Budget Constraints as Riemannian Manifolds
Casts budget-constrained group assignment as Riemannian manifold optimization for mixed-precision quantization and expert selection.
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Casts budget-constrained group assignment as Riemannian manifold optimization for mixed-precision quantization and expert selection.
PEACE framework uses cross-modal alignment and curriculum learning for transfer of adult ECG models to pediatric diagnosis.
I just went through one of the most infuriating support experiences with Claude / Anthropic, and I need to get this off my chest. I paid extra for Claude Design credits, about €80 worth, and used them to create actual designs I needed for work. Then those designs just vanished. Not “hard to find,” not “moved somewhere else”: gone. Completely disappeared after I paid for the service. I opened support and immediately asked for a refund or, at the very least, to speak to a human. What I got instead was Fin, the AI “agent,” which looped me endlessly through the same bullshit: “Try clearing cac...
Task-aware evaluation framework for blood glucose forecasting with event-level metrics addressing high-risk regimes in clinical decision support.
In the beginning, platforms like Fiverr were places where people could hire freelancers to do specialized creative labor using skills that took years to develop. In the age of generative AI, though, many of these gig workers have embraced the technology in order to meet clients' demands. These workers' profiles emphasize that they can quickly (and cheaply) whip up images and videos of just about anything. But often, what their clients are looking for are dramatic animations inspired by the Christian Bible. On TikTok, YouTube, Instagram, and Facebook it is very easy to stumble across AI-genera...
Combines multimodal energy-based models with VAE refinement via MCMC to improve inter-modal dependency capture in generative modeling.
On-policy self-distillation for GUI grounding provides dense token-level supervision from single rollouts in autonomous agent GUI interaction.
Adapts stochastic stress optimization from graph drawing to dimensionality reduction, replacing SMACOF with SGD-based methods.
PROBE recasts MLIP uncertainty quantification as selective classification using frozen backbone embeddings for interatomic potential reliability.
Framework for autonomous materials discovery embedding manufacturability constraints to bridge lab-to-deployment gap.
First formal study of machine unlearning in offline multi-armed bandits with privacy and decision-quality tradeoffs.
New metric (Class Angular Distortion Index) for evaluating cluster arrangement in dimensionality reduction visualizations.
Reddit post claims Elon Musk discussed AI extinction risk at trial; judge reportedly restricted the topic.
BlenderRAG retrieval system improves LLM-to-Blender code generation success from 40.8% to 70% via multimodal examples.
H-RAG hierarchical parent-child retrieval pipeline for multi-turn RAG conversation tasks in SemEval-2026.
EGREFINE frames database schema refinement as optimization to improve Text-to-SQL accuracy while preserving query equivalence.
SC-Taxo generates hierarchical scientific taxonomies using LLMs with semantic consistency constraints across hierarchy levels.
Study of embedding similarity invariance under machine translation across 28 languages using Manifesto Corpus.
Xiaomi's MiMo-V2.5-Pro and Kimi K2.6 dominate custom social deduction game benchmark, outperforming other open-weights models.
gemma-4-31B-it-DFlash open-weights model released on Hugging Face, pending llama.cpp integration.
Task vector analysis reveals structural conflicts (magnitude, sign, module-wise) preventing SFT-RLVR integration in LLMs.
Reddit discussion expressing sentiment that AI progress remains in early stages without substantive technical claims or data.
ECCV reviews should be out by 2nd May. Since no exact time was specified this year, they’ll likely be released sometime within the next 48 hours. Hopefully, the reviews go well for everyone. We can use this thread to discuss them, as I haven’t seen one started yet.
Encoding probe method reconstructs LLM representations using interpretable features, avoiding confounds of decoding probes.
User demonstrates closed-loop SVG generation using Qwen3.6-27B with Agno framework and vision feedback for iterative refinement.
User demonstrates DFlash speculative decoding in llama.cpp with Qwen3.5-35B-A3B on RTX 2080 SUPER 8GB, achieving inference on VRAM-constrained hardware.
Microsoft is launching a new AI agent inside Word that's specifically designed for legal teams. Legal Agent handles document edits, negotiation history, and complex documents to help legal teams handle tasks like reviewing contracts. "Instead of relying on general AI models to interpret commands, the agent follows structured workflows shaped by real legal practice, managing clearly defined, repeatable tasks like reviewing contracts clause by clause against a playbook," explains Sumit Chauhan, corporate vice president of Microsoft's Office Product Group. The Legal Agent can work with existing ...
Reddit discussion speculating on TurboQuant adoption timeline and asymmetric K/V quantization gains.
Reddit discussion about granting Codex API access to local macOS environment; user seeks opinions on security/feasibility.