxiv.org/abs/2508.03368

Board Game Arena: A Framework and Benchmark for Assessing Large Language Models via Strategic Play
The Board Game Arena library provides a framework for evaluating the decision making abilities of large language models (LLMs) through strategic board games implemented in Google OpenSpiel library. The framework enables systematic comparisons between LLM based agents and other agents (random, human, reinforcement learning agents, etc.) in various game scenarios by wrapping multiple board and matrix games and supporting different agent types. It integrates API access to models via LiteLLM, local…

Herbert shines as Chargers earn AFC West win in Sao Paulo, Brazil https://www.espn.com/nfl/story/_/id/46170057/kansas-city-chiefs-los-angeles-chargers-sao-paulo-brazil-nfl

"London’s O2 Arena Goes 100% Plant-Based For Billie Eilish’s Six-Night Run"
#UK #UnitedKingdom #Food

London's O2 Arena Goes 100% Plant-Based For Billie Eilish's Six-Night Run
London’s O2 Arena went entirely plant-based for Grammy award-winning musician Billie Eilish’s week-long run of shows at the venue

Russia on the brink: fuel running out, economy collapsing, Africa becomes Kremlin’s new arena: https://benborges.xyz/2025/08/21/russia-on-the-brink-fuel.html

Multiscale dynamical characterization of cortical brain states: from synchrony to asynchrony
Maria V. Sanchez-Vives, Arnau Manasanch, Andrea Pigorini, Alessandro Arena, Alessandra Camassa, Bj{\o}rn Erik Juel, Leonardo Dalla Porta, Cristiano Capone, Chiara De Luca, Giulia De Bonis, Jennifer Goldman, Maria Sacha, Andrea Galluzzi, Antonio Pazienti, Ezequiel Mikulan, Johann F Storm, Pier Stanislao Paolucci, Marcello Massimini, Maurizio Mattia, Alain Destexhe

Multiscale dynamical characterization of cortical brain states: from synchrony to asynchrony
The cerebral cortex spontaneously displays different patterns of activity that evolve over time according to the brain state. Sleep, wakefulness, resting states, and attention are examples of a wide spectrum of physiological states that can be sustained by the same structural network. Furthermore, additional states are generated by drugs (e.g., different levels of anesthesia) or by pathological conditions (e.g., brain lesions, disorders of consciousness). While the significance of understanding…

A Note on Constructive Canonical Splitter Strategies in Nowhere Dense Graph Classes
Janne Fuchser, Nikolas M\"ahlmann, Sebastian Siebertz
https://arxiv.org/abs/2509.10062 h…

A Note on Constructive Canonical Splitter Strategies in Nowhere Dense Graph Classes
The radius-$r$ splitter game is played on a graph $G$ between two players: Splitter and Connector. In each round, Connector selects a vertex $v$, and the current game arena is restricted to the radius-$r$ neighborhood of $v$. Then Splitter removes a vertex from this restricted subgraph. The game ends, and Splitter wins, when the arena becomes empty. Splitter aims to end the game as quickly as possible, while Connector tries to prolong it for as long as possible. The splitter game was introduced…

This is amusing. In a story about Laufey’s upcoming concert in North America, it states that 400,000 tickets were sold and that’s the same as 80 of the big arena in Reykjavík.
Unmentioned: this is the equivalent of every person in Iceland buying a ticket!
https://icelandmonitor.mb…

A major achievement for Laufey
Leifur Björnsson, head of exports at the Iceland Music Office, says the demand for tickets to Laufey Lín’s upcoming concert tour in the United States and Canada is almost without precedent in Icelandic music history.

A history of Croke Park, the NFL's latest venue across the Pond https://www.nytimes.com/athletic/6542443/2025/09/26/croke-park-nfl-pittsburgh-steelers-minnesota-vikings/

I'm so bad at Italianing that I saw Pula's Arena before I saw the Colosseum in Rome

Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
Jenny Y. Huang, Yunyi Shen, Dennis Wei, Tamara Broderick
https://arxiv.org/abs/2508.11847 htt…

Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
We propose a method for evaluating the robustness of a widely used LLM ranking system -- the Bradley--Terry ranking system -- to dropping a worst-case very small fraction of evaluation data. Our approach is computationally fast and easy to adopt. When we apply our method to matchups from two popular human-preference platforms, Chatbot Arena and MT-Bench, we find that the Bradley--Terry rankings of top-performing models are remarkably sensitive to the removal of a small fraction of evaluations. …

Global properties of the energy landscape: a testing and training arena for machine learned potentials
Vlad C\u{a}rare, Fabian L. Thiemann, Joe Morrow, David J. Wales, Edward O. Pyzer-Knapp, Luke Dicks
https://arxiv.org/abs/2508.16425

