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ニュース

Phonely’s new AI agents hit 99% accuracy—and customers can’t tell they’re not human

Phonely, Maitai and Groq achieve breakthrough in AI phone support with sub-second response times and...

Phantom: General Backdoor Attacks on Retrieval Augmented Language Generation

arXiv:2405.20485v3 Announce Type: replace-cross Abstract: Retrieval Augmented Generation (RAG) expands the capabilities of modern large...

Perplexity Open-Sources Bumblebee: A Read-Only Supply-Chain Scanner for Developer Endpoints

Attackers increasingly target the packages, editor extensions, and AI tool configs on developer machines and...

Perplexity AI Releases TransferEngine and pplx garden to Run Trillion Parameter LLMs on Existing GPU Clusters

How can teams run trillion parameter language models on existing mixed GPU clusters without costly...

Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate

Perplexity AI’s research team reimplemented their Unigram tokenizer from scratch in Rust and open-sourced the...

PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models

arXiv:2601.10532v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly deployed in human-centric applications...

PerCoR: Evaluating Commonsense Reasoning in Persian via Multiple-Choice Sentence Completion

arXiv:2510.22616v1 Announce Type: new Abstract: We introduced PerCoR (Persian Commonsense Reasoning), the first large-scale Persian...

Pensieve Grader: An AI-Powered, Ready-to-Use Platform for Effortless Handwritten STEM Grading

arXiv:2507.01431v1 Announce Type: cross Abstract: Grading handwritten, open-ended responses remains a major bottleneck in large...

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...

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