The Journal of Prompt-Engineered (Moral) Philosophy Or: Why AI-Assisted Ethics Research R…
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Noticias de IA
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An interpretable unsupervised representation learning for high precision measurement in p…
COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA Solvers
Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2
Succeeding at Scale: Enterprise Retrieval Benchmark Construction and Index-Preserving Que…
SMART: Scalable Mesh-free Aerodynamic Simulations from Raw Geometries using a Transformer…
Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-I…
Residual Context Diffusion Language Models
Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and …
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-preci…
Deep Dense Exploration for LLM Reinforcement Learning via Pivot-Driven Resampling
FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA
C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Though…
The Curse and Blessing of Mean Bias in FP4-Quantized LLM Training
Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
X-OPD: Cross-Modal On-Policy Distillation for Capability Alignment in Speech LLMs
The Shrinking Lifespan of LLMs in Science
STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction
LEPO: Latent Reasoning Policy Optimization for Large Language Models
Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs
EmoMind: Decoding Affective Captions from Human Brain fMRI
The Insurability Frontier of AI Risk: Mapping Threats to Affirmative Coverage, Silent Exp…
PRISM: Perception Reasoning Interleaved for Sequential Decision Making
AdaTKG: Adaptive Memory for Temporal Knowledge Graph Reasoning
Vanishing Depth: Training Generalized Depth Adapters with Sinusoidal Depth Preprocessing …
Revisiting Outage for Edge Inference Systems
Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Value
Interpretable Alzheimer's Diagnosis via Multimodal Fusion of Regional Brain Experts
Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining
A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Sc…