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988 storiesPublic health and medicine worldwide — sourced from WHO News.
PERL: Pinyin Enhanced Rephrasing Language Model for Chinese ASR N-best Error Correction
arXiv:2412.03230v3 Announce Type: replace Abstract: Chinese ASR correction is challenging because errors are often \emph{phonetic} (many characters share similar Pinyin) while the correction model must also obey a \emph{…
Computing Barycentres of Measures for Generic Transport Costs
arXiv:2501.04016v4 Announce Type: replace Abstract: Wasserstein barycentres represent average distributions between multiple probability measures for the Wasserstein distance. The numerical computation of Wasserstein bar…
A Dichotomy Theorem for Ordinal Ranks in MSO
arXiv:2501.05385v4 Announce Type: replace Abstract: We focus on formulae $\exists X.\, \varphi(\vec{Y}, X)$ of monadic second-order logic over the full binary tree, such that the witness $X$ is a well-founded set. The or…
GenTL: A General Transfer Learning Model for Building Thermal Dynamics
arXiv:2501.13703v2 Announce Type: replace Abstract: Transfer Learning (TL) is an emerging field in modeling building thermal dynamics. This method reduces the data required for a data-driven model of a target building by…
What does it take to certify a conversion checker?
arXiv:2502.15500v3 Announce Type: replace Abstract: We report on a detailed exploration of the properties of conversion (definitional equality) in dependent type theory, with the goal of certifying decision procedures fo…
Simulating Automotive Radar with Lidar and Camera Inputs
arXiv:2503.08068v3 Announce Type: replace Abstract: Low-cost millimeter automotive radar has received more and more attention due to its ability to handle adverse weather and lighting conditions in autonomous driving. Ho…
Reinforcement Learning in Switching Non-Stationary Markov Decision Processes: Algorithms and Convergence Analysis
arXiv:2503.18607v2 Announce Type: replace Abstract: We introduce the Switching Non-Stationary Markov Decision Process (SNS-MDP) framework, in which the environment transitions among a finite set of MDPs governed by a lat…
Scaling Evaluation-time Compute with Reasoning Models as Evaluators
arXiv:2503.19877v3 Announce Type: replace Abstract: As language model (LM) outputs get more and more natural, it is becoming more difficult than ever to evaluate their quality. Simultaneously, increasing LMs' "thinking" …
Variants of thick-restart Lanczos for the Bethe-Salpeter eigenvalue problem
arXiv:2503.20920v3 Announce Type: replace Abstract: The non-Hermitian Bethe-Salpeter eigenvalue problem, in the definite case, is a structured eigenproblem, with real eigenvalues coming in pairs $\{\lambda,-\lambda\}$ wh…
Primal-dual algorithm for contextual stochastic combinatorial optimization
arXiv:2505.04757v2 Announce Type: replace Abstract: This paper introduces a novel approach to contextual stochastic optimization, integrating operations research and machine learning to address decision-making under unce…
Conditioning Residuals for Diffusion Models via Representation Feedback
arXiv:2505.10999v4 Announce Type: replace Abstract: Diffusion models now serve as a common foundation for multimedia generation, and useful intermediate representations emerge during their generative training. Standard a…
LaViDa: A Large Diffusion Language Model for Multimodal Understanding
arXiv:2505.16839v4 Announce Type: replace Abstract: Modern Vision-Language Models (VLMs) can solve a wide range of tasks requiring visual reasoning. In real-world scenarios, desirable properties for VLMs include fast inf…
Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models
arXiv:2505.17974v2 Announce Type: replace Abstract: The Fisher information is a fundamental concept for characterizing the sensitivity of parameters in neural networks. However, leveraging the full observed Fisher inform…
Fully Offline Reinforcement Learning
arXiv:2505.22442v3 Announce Type: replace Abstract: Offline RL (ORL) promises safe and sample-efficient deployment but existing methods rely on undocumented online interactions for hyperparameter tuning and lack reliable…
Captivity-Escape Games as a Means for Safety in Online Motion Generation
arXiv:2506.01399v3 Announce Type: replace Abstract: This paper addresses conservatism, limited numerical accuracy, and high computational effort in existing methods ensuring safety by design in online model-based motion …
SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems
arXiv:2506.02255v2 Announce Type: replace Abstract: Most existing safe reinforcement learning (RL) benchmarks focus on robotics and control tasks, offering limited relevance to high-stakes domains that involve structured…
Game Theory in Social Media: A Stackelberg Model of Collaboration, Conflict, and Algorithmic Incentives
arXiv:2506.05373v2 Announce Type: replace Abstract: This research models the social media content creation and the choices that creators make as a Stackelberg game. The platform's algorithms, such as TikTok's and YouTube…
SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging
arXiv:2506.08297v2 Announce Type: replace Abstract: Attention is the critical component of a transformer. Yet the quadratic computational complexity of vanilla full attention in the input size and the inability of its li…
The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis
arXiv:2506.11378v3 Announce Type: replace Abstract: Sampling in score-based diffusion models can be performed by solving either a reverse-time stochastic differential equation (SDE) parameterized by an arbitrary stochast…
Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning
arXiv:2506.12529v2 Announce Type: replace Abstract: Preference-based Reinforcement Learning (PbRL) entails a variety of approaches for aligning models with human intent to alleviate the burden of reward engineering. Howe…