Position: agentic AI orchestration should be Bayes-consistent
Position paper argues agentic AI orchestration layers should use Bayesian decision theory for handling uncertainty in tool selection and resource allocation.
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Position paper argues agentic AI orchestration layers should use Bayesian decision theory for handling uncertainty in tool selection and resource allocation.
Technical paper on randomized-subspace Nesterov acceleration for first-order optimization with low-dimensional projected gradients.
Empirical study on EHR data windows for predicting hospital readmissions after joint arthroplasty using structured and unstructured clinical notes.
Framework to assess when LLMs should call external tools via decision theory, focusing on web search tool use and knowledge integration.
Federated multimodal unlearning approach (EASE) addressing cross-modal entanglement in decentralized image-text model training.
New results suggest Mythos' cyber threat isn't "a breakthrough specific to one model."
Decoupled relation alignment method (DRSA) for extending graph foundation models to multi-domain heterogeneous graphs.
Companies are taking control of their own data to tailor AI for their needs. The challenge lies in balancing ownership with the safe, trusted flow of high‑quality data needed to power reliable insights. This conversation from MIT Technology Review’s EmTech AI conference…
Anthropic gates new Claude capabilities (Ultraplan, Ultrareview, Cloud Security) behind paid Cloud plans rather than open releases, fragmenting the skill ecosystem and limiting composability.
Combinatorial Complex Weisfeiler-Lehman test extending WL expressiveness framework to unified topological structures.
Apple's support app includes claude.md files, indicating internal Claude integration or documentation.
Decentralized MCMC algorithm for constrained sampling via proximal stochastic gradient Langevin dynamics with convergence guarantees.
ICASSP 2025 challenge entry using diffuse RIR generation and quality filtering to improve speaker distance estimation models.
Compositional graph embedding framework using Aitchison geometry for interpretable node representations as simplex-valued mixtures.
Reddit speculation on status of rumored OpenAI-Jony Ive hardware/product collaboration; no new information.
PFlash: speculative prefill technique achieves 10x speedup on 128K context with quantized 27B models on RTX 3090, open-source C++/CUDA implementation.
Deep kernel learning with transformer embeddings stratifies glaucoma patient risk from sparse EHR data; medical ML application without LLM/frontier AI component.
FinSafetyBench: bilingual red-teaming benchmark (14 subcategories) for evaluating LLM refusal of financial crimes and ethics violations grounded in real cases.
MemCoE: cognition-inspired two-stage memory optimization for LLM agents to learn personalized long-term user preferences within context windows.
FedKPer addresses generalization/personalization in medical federated learning via knowledge personalization; healthcare ML infrastructure without LLM focus.
Persona-induced latent variable model for adaptive user querying under budget constraints; ML methodology tangential to frontier LLM research.
ML-Bench&Guard: policy-grounded multilingual safety benchmark (14 languages) aligning LLMs with region-specific regulations and cultural context.
Reddit user reports severe hallucinations and task non-compliance in Claude Opus 4.7 on May 1st; anecdotal complaint without reproduction details.
Developer demo of generative game engine using Gemini 3 for spell generation with 6-player multiplayer physics simulation.
The Pentagon has struck deals with OpenAI, Google, Microsoft, Amazon, Nvidia, Elon Musk's xAI, and the startup Reflection, allowing the agency to use their AI tools in classified settings, according to an announcement on Friday. At the same time, the Defense Department has left…
Intel releases AutoRound, a low-bit quantization algorithm optimized for CPU/XPU/CUDA with vLLM and Transformers compatibility.
Obfuscated Natural Number Game benchmarks LLM prover architectural reasoning vs. pattern matching; evaluates formal theorem-proving capabilities beyond saturation.
Elon Musk spent the better part of three days on the witness stand this week in his lawsuit against OpenAI, and it’s already getting messy. Emails, texts, and his own tweets are surfacing in court, and there are plenty more witnesses to come. Musk’s argument against OpenAI? By…
MathArena: continuously-maintained evaluation platform aggregating mathematics benchmarks to track LLM progress; successor to static math benchmarks.
Augmented Lagrangian Multiplier Network stabilizes state-wise constraint enforcement in RL; safety optimization methodology without LLM specificity.