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Benchmark compares transfer learning, active learning, and pseudo-labeling for label-efficient cloud classification on Ground-based Cloud Dataset.
PersonaWeaver controls LLM-generated character diversity in procedural generation by mitigating behavioral homogeneity through structured persona attributes.
In a speech Tuesday morning at the UN General Assembly, Donald Trump railed against Iran, "globalists," climate change, and transgender people while also claiming that the US is now "officially" renaming artificial intelligence to "super intelligence." Oddly, this wasn't one of the entries in the poll Trump posted a few days ago when he started on this tangent. Why is he saying this at all? Because, according to Trump, the word artificial makes intelligence fake. Is that what makes it sound fake to you? I can think of a few other reasons. Trump has previously decreed renaming the Gulf of Mexi...
Information-theoretic criteria for selecting basis functions in sparse Gaussian process regression to optimize M-budget allocation across candidate bases.
llm-typesafe 0.1a0 plugin adds support for TypeSafe AI's Jev model to the LLM CLI for structured classification tasks.
Greedy LLM decoding produces different outputs across BF16/FP16 precision with 49-100% prompt divergence, challenging determinism assumptions in inference.
MMAP pretraining framework handles missing multimodal data and incomplete records for longitudinal Alzheimer's disease progression prediction.
Framework identifies semantic abstraction gaps in LLM natural language inference via constructed higher-order semantic knowledge and reasoning diagnostics.
Foundation model embeddings from screening mammograms encode pre-diagnostic tissue changes detectable before cancer diagnosis, varying by pretraining domain.
Hierarchical GNNs with latent communication improve power-flow model generalization across grid topologies using Kron-derived graph reductions.
Mixture-of-experts with diffusion models for cross-scenario physical layer security in 6G wireless networks.
GTR: softmax-free recurrent vision backbone using gated linear attention and spatial scans for efficient dense prediction, distilled from DINOv3.
Polyak-type step-size selection for extragradient methods solving monotone root-finding problems with unified deterministic analysis.
Language models conflate sycophancy with receptiveness; social psychology framework shows behavioral overlap creates construct-validity problems in current evals.
Quantum-aided active device detection for energy-harvesting symbiotic radio networks using NOMA in IoT deployments.
Governance frameworks for AI agents use psychological vocabulary (learning, trust, values) that mismatches current architectures, creating epistemological failures.
Neutral-atom quantum computing applied to NP-hard resource allocation problems (MAP) in NOMA wireless networks.
Decision-only LLM judge scales evaluation cost-effectively to 0.36% of full-judge fees, matches state-of-the-art on preference tasks, flags uncertain escalations.
UFO-MGen: flow-based generative model for crystal structure design learning Wyckoff topological representations for materials discovery.
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Autonomy-1 will have a small, transformer-based AI model taking charge of a space probe.
Epistemological assessment of LLMs used in infant syntax acquisition research, examining dataset construction and model implementation in the BabyLM challenge.
Mathematical foundations of Fourier-Bessel wavelets derived from disk harmonics and Helmholtz equation solutions.
Joint recognition and translation fine-tuning via group relative policy optimization (GRPO) for LLM-based speech translation with Qwen2.5-Omni-3B.
REFLEX agent architecture combines fast typed decision layer (Jev) with LLM fallback, achieving 95% task success with 72.7% fewer strong-model calls.
Semiotic framework evaluates NLG fidelity and coverage by measuring contextual meaning and discourse references between texts.
Comparison of CNNs and vision transformers via EEG encoding models across network depth, testing token representations.
Analysis of Oja's algorithm for gap-free streaming PCA with near-optimal convergence rates and differential privacy applications.
Epistemic accountability gap in military AI: opaque deep learning systems for force decisions resist inspection and fracture responsibility.
Benchmark evaluation of 12 generative crystal structure prediction models; template retrieval outperforms diffusion and latent-variable approaches.