On the robustness of noisy solutions in non-convex neural networks
Overlap gap property extended to finite-temperature neural network optimization, characterizing algorithmic accessibility of noisy solutions.
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Overlap gap property extended to finite-temperature neural network optimization, characterizing algorithmic accessibility of noisy solutions.
CoRAS adaptively selects acquisition/compression rates for high-resolution imaging using conformal prediction to bound reconstruction error probabilistically.
Deciding what's real on the Internet won't be easy in the future.
Desktop-Delta Bench isolates whether computer-use agents understand GUI state transitions caused by actions, beyond end-task success metrics.
UniMem hybrid episodic-parametric memory for LLM agents resolves stability-plasticity dilemma across boundary-agnostic evolving task streams.
Study shows LLM-generated Kubernetes security patches improve when prompted with runtime service topology context rather than isolated KSPM findings.
Solver-guided LLM framework for instance-wise operations research formulation selection in multi-warehouse inventory allocation.
Messier consolidates 957K evaluation records across 30 benchmarks and 714 agents to enable comparable cross-benchmark agent assessment.
RSIBench-Data isolates LLM agents' data-centric research capability in post-training loops, decoupling research from systems optimization.
DecoEvo decouples scoring to co-evolve LLM solver and rubric generator in text space, addressing evaluation bottlenecks.
OrchBench: simulation-based benchmark for evaluating multi-agent orchestration plans in isolation without conflating with worker/tool/environmental noise.
Physics-informed broad learning system (PI-BLS) solves PDEs via backpropagation-free broad RdNNs with embedded differential operators.
Convergence analysis of Deep Galerkin Method and Physics-Informed Neural Networks for solving nonlinear PDEs.
Controlled factorial study isolates matcher architecture, model variant, and size effects on entity matching using Qwen3 family across bi-encoder, cross-encoder, and generative approaches.
Physics Transformer adapts attention for PDE solving via functional tokenization respecting infinite-dimensional field structure.
Generalization bounds via Rademacher complexity for k-neighborhood data augmentation strategy in learning optimization solver iterates.
Neural networks solve coupled Dyson-Schwinger equations for Yang-Mills gauge theory with percent-level agreement to fixed-point solutions.
Study using gpt-5.6-sol shows LLMs produce safer advice when dangerous objectives are mediated through agent transformation versus direct exposure.
Agentic context management frames token cost and memory bloat as lifecycle and architecture problems, not storage-retrieval, for production agent reliability.
OpenAI made a mistake setting up what it called a “highly isolated” testing environment and sandbox. According to cybersecurity experts, that human mistake is what made the AI-powered attack on Hugging Face possible.
PG-KINN: physics-informed Petrov-Galerkin Kolmogorov-Arnold Networks for forward and inverse PDE solving with improved interpretability.
LLMs extract natural-language abstractions from solution traces to improve problem-solving via retrieval and RL-augmented training on math tasks.
Learned finite volume solver for 2D Euler equations with entropy-stability guarantees and validated under frozen benchmarks.
OpenAI CEO Sam Altman. | Bloomberg via Getty Images OpenAI says its AI models mistakenly breached open-source AI platform Hugging Face during internal testing. In a blog post on Tuesday, OpenAI writes that GPT-5.6 Sol and "an even more capable pre-release model" discovered…
Off-Context GRPO uses privileged training information (solution prefixes) to enable RL with verifiable rewards on hard reasoning problems avoiding zero-gradient plateaus.
Methods for assessing student team performance in tabletop crisis-response exercises using recorded actions and communication data.
Gritt is coming out of stealth with $34 million and plan to automate the hardest tasks on construction sites.
The final approval settles one case, but it doesn't resolve the broader issue of using copyrighted works to train AI models.
Tutorial on agentic AI architectures for smart grids covering forecasting, optimization, and control with external solvers.
Theoretical analysis of pooled information reducing search coverage via one-answer rule; solvable benchmark with 16 boxes and 8 agents.