Guinea
PulseAugur coverage of Guinea — every cluster mentioning Guinea across labs, papers, and developer communities, ranked by signal.
-
New research advances graph representation learning with diversity curves, safety benchmarks, and disentangled models
Researchers have introduced several new methods for graph representation learning (GRL). One approach, "Diversity Curves," tracks structural diversity across graph coarsening levels to create comparable embeddings. Anot…
-
LLM agents explored for visualization, supply chain governance, and entity search
Three new research papers explore different facets of Large Language Model (LLM) applications. One paper investigates interaction paradigms for LLM agents in scientific visualization, comparing domain-specific, computer…
-
Study finds smaller AI models outperform large ones in drug discovery predictions
A new paper challenges the assumption that larger AI models are always superior in drug discovery. Researchers found that classical machine learning models and graph neural networks often outperform larger, general-purp…
-
Qvine quantum circuits offer scalable loading of high-dimensional distributions
Researchers have introduced Qvine, a novel quantum circuit ansatz designed to efficiently load high-dimensional distributions. This approach mirrors classical vine copula decompositions to construct scalable quantum cir…
-
EVE framework launches open-source LLMs for Earth Intelligence
Researchers have developed EVE, an open-source framework for creating specialized Large Language Models (LLMs) focused on Earth Intelligence. The core of EVE is EVE-Instruct, a 24 billion parameter model derived from Mi…
-
GoClick model offers lightweight GUI element grounding for on-device AI agents
Researchers have developed GoClick, a novel lightweight vision-language model designed for precise GUI element grounding on resource-constrained devices. Unlike existing large models, GoClick utilizes an encoder-decoder…
-
Rethinking Token Pruning for Historical Screenshots in GUI Visual Agents: Semantic, Spatial, and Temporal Perspectives
Researchers have explored token pruning strategies for GUI visual agents that utilize Multimodal Large Language Models (MLLMs). Their study revealed that background regions in screenshots, often overlooked, can provide …
-
Show HN: Tilth – I spent tokens so my agents would stop wasting them (~4k Rust)
A new tool called Tilth has been released, designed to optimize AI agent interactions with code by reducing token usage and improving navigation. It claims significant cost reductions and accuracy improvements across va…
-
Holo1: New family of GUI automation VLMs powering GUI agent Surfer-H
Researchers have introduced A11y-Compressor, a framework designed to make GUI agent observations more efficient by transforming linearized accessibility trees into structured representations. This method reduces input t…