Global properties of the energy landscape: a testing and training arena for machine learned potentials
Machine learning interatomic potentials (MLIPs) have achieved remarkable accuracy on standard benchmarks, yet their ability to reproduce molecular kinetics -- critical for reaction rate calculations -- remains largely unexplored. We introduce Landscape17, a dataset of complete kinetic transition networks (KTNs) for the molecules of the MD17 dataset, computed using hybrid-level density functional theory. Each KTN contains minima, transition states, and approximate steepest-descent paths, along w…

BrowserArena: Evaluating LLM Agents on Real-World Web Navigation Tasks
Sagnik Anupam, Davis Brown, Shuo Li, Eric Wong, Hamed Hassani, Osbert Bastani
https://arxiv.org/abs/2510.02418

BrowserArena: Evaluating LLM Agents on Real-World Web Navigation Tasks
LLM web agents now browse and take actions on the open web, yet current agent evaluations are constrained to sandboxed environments or artificial tasks. We introduce BrowserArena, a live open-web agent evaluation platform that collects user-submitted tasks, runs Arena-style head-to-head comparisons, and uses step-level human feedback to surface failure modes. Collecting and analyzing step-level annotations on the agent traces, we identify three consistent failure modes: captcha resolution, pop-…

Emerson-Lei and Manna-Pnueli Games for LTLf and PPLTL Synthesis
Daniel Hausmann, Shufang Zhu, Gianmarco Parretti, Christoph Weinhuber, Giuseppe De Giacomo, Nir Piterman
https://arxiv.org/abs/2508.14725

Emerson-Lei and Manna-Pnueli Games for LTLf+ and PPLTL+ Synthesis
Recently, the Manna-Pnueli Hierarchy has been used to define the temporal logics LTLfp and PPLTLp, which allow to use finite-trace LTLf/PPLTL techniques in infinite-trace settings while achieving the expressiveness of full LTL. In this paper, we present the first actual solvers for reactive synthesis in these logics. These are based on games on graphs that leverage DFA-based techniques from LTLf/PPLTL to construct the game arena. We start with a symbolic solver based on Emerson-Lei games, which…

The Impact of Social Attractiveness on Casual Group Formation: Power-Law Group Sizes and Suppressed Percolation
Matheus S. Mariano, Jos\'e F. Fontanari
https://arxiv.org/abs/2507.12585

The Impact of Social Attractiveness on Casual Group Formation: Power-Law Group Sizes and Suppressed Percolation
The dynamics of casual group formation has long been a subject of interest in social sciences. While early stochastic models offered foundational insights into group size distributions, they often simplified individual behaviors and lacked mechanisms for heterogeneous social appeal. Here, we re-examine the attractiveness-driven interaction model, an agent-based framework where point-like agents move randomly in a 2D arena and exhibit varied social appeal, leading them to pause near highly attra…

More on Bianchi I spacetimes and f(T) gravity
Alexey Golovnev, Mustafa M. Hemida
https://arxiv.org/abs/2508.15322 https://arxiv.org/pdf/2508.15322

More on Bianchi I spacetimes and f(T) gravity
Bianchi I cosmological solutions in f(T) gravity are discussed. We start from diagonal metrics and tetrads and show that their dynamical equations are pretty much tractable analytically, with a possible arena for physical applications. Then we derive a very bad unpredictability of the teleparallel connection in these configurations. Namely, even for the simple isotropic Friedmann universes, one might apply an arbitrary time-dependent spatial rotation to the standard tetrad without changing anyt…

Music Arena: Live Evaluation for Text-to-Music
Yonghyun Kim, Wayne Chi, Anastasios N. Angelopoulos, Wei-Lin Chiang, Koichi Saito, Shinji Watanabe, Yuki Mitsufuji, Chris Donahue
https://arxiv.org/abs/2507.20900

Music Arena: Live Evaluation for Text-to-Music
We present Music Arena, an open platform for scalable human preference evaluation of text-to-music (TTM) models. Soliciting human preferences via listening studies is the gold standard for evaluation in TTM, but these studies are expensive to conduct and difficult to compare, as study protocols may differ across systems. Moreover, human preferences might help researchers align their TTM systems or improve automatic evaluation metrics, but an open and renewable source of preferences does not cur…

Floquet Non-Bloch Formalism for a Non-Hermitian Ladder: From Theoretical Framework to Topolectrical Circuits
Koustav Roy, Dipendu Halder, Koustabh Gogoi, B. Tanatar, Saurabh Basu
https://arxiv.org/abs/2507.23744

Floquet Non-Bloch Formalism for a Non-Hermitian Ladder: From Theoretical Framework to Topolectrical Circuits
Periodically driven systems intertwined with non-Hermiticity opens a rich arena for topological phases that transcend conventional Hermitian limits. The physical significance of these phases hinges on obtaining the topological invariants that restore the bulk-boundary correspondence, a task well explored for static non-Hermitian (NH) systems, while it remains elusive for the driven scenario. Here, we address this problem by constructing a generalized Floquet non-Bloch framework that analyticall…

In June 2005, in the RDS Arena, Dublin, WWE held a non-televised Live Event.
One of the matches was John Cena vs Kurt Angle vs JBL in a Triple Threat match with Stone Cold Steve Austin as special guest referee.
#WWE #ProWrestling

