Pat
PulseAugur coverage of Pat — every cluster mentioning Pat across labs, papers, and developer communities, ranked by signal.
- 2026-05-26 research_milestone A new method called PAT was proposed to accelerate RLHF training. source
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RAG system PAT aims to improve LLM translation with whole-document context
A new Retrieval-Augmented Generation (RAG) system called PAT has been developed to improve LLM translation by providing entire document context, rather than processing text sentence by sentence. A preprint released in J…
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LLMs move beyond sentence-level translation with new RAG system
Researchers have developed a new system called PAT (Pragmatic Auto-Translator) that aims to move Large Language Models (LLMs) beyond sentence-by-sentence translation. PAT utilizes retrieval-augmented generation (RAG) to…
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Google's Paper Assistant Tool Automates Scientific Review
Google has developed the Paper Assistant Tool (PAT), an AI framework designed to aid in the scientific review process. PAT analyzes full manuscripts to check theoretical results, validate experiments, and identify poten…
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New foundation model analyzes wearable data for mental health insights
Researchers have developed a new foundation model called PAT (Pretrained Actigraphy Transformer) specifically for analyzing wearable movement data in mental health research. This open-source model uses self-supervised l…
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New method speeds up RLHF training with adaptive parallelism
Researchers have developed a new method called PAT to accelerate the training of Reinforcement Learning from Human Feedback (RLHF) models. This technique dynamically adjusts tensor parallelism during the generation stag…
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New methods boost LLM code generation efficiency and theory
Researchers have developed new methods for improving Large Language Model (LLM) code generation efficiency. One approach, Planning-after-Trial (PaT), adaptively invokes a planner only when an initial generation attempt …