Tootfinder

Editors at Jeff Bezos’s
@… were even more dismissive of the #handsoff pro-democracy movement on 4/6.
More than 1 million Americans expressing their concerns got a tiny box.
The next day, WaPo editors chose to devote half the #FrontPage to a personal achievement - a new hockey scoring leader.
A Putin-supporter who plays in the NHL.
#WaPo
3/5

This https://arxiv.org/abs/2503.23630 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure
Recommender systems operate in closed feedback loops, where user interactions reinforce popularity bias, leading to over-recommendation of already popular items while under-exposing niche or novel content. Existing bias mitigation methods, such as Inverse Propensity Scoring (IPS) and Off-Policy Correction (OPC), primarily operate at the ranking stage or during training, lacking explicit real-time control over exposure dynamics. In this work, we introduce an exposure-aware retrieval scoring appr…

10 ways to make your fantasy football league more fun https://www.espn.com/fantasy/football/story/_/id/45457789/fantasy-football-ways-play-draft-scoring

Fun fact: NUC's with the Intel N150 are certainly not supported everywhere....
FreeBSD 14.2, 14.3,15.0; Void, MXLinux 23.6ahs, Artix daily 20250609, Ubuntu 25.04 install fine, but don't get past the resulting Grub menu.
Fedora 42, Linux Mint 22.1 (surprising!), Slackware Current liveslak Slackeroni & Mate and the Arch iso do.
And of course our all time fav Win 11 Pro 😜
Something to keep in mind when scoring the latest and greatest for that amazingly low p…

Die internationale Bewertungsagentur CRIF hat vermutlich deinen Namen, Anschrift und Geburtsdatum und berechnet damit einen "Score". Banken, Mobilfunker und andere rufen diesen Score ab und entscheiden so, ob du "kreditwürdig" bist.
@noybeu möchte nun Licht ins Dunkel bringen und eine Sammelklage einreichen für jene wo der Score so gar nicht stimmt. Ich habe mitgemacht - hilf auch du auf

CRIF Scoring - Auskunft und Recherche
Die Kreditauskunftei CRIF hat vermutlich deinen Namen, Anschrift und Geburtsdatum und berechnet damit einen "Score". Banken, Mobilfunker und andere rufen diesen Score ab. noyb möchte nun Licht ins Dunkel bringen. Ich habe mitgemacht - hilf auch du:

The Disparate Effects of Partial Information in Bayesian Strategic Learning
Srikanth Avasarala, Serena Wang, Juba Ziani
https://arxiv.org/abs/2506.00627 ht…

The Disparate Effects of Partial Information in Bayesian Strategic Learning
We study how partial information about scoring rules affects fairness in strategic learning settings. In strategic learning, a learner deploys a scoring rule, and agents respond strategically by modifying their features -- at some cost -- to improve their outcomes. However, in our work, agents do not observe the scoring rule directly; instead, they receive a noisy signal of said rule. We consider two different agent models: (i) naive agents, who take the noisy signal at face value, and (ii) Bay…

This https://arxiv.org/abs/2410.16428 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

Neural Scoring: A Refreshed End-to-End Approach for Speaker Recognition in Complex Conditions
Modern speaker verification systems primarily rely on speaker embeddings and cosine similarity. While effective, these methods struggle with multi-talker speech due to the unidentifiability of embedding vectors. We propose Neural Scoring (NS), a novel end-to-end framework that directly estimates verification posterior probabilities without relying on test-side embeddings, making it more powerful and robust to complex conditions, e.g., with multiple talkers. To address the challenge of training …

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring
Sana Ebrahimi, Mohsen Dehghankar, Abolfazl Asudeh
https://arxiv.org/abs/2505.24239 ht…

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring
While multi-agent LLM systems show strong capabilities in various domains, they are highly vulnerable to adversarial and low-performing agents. To resolve this issue, in this paper, we introduce a general and adversary-resistant multi-agent LLM framework based on credibility scoring. We model the collaborative query-answering process as an iterative game, where the agents communicate and contribute to a final system output. Our system associates a credibility score that is used when aggregating…

This https://arxiv.org/abs/2212.05260 has been replaced.
link: https://scholar.google.com/scholar?q=a

Examining marginal properness in the external validation of survival models with squared and logarithmic losses
Scoring rules promote rational and honest decision-making, which is important for model evaluation and becoming increasingly important for automated procedures such as `AutoML'. In this paper we survey common squared and logarithmic scoring rules for survival analysis, with a focus on their theoretical and empirical properness. We introduce a marginal definition of properness and show that both the Integrated Survival Brier Score (ISBS) and the Right-Censored Log-Likelihood (RCLL) are theoretic…

