From Self-Supervised Speech Models to Mixture-of-Experts for Robust Anti-Spoofing
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Noticias de IA
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ClinHallu: A Benchmark for Diagnosing Stage-Wise Hallucinations in Medical MLLM Reasoning
Learning optimal policies from event logs through reinforcement learning: a comparison of…
Generative AI for Managerial Decision-Making under Ambiguity and Sycophancy
Learning Developmental Scaffoldings to Guide Self-Organisation
Quantile-Free Uncertainty Quantification in Graph Neural Networks
Application of Artificial Intelligence and Machine Learning in Libraries: A Systematic Re…
Fractured Chain-of-Thought Reasoning
Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context Co…
TabKD: Tabular Knowledge Distillation through Interaction Diversity of Learned Feature Bi…
From Sorting Algorithms to Scalable Kernels: Bayesian Optimization in High-Dimensional Pe…
HyperPotter: Spell the Charm of High-Order Interactions in Audio Deepfake Detection
Metabolic cost of information processing in Poisson variational autoencoders
EmoMind: Decoding Affective Captions from Human Brain fMRI
Generalized Discrete Diffusion with Self-Correction
Expert-Driven Survival Machines: Improving Stratification and Interpretability in Multipl…
Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs
LEPO: Latent Reasoning Policy Optimization for Large Language Models
STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction
The Shrinking Lifespan of LLMs in Science
X-OPD: Cross-Modal On-Policy Distillation for Capability Alignment in Speech LLMs
Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
The Curse and Blessing of Mean Bias in FP4-Quantized LLM Training
C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Though…
FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA
Deep Dense Exploration for LLM Reinforcement Learning via Pivot-Driven Resampling
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-preci…
Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and …
Residual Context Diffusion Language Models
Low-Burden LLM-Based Preference Learning: Personalizing Assistive Robots from Natural Lan…