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Noticias

Grounded Concreteness: Human-Like Concreteness Sensitivity in Vision-Language Models

arXiv:2601.18065v1 Announce Type: new Abstract: Do vision–language models (VLMs) develop more human-like sensitivity to linguistic...

Green steel startup Boston Metal is doubling down on critical metals

The startup Boston Metal has raised a $75 million funding round to produce critical metals...

Graph-R1: An Agentic GraphRAG Framework for Structured, Multi-Turn Reasoning with Reinforcement Learning

Introduction Large Language Models (LLMs) have set new benchmarks in natural language processing, but their...

Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning

arXiv:2504.19583v2 Announce Type: replace-cross Abstract: This paper proposes a parameter collaborative optimization algorithm for large...

GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs

arXiv:2507.18043v1 Announce Type: new Abstract: Inference-time steering methods offer a lightweight alternative to fine-tuning large...

Gradients Must Earn Their Influence: Unifying SFT with Generalized Entropic Objectives

arXiv:2602.11424v1 Announce Type: new Abstract: Standard negative log-likelihood (NLL) for Supervised Fine-Tuning (