Neuro-Symbolic ODE Discovery with Latent Grammar Flow
Latent Grammar Flow: neuro-symbolic generative framework for discovering differential equations from data using discrete flow models.
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Latent Grammar Flow: neuro-symbolic generative framework for discovering differential equations from data using discrete flow models.
Participatory design process for reflexive governance of ACM FAccT conference combining in-person sessions, polling, and community input.
Optimal transport methods for quantifying domain shifts in geographic space to assess cross-region model adaptation.
Conformal prediction framework for LLMs using Layer-Wise Information scores from internal representations for robust uncertainty calibration.
Prices for "critical components" are surging because of massive data center investments.
AIFIND method for incremental face forgery detection using semantic anchors to prevent feature drift and catastrophic forgetting.
ChemGraph-XANES: agentic framework automating X-ray absorption spectroscopy simulation and analysis from natural-language task specifications.
RISE: scalable data attribution method for LLMs focusing on output-layer influence hotspots via sketching instead of full gradient indexing.
The gap between AI insiders and everyone else is widening, and the spending, suspicion, and even new vocabulary are starting to show it. While OpenAI is busy buying up everything from finance apps to talk shows, a certain shoe company just rebranded as an AI infrastructure…
Conditional GANs with LSTM for generating synthetic cryptocurrency price time series to address privacy and access restrictions.
Dairy Queen is becoming the latest fast food chain to get in on AI, as it's bringing a chatbot to dozens of its drive-thrus across the US and Canada. It aims to help speed up drive-thru service and "encourage customers to add more food to their orders," according to The Wall…
MARCH: multi-agent framework emulating radiology department hierarchy for collaborative 3D CT report generation with reduced hallucinations.
JumpLoRA uses JumpReLU gating to induce sparsity in LoRA adapters, enabling dynamic parameter isolation for continual learning without catastrophic forgetting.
AtManRL trains differentiable attention masks via RL to improve faithfulness of chain-of-thought reasoning in LLMs by identifying decision-critical tokens.
SWNet applies Pyramid Vision Transformer and bimodal fusion to detect camouflaged weeds using visible and near-infrared imagery in agricultural settings.
Study unifies implicit reward and nudging test-time alignment methods as rejection sampling from graphical models, comparing rejection criteria for LLM alignment.
Paper predicts distributed training time accounting for mixed-precision settings, showing 2.4x variation and significant error in precision-agnostic models.
Dataset and XGBoost model for sentiment analysis of German Sign Language fairy tales using LLM-annotated text and MediaPipe-extracted video features.
Study evaluates LLM performance on automated qualitative coding of firearm violence survivor interviews, examining both capability gains and ethical risks.
The company says Claude Design is intended to help people like founders and product managers without a design background share their ideas more easily.
The development of socially acceptable nuclear reactors requires that they are safe, clean, efficient, economical, and sustainable. Meeting these requirements... The development of socially acceptable nuclear reactors requires that they are safe, clean, efficient, economical…
Tabular foundation models perform molecular property prediction via in-context learning without task-specific fine-tuning, matching or exceeding classical baselines on small datasets.
Univariate Channel Fusion (UCF) reduces computational cost for multivariate time series classification, enabling deployment on IoT and wearable devices.
SCRIPT is an adaptive intelligent tutoring system for Python programming leveraging generative models, designed for university-level teaching and research.
Researchers distilled reasoning systems from humanities scholars' published work into LLM inference constraints to automate doctoral supervision, peer review, and lecturing tasks.
Theoretical analysis establishes sample complexity lower bounds for stochastic shortest path problems with generative models, revealing challenges when minimum cost approaches zero.
Critical examination of AI accountability frameworks argues industry stakeholders use rhetorical decoys to obscure power consolidation and political economy dynamics.
Proposes multi-modal CNN framework combining CT radiology and histopathology imaging for improved lung cancer diagnosis and interpretability.
Anthropic Labs launches Claude Design, enabling collaborative visual content creation including designs, prototypes, and slides.