#Iceland #Laufey
https://mastodon.social/@EricAlper/115035694743336084

MTalk-Bench: Evaluating Speech-to-Speech Models in Multi-Turn Dialogues via Arena-style and Rubrics Protocols
Yuhao Du, Qianwei Huang, Guo Zhu, Zhanchen Dai, Sunian Chen, Qiming Zhu, Yuhao Zhang, Li Zhou, Benyou Wang
https://arxiv.org/abs/2508.18240

MTalk-Bench: Evaluating Speech-to-Speech Models in Multi-Turn Dialogues via Arena-style and Rubrics Protocols
The rapid advancement of speech-to-speech (S2S) large language models (LLMs) has significantly improved real-time spoken interaction. However, current evaluation frameworks remain inadequate for assessing performance in complex, multi-turn dialogues. To address this, we introduce MTalk-Bench, a multi-turn S2S benchmark covering three core dimensions: Semantic Information, Paralinguistic Information, and Ambient Sound. Each dimension includes nine realistic scenarios, along with targeted tasks t…

The Othello AI Arena: Evaluating Intelligent Systems Through Limited-Time Adaptation to Unseen Boards
Sundong Kim
https://arxiv.org/abs/2508.09292 https://…

The Othello AI Arena: Evaluating Intelligent Systems Through Limited-Time Adaptation to Unseen Boards
The ability to rapidly adapt to novel and unforeseen environmental changes is a cornerstone of artificial general intelligence (AGI), yet it remains a critical blind spot in most existing AI benchmarks. Traditional evaluation largely focuses on optimizing performance within fixed environments, failing to assess systems' flexibility and generalization capabilities when faced with even subtle rule or structural modifications. Addressing this gap, I introduce the Othello AI Arena, a novel benchmar…

ARPaCCino: An Agentic-RAG for Policy as Code Compliance
Francesco Romeo, Luigi Arena, Francesco Blefari, Francesco Aurelio Pironti, Matteo Lupinacci, Angelo Furfaro
https://arxiv.org/abs/2507.10584

ARPaCCino: An Agentic-RAG for Policy as Code Compliance
Policy as Code (PaC) is a paradigm that encodes security and compliance policies into machine-readable formats, enabling automated enforcement in Infrastructure as Code (IaC) environments. However, its adoption is hindered by the complexity of policy languages and the risk of misconfigurations. In this work, we present ARPaCCino, an agentic system that combines Large Language Models (LLMs), Retrieval-Augmented-Generation (RAG), and tool-based validation to automate the generation and verificati…

A Third Paradigm for LLM Evaluation: Dialogue Game-Based Evaluation using clembench
David Schlangen, Sherzod Hakimov, Jonathan Jordan, Philipp Sadler
https://arxiv.org/abs/2507.08491

A Third Paradigm for LLM Evaluation: Dialogue Game-Based Evaluation using clembench
There are currently two main paradigms for evaluating large language models (LLMs), reference-based evaluation and preference-based evaluation. The first, carried over from the evaluation of machine learning models in general, relies on pre-defined task instances, for which reference task executions are available. The second, best exemplified by the LM-arena, relies on (often self-selected) users bringing their own intents to a site that routes these to several models in parallel, among whose r…

Reliable Weak-to-Strong Monitoring of LLM Agents
Neil Kale, Chen Bo Calvin Zhang, Kevin Zhu, Ankit Aich, Paula Rodriguez, Scale Red Team, Christina Q. Knight, Zifan Wang
https://arxiv.org/abs/2508.19461

Reliable Weak-to-Strong Monitoring of LLM Agents
We stress test monitoring systems for detecting covert misbehavior in autonomous LLM agents (e.g., secretly sharing private information). To this end, we systematize a monitor red teaming (MRT) workflow that incorporates: (1) varying levels of agent and monitor situational awareness; (2) distinct adversarial strategies to evade the monitor, such as prompt injection; and (3) two datasets and environments -- SHADE-Arena for tool-calling agents and our new CUA-SHADE-Arena, which extends TheAgentCo…

Inclusion Arena: An Open Platform for Evaluating Large Foundation Models with Real-World Apps
Kangyu Wang, Hongliang He, Lin Liu, Ruiqi Liang, Zhenzhong Lan, Jianguo Li
https://arxiv.org/abs/2508.11452

Inclusion Arena: An Open Platform for Evaluating Large Foundation Models with Real-World Apps
Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) have ushered in a new era of AI capabilities, demonstrating near-human-level performance across diverse scenarios. While numerous benchmarks (e.g., MMLU) and leaderboards (e.g., Chatbot Arena) have been proposed to help evolve the development of LLMs and MLLMs, most rely on static datasets or crowdsourced general-domain prompts, often falling short of reflecting performance in real-world applications. To bridge this criti…

i’ve never flipped the exact same card 😂💀 first National was a success with @Arena Club ! #acpartner #arenaclub #slabpacks