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Post-hoc SFT training makes model-organism interpretability unrealistically easy; 54-model suite shows methodology strongly affects white-box evaluation validity.
RF drone identification benchmarks leak data via cross-validation on continuous recordings; theory and measurement expose inflated reported accuracies.
FinKG-News framework constructs news-anchored financial knowledge graphs for explainable credit risk report generation via in-context learning.
SEAHORSE: unified benchmark framework standardizing preprocessing, splits, and evaluation for spatiotemporal point process neural models.
PedNStream: open-source Python simulator for macroscopic pedestrian network flow based on Link Transmission Model with stochastic dynamics.
Graph-based, training-free framework for reading order inference in complex historical documents using lightweight language-model signals.
Generative model-based particle filtering for Bayesian data assimilation in high-dimensional state estimation problems.
Mathematical framework extending Cover's function-counting theory to characterize binary classification on low-dimensional data structures.
Survey chapter on LLM mechanisms: Transformer architecture, attention, emerging capabilities, and layer-wise implementation of reasoning.
Evan Feinberg and Sergey Edunov discuss diffusion models for drug discovery at Genesis Molecular AI, including PEARL's OpenBind performance and protein co-folding advances.
Logit-Contribution Scoring method identifies attention heads performing non-literal synthesis in long-context LLM retrieval tasks.
Benchmark of foundation models vs. radiomics for lung CT analysis, isolating contributions of feature extractors, classifiers, and segmentation.
KnowledgeDebugger: GUI tool for knowledge localization and editing in Transformers, integrating EasyEdit library with no-code interface.
Let’s start with a game. Open up your chatbot of choice—Claude, ChatGPT, Gemini—and type “Give me a random number between 1 and 10.” You’re going to get 7. Almost always. Now type “Another” and you’ll get 3 or 4. Type “Another” again and you’ll get 8 or 9. That won’t work every time—but if it…
Multitask learning framework for mixed-type outcomes using shared sparsity and monotone transformation-invariant loss functions.
Warp CEO Zach Lloyd argues automated software factories will become standard for major projects, outlining preparation strategies for engineers.
SWE-Doctor: LLM-based code agent using multi-faceted bug reproduction tests for runtime diagnosis to improve software patch generation.
LLM-powered agent simulates semantic human trajectories in zoned environments to reduce costly real-world data collection.
Venice AI is already profitable, with annualized run-rate revenues of over $70 million, CEO Erik Voorhees said.
ML pipeline detects stress from speech using speaker diarization on Trier Social Stress Test data.
Google's 24/7 agentic assistant, Gemini Spark, comes to Mac alongside other improvements, like real-time tracking and support for more apps.
TRCGL-Net addresses long-tail chest X-ray classification via diffusion-based augmentation and label co-occurrence modeling.
Bayesian uncertainty propagation framework for agentic RAG systems identifies failure points in multi-hop reasoning.
Svarna open-source corpus workbench integrates 507M words across Modern Greek registers and dialects.
Survey of 200+ VIS4ML papers maps how humans inject knowledge into ML workflows via interactive visualization.
Zero-shot benchmark evaluates Claude, GPT-5.4, and Gemini on fine-grained 13-class emotion classification.
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Controlled CV-versus-DV quantum neural network comparison on wafer-map defect classification for yield.
LeNEPA self-supervised method for time-series representation learning without augmentation.
Aionoscope diagnostic tool debugs latent-state accessibility in frozen time-series representations.