Spelt sourdough. #sourdough #retrosuburbia

This https://arxiv.org/abs/2503.07792 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Efficient Neural Clause-Selection Reinforcement
Clause selection is arguably the most important choice point in saturation-based theorem proving. Framing it as a reinforcement learning (RL) task is a way to challenge the human-designed heuristics of state-of-the-art provers and to instead automatically evolve -- just from prover experiences -- their potentially optimal replacement. In this work, we present a neural network architecture for scoring clauses for clause selection that is powerful yet efficient to evaluate. Following RL principle…

Hierarchical Intention-Aware Expressive Motion Generation for Humanoid Robots
Lingfan Bao, Yan Pan, Tianhu Peng, Chengxu Zhou
https://arxiv.org/abs/2506.01563

Hierarchical Intention-Aware Expressive Motion Generation for Humanoid Robots
Effective human-robot interaction requires robots to identify human intentions and generate expressive, socially appropriate motions in real-time. Existing approaches often rely on fixed motion libraries or computationally expensive generative models. We propose a hierarchical framework that combines intention-aware reasoning via in-context learning (ICL) with real-time motion generation using diffusion models. Our system introduces structured prompting with confidence scoring, fallback behavio…

In other news, I can’t concentrate because tomorrow ………… 😱🤍♥️ #VfB #dfbpokal #wirholendenpokal

A Quantum-Inspired Conceptual Model of Collective Subjective Evaluation via Bloch Sphere Dynamics and Like-Polarization
Bumned Soodchomshom
https://arxiv.org/abs/2506.01847

A Quantum-Inspired Conceptual Model of Collective Subjective Evaluation via Bloch Sphere Dynamics and Like-Polarization
We propose a conceptual quantum-inspired model to describe subjective evaluation processes such as taste testing or consumer preference scoring-through the continuous time evolution of cognitive states represented on the Bloch sphere. Unlike conventional quantum cognition models that rely on projective measurements and state collapse, our framework treats evaluation as a weak or generalized measurement, preserving quantum coherence during the act of judgment. The mental state of preference is m…

Mixture of Encoders is a vector-native alternative that models both structured and unstructured data in a unified embedding space. Join Filip Makraduli as he introduces the method, demonstrates how it powers natural language search and real-time recommendations, and shares open-source tools and benchmarks for replacing complex hybrid stacks.
Learn more:

The UK did NOT deserve zero points from the public, and Malta - 8 points?! The scoring is just bizarre. #Eurovision

Stochastically Dominant Peer Prediction
Yichi Zhang, Shengwei Xu, David Pennock, Grant Schoenebeck
https://arxiv.org/abs/2506.02259 https://

Stochastically Dominant Peer Prediction
Eliciting reliable human feedback is essential for many machine learning tasks, such as learning from noisy labels and aligning AI systems with human preferences. Peer prediction mechanisms incentivize truthful reporting without ground truth verification by scoring agents based on correlations with peers. Traditional mechanisms, which ensure that truth-telling maximizes the expected scores in equilibrium, can elicit honest information while assuming agents' utilities are linear functions of the…

Towards Temporally Explainable Dysarthric Speech Clarity Assessment
Seohyun Park, Chitralekha Gupta, Michelle Kah Yian Kwan, Xinhui Fung, Alexander Wenjun Yip, Suranga Nanayakkara
https://arxiv.org/abs/2506.00454

Towards Temporally Explainable Dysarthric Speech Clarity Assessment
Dysarthria, a motor speech disorder, affects intelligibility and requires targeted interventions for effective communication. In this work, we investigate automated mispronunciation feedback by collecting a dysarthric speech dataset from six speakers reading two passages, annotated by a speech therapist with temporal markers and mispronunciation descriptions. We design a three-stage framework for explainable mispronunciation evaluation: (1) overall clarity scoring, (2) mispronunciation localiza…

HelixDesign-Binder: A Scalable Production-Grade Platform for Binder Design Built on HelixFold3
Jie Gao, Jun Li, Jing Hu, Shanzhuo Zhang, Kunrui Zhu, Yueyang Huang, Xiaonan Zhang, Xiaomin Fang
https://arxiv.org/abs/2505.21873

HelixDesign-Binder: A Scalable Production-Grade Platform for Binder Design Built on HelixFold3
Protein binder design is central to therapeutics, diagnostics, and synthetic biology, yet practical deployment remains challenging due to fragmented workflows, high computational costs, and complex tool integration. We present HelixDesign-Binder, a production-grade, high-throughput platform built on HelixFold3 that automates the full binder design pipeline, from backbone generation and sequence design to structural evaluation and multi-dimensional scoring. By unifying these stages into a scalab…