516 articles
Method to align speech and co-speech gestures using semantic motion anchors: discretizes 3D gestures into motion primitives, verbalizes them into structured descriptions, and provides contrastive supervision. 8.2% R@1 improvement on BEAT2; retrieved gestures are semantically meaningful rather than generic motion patterns.
TRINE is an FPGA accelerator and compiler for end-to-end multimodal inference (ViT, CNN, GNN, transformers) without reconfiguration. It unifies layers as matrix operations, switches between systolic and SIMD architectures at runtime, and applies in-stream token pruning. On Alveo U50 and ZCU104, it achieves 22.57x latency reduction vs RTX 4090 while consuming 20-21 W.
Theoretical study of padded transformer expressivity. Authors prove polynomially padded constant-precision transformers are equivalent to L-uniform AC⁰, while growing-precision ones achieve L-uniform TC⁰. Model depth and numeric precision are key factors; width beyond logarithmic does not increase expressivity.
GC-MoE is a graph-conditioned mixture-of-experts framework for spatio-temporal traffic forecasting. It assigns each node a personalized combination of frozen GNN experts based on graph topology and recent input windows. Trained on PEMS04, PEMS07, METR-LA, and PEMS-BAY, the model improves MAE with only ~17K trainable parameters on top of 1.5M frozen expert weights.
Theoretical paper on universal multiclass transductive online learning with unbounded label space. Characterizes learnability: only two possible optimal rates (bounded or logarithmic). Introduces LCLL tree combinatorial structure and extends results to agnostic and stochastic settings.
First model extraction attack targeting graph neural networks exploiting explainability interfaces. Method uses binary explanation masks and Monte Carlo edge sensitivity estimation to bypass strict black-box constraints. Code released on GitHub.
New method to identify whether a dataset was used in model training by analyzing semantic correlation descriptors (SCDs) learned internally. White-box approach outperforms black-box baselines (RMIA, LiRA) with gains up to 60% ROC-AUC on NLI, emotion, and medical text classification tasks.
A user proposes using HTML as the primary output language for LLM agents to generate interactive and animated content directly in chat via iframes. The approach is tested with Qwen 3.6-27B on dual 3090s.
npm-scan is a supply chain security tool for the npm ecosystem. It detects vulnerabilities and malicious dependencies in JavaScript packages.
A researcher built Mamba-Titan-1.4B-Reasoning (2.54B params MoE) on RTX 3060 by freezing a 1.4B Mamba-1 backbone and adding 8 trainable experts. Trained on DeepSeek CoT traces, the model developed a 'vault door' mechanism: the </think> token isolates at the smallest norm (1.991 vs 4.742 mean) to control latent reasoning termination.
Developer built an MCP server enabling LLMs to explore the Mandelbrot set with rendering tools, presets for interesting regions (Seahorse Valley, Elephant Valley), inspection tools for iteration counts and viewport settings, color palette selection, and HTML gallery generation. Tested with Qwen 3.6-35B. GitHub: openmandel.
A report exposes human rights costs of generative AI systems, including worker exploitation for data annotation, intellectual property violations, and environmental impacts. The study documents unethical practices across the model production pipeline.
MiniMax M3 announced with 1M token context window, advanced coding and agentic capabilities, multimodal support. Positioned at the frontier of high-performance open-source models.
Minimax M3 is rolling out on the API. The model was spotted approximately 15 minutes ago in a screenshot.
A r/LocalLLaMA user recommends investing in GPUs rather than using workarounds for limited VRAM. He reports running Qwen 3.6-27B in Q8 with f16 K/V cache on 2×used RTX 3090s, achieving 128k context length (1399 pp, 104 tg).
Vercel Blob now supports OIDC authentication as default for new projects. Vercel-issued OIDC tokens are short-lived and auto-rotating, eliminating the need for long-lived tokens. Vercel Functions and CLI automatically receive the token.