Hypergraph Generation via Structured Stochastic Diffusion
HEDGE: generative model for hypergraphs using structured stochastic diffusion with two-sided heat operator to preserve higher-order interaction structure.
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HEDGE: generative model for hypergraphs using structured stochastic diffusion with two-sided heat operator to preserve higher-order interaction structure.
CuBridge: LLM-based framework for generating and reconstructing high-performance CUDA attention kernels with improved correctness and efficiency.
Graph-SND: sparse-graph generalization of System Neural Diversity metric for multi-agent RL, reducing quadratic-time computation to O(|E|) with unbiased estimation.
Position paper argues embodied AI deployment in sensitive environments creates systemic privacy crisis requiring fundamental privacy-utility trade-off design.
Apple has agreed to pay $250 million to settle a class action lawsuit for overpromising the arrival of Siri's AI features.
Decentralized learning framework where heterogeneous nodes train learned neighbor-trust policies for collaborative inference deployment in IoT.
Spatial regionalization method using minimum description length principle to partition time-evolving domains without pre-specifying region count.
Uno-Orchestra: unified LLM multi-agent orchestration policy that jointly learns task decomposition and worker selection via RL, benchmarked on 13 suites.
Reward models fail to capture socially desirable preferences across bias, safety, morality, and ethics—exposing hidden alignment failures in LLM training.
I was working on a project, I got hungry went to eat and take a shower while also having this be my break, came back, session was at 0%, typed to claude that the animation of the CSS needs to be slower and more subtle, he changed it, 45% usage. Nowhere did it warn me that…
SLYP agent discovers Windows COM privilege-escalation race conditions via agentic binary exploration and generates debugger-verified proof-of-concept exploits.
Ethos says it is onboarding 35,000 experts per week
Fine-tuning study on 25M-parameter transformer for jazz chord generation—domain adaptation via pop-to-jazz transfer learning.
DualTCN physics-constrained TCN for marine electromagnetic inversion achieves 25% loss reduction over baselines.
Theoretical analysis shows adaptive agentic queries don't outperform fixed in-context queries under ReLU realizability constraints.
Accurate forecasting of electric vehicle (EV) charging demand is critical for grid stability, infrastructure planning, and real-time charging optimization. In this work, we study the problem of early prediction of charging demand, where the total energy of a session is…
Reddit comment expressing skepticism about outdoor infrastructure installation due to theft concerns.
Long-horizon LLM agents depend on intermediate information-gathering turns, yet training feedback is usually observed only at the final answer, because process-level rewards require high-quality human annotation. Existing turn-level shaping methods reward turns that increase…
Anthropic raises Claude usage limits and partners with SpaceX for compute infrastructure to expand capacity.
Activation-based steering provides control of LLM behavior at inference time, but the dominant paradigm reduces each concept to a single direction whose geometry is left largely unexamined. Rather than selecting a single steering direction, we use conceptors: soft projection…
A Tree Markov Decision Problem (T-MDP) is a finite-horizon MDP with a starting state $s_{1}$, in which every state is reachable from $s_{1}$ through exactly one state-action trajectory. T-MDPs arise naturally as abstractions of decision making in sequential games with perfect…
Leaders from Coinbase, M13, and Mignano Law Group talk about how M&A is an early-stage strategy at TechCrunch Disrupt 2026. Register to hear this live.
AI-assisted development tools enable rapid prototyping of services but often lack awareness of architectural constraints, infrastructure dependencies, and organizational standards required in production environments. Consequently, generated artifacts may exhibit brittle…
Study shows expert alignment in LLMs varies substantially by evaluator and task subjectivity; reveals tacit criteria and temporal inconsistency as core obstacles.
Geometric continuity in deep networks explained by residual connections and symmetry-breaking nonlinearities coordinating weight updates across layers.
Skill neologisms—soft tokens optimized for new capabilities—enable selective LLM skill extension without catastrophic forgetting or context limits.
ReshapeOT improves optimal transport for distribution shifts by reshaping ground metrics using observed sample displacements.
Simon Willison observes convergence between vibe coding and agentic engineering in practical AI-assisted development workflows.
TabEmbed introduces first generalist embedding model for tabular data and TabBench, a comprehensive benchmark for tabular understanding evaluation.
EP-GRPO fixes credit assignment failures in GRPO-based LLM reasoning via token-level entropy, polarity-aware rewards, and zero-variance collapse mitigation.