Planning in entropy-regularized Markov decision processes and games
SmoothCruiser algorithm for entropy-regularized MDPs and games achieves O(1/ε⁴) sample complexity via Bellman operator smoothness.
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SmoothCruiser algorithm for entropy-regularized MDPs and games achieves O(1/ε⁴) sample complexity via Bellman operator smoothness.
User reports Gemma 4 e4b extracted from Android app outperforms published versions; unclear if genuine discovery or misconfiguration.
A-MAR framework uses agent-based reasoning plans and retrieval to ground artwork interpretation in structured evidence and cultural context.
The photo deletion comes after an FTC settlement with Clarifai. The company had asked OkCupid — whose executives had invested in Clarifai — to share data in 2014, according to court documents.
New task for document-grounded QA: generating related insights from document collections to iteratively refine open-ended answers.
PREF-XAI framework learns user-preference-based personalized rule explanations for black-box ML models with principled preference modeling.
Anthropic secures 5 gigawatts of Amazon’s custom silicon as Claude demand soars.
Function vectors extracted from multilingual LLMs show language-agnostic properties; translation vectors transfer across target languages.
Hybrid position-force control policies using reinforcement learning improve robotic manipulation accuracy under force constraints.
Budgeted online influence maximization algorithm using independent cascade model and semi-bandit feedback with cost-based optimization.
Multi-cycle spatio-temporal adaptation framework for joint human-robot planning that learns individual preferences across task, motion, and spatial dimensions.
HardNet++ enforces nonlinear constraint satisfaction in neural network outputs for safety-critical control and decision-making applications.
Chat2Workflow benchmark evaluates LLM capability to generate executable visual workflows from natural language multi-turn interactions.
Reproducibility study standardizing evaluation of 11 counterfactual explanation methods for recommender systems across metrics and datasets.
Self-supervised disentangled representation learning framework for structural damage identification robust to environmental and operational variability.
GAAP execution environment guarantees privacy for AI agents by enforcing data access controls against prompt injection and untrusted providers.
GRIL trains LLMs via reinforcement learning to recognize missing premises and pause rather than fabricate information in incomplete reasoning contexts.
Dual analysis of synthetic human mobility trajectory generators examining privacy vulnerabilities alongside utility gains from generative models.
Deep learning framework for environmental sound deepfake detection evaluating spectrograms, architectures, and pre-trained models on benchmark datasets.
Andreas Påhlsson-Notini argues current AI agents inherit human flaws—lack of rigor, patience, focus—rather than transcending them.
CoCo-SAM3 resolves mask overlap and semantic drift in open-vocabulary semantic segmentation by modeling concept conflicts across prompts.
Empirical study on prompt design vs. model selection for predicting fan experience ratings from survey text using GPT variants.
Google announces Deep Research and Deep Research Max features for enhanced information synthesis.
Plasma 1.0: 235M-param LLaMA-style model trained from scratch on single RTX 5080 GPU.
Introduces micro language models (8M-30M params) that generate first tokens on-device while cloud model completes response, masking latency.
Proposes Penalized Predictive Control framework using online Riemannian optimization for safety-critical control with black-box world models.
SafetyALFRED benchmark evaluates multimodal LLMs (Qwen, Gemma, Gemini) on hazard recognition and mitigation in embodied kitchen environments.
Introduces Chunk-wise Interleaved Splicing paradigm enabling autoregressive models for real-time streaming target speaker extraction.
Proposes TSAG framework and benchmark for evaluating LLM reasoning on financial time-series analysis with task delegation to computation modules.
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