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Proposes native meta-architecture embedding application-layer cognitive protocols via structural tension loss function for stateful LLM behavior.
Graph-based model of early language acquisition in children using spreading activation on semantic networks across four languages.
VendorBench-100 unified benchmark comparing 36 deepfake detectors across commercial APIs, vision-language models, and open-source methods.
Neural likelihood approximation framework for high-dimensional Bayesian inverse problems in scientific computing.
TOFFEE system generates synthetic data agent trajectories for LLM adaptation to enterprise SQL and analytics workflows.
The AirGo A6 are available in multiple designs including several transparent color options. | Image: Solos Solos announced a new version of its AirGo smart glasses, one that forgoes cameras for a sleeker design and an AI assistant that relies on voice interactions. Last year's…
PAC-Bayesian analysis of quantum circuit generalization showing entanglement inflates effective complexity in quantum RL.
Spider 2.0-AIFunc benchmark of 465 text-to-SQL instances covering AI-native SQL functions on Snowflake platform.
Canopy heterogeneous graph foundation model integrating 6.9M biotech nodes for metabolic engineering strain design.
Information Gain-based Rollout Policy Optimization allocates LLM agent search budget adaptively across tree branches.
Toy framework modeling curiosity as weighted ecosystem of uncertainty reduction, cost, and delayed return tradeoffs.
UBEP communication library optimizes sparse MoE routing on production GPU superpods via asynchronous BSP scheduling.
Pluralis v0.1: multimodal benchmark spanning 6 Asia-Pacific countries, 8 languages, 6,448 prompts to evaluate VLM safety beyond Western-centric defaults.
The company just raised $7 million in seed funding, and is launching its app for iPhone and Android on Tuesday.
TriA Pipeline: automatic audio annotation tool generating 2,130 hours of labeled audio across 431 classes for domestic and domain-specific scenarios.
Systematic study of reward function design for RL-based BPMN process model generation using Llama 3.1 and Qwen 2.5 across 48 configurations.
Theoretical analysis establishing formal equivalence between predictive accuracy and profitability in order-book prediction markets vs. AMM designs.
X-FEMR: token-level explainability framework for Electronic Health Records foundation models using Transformer surrogates to address bias and clinical interpretability.
LongCrafter: structured synthesis framework with hierarchical taxonomy generating 32 long-context task types for diverse, difficulty-calibrated LLM instruction tuning.
Benchmark study of deliberative LLM agents under partial observability, formalizing cooperative decision-making with asymmetric information and multi-domain evaluation.
Formal analysis of tool-use expressivity in finite-precision RNNs and SSMs: establishes sharp dichotomy on when external tools increase computational power.
EISAM: optimizer combining extragradient method with Sharpness-Aware Minimization to improve generalization by seeking flat minima.
Transfer learning framework for welding seam segmentation in construction robots using BiSeNetV2 with hybrid loss, achieving 81.76% Jaccard Index.
Paper defines prompting complexity as shortest deterministic prompt for target text, adapting Kolmogorov complexity to LLM-relative setting.
With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six…
CurateEvo framework evolves data-curation strategy as executable code for agentic LLM post-training using failure-driven feedback.
Top robotics researchers and founders explain how robot autonomy is evolving.
Case study on property-driven synthetic data engineering for intraoperative radiotherapy in breast cancer, focusing on domain-specific data challenges.
Physics-informed neural network for CEST MRI reconstruction using Lorentz encoding to preserve spectral constraints.
LLM4SDM evaluates open-source smaller models on clinical decision-making assessment, comparing privacy-preserving local deployment vs. commercial models.