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PAT: Accelerating LLM Decoding via Prefix-Aware Attention with Resource Efficient Multi-Tile Kernel
arXiv:2511.22333v2 Announce Type: replace-cross Abstract: LLM serving is increasingly dominated by decode attention, which is...
Partitioner Guided Modal Learning Framework
arXiv:2507.11661v1 Announce Type: new Abstract: Multimodal learning benefits from multiple modal information, and each learned...
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
arXiv:2510.04417v1 Announce Type: cross Abstract: The study of multimodality has garnered significant interest in fields...
Pardon? Evaluating Conversational Repair in Large Audio-Language Models
arXiv:2601.12973v1 Announce Type: new Abstract: Large Audio-Language Models (LALMs) have demonstrated strong performance in spoken...
Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance Correction Branch
The Transformer’s attention mechanism has barely changed since 2017. Most efficiency work has tried to...
Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents
arXiv:2509.06917v2 Announce Type: replace-cross Abstract: We introduce Paper2Agent, an automated framework that converts research papers...
Pairing industrial AI autonomy and human control
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PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier
arXiv:2506.10406v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated impressive capabilities in complex...
PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation
arXiv:2411.05085v2 Announce Type: replace-cross Abstract: Radiology report generation (RRG) aims to create free-text radiology reports...
P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts
arXiv:2406.12548v3 Announce Type: replace Abstract: Personalized large language models (LLMs) have attracted great attention in...
OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models
arXiv:2511.10287v1 Announce Type: cross Abstract: Since Multimodal Large Language Models (MLLMs) are increasingly being integrated...
Our climate models have a big, dangerous blind spot
Climate change itself is increasingly fueling climate change. Rising concentrations of greenhouse gases are driving...
