TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkit
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Noticias de IA
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Architect-Ant: Editable Automatic Furnishing of Architectural Floor Plans
LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks
Designed by Journalists, but Is It for Readers? Rethinking AI Disclosures and Transparenc…
Assessment of Personality Dimensions Across Situations in Dyadic Role-Play Scenarios
Whisfusion: Parallel ASR Decoding with Masked Diffusion
Mitigating Bias in Low-SNR Financial Reinforcement Learning via Quantum Representations
Provenance-Grounded Gating and Adaptive Recovery in Synthetic Post-Training Data Curation
Boosting ECG Classification Performance by Pre-training with Synthesized Data
On the Condition Number Dependency in Bilevel Optimization
Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making
ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs
Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Proce…
SCOPE: Sequential Causal Optimization of Process Interventions
HiGR: Industrial-Scale Hierarchical Generative Slate Recommendation Framework in Tencent
Causal Ensemble Agent: Hierarchical Causal Discovery with LLM-guided Expert Reweighting
MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean…
torch-sla: Differentiable Sparse Linear Algebra with Adjoint Solvers and Sparse Tensor Pa…
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs
Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy M…
A Unifying Lens on Supervised Fine-Tuning Through Target Distribution Design
Adoption of Generative Artificial Intelligence in the German Software Engineering Industr…
Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept…
TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving
Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search M…
Using Probabilistic Programs to Train Inductive Reasoning in Large Language Models
The Role of Feedback Alignment in Self-Distillation
Reasoning over Semantic IDs Enhances Generative Recommendation
Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation
More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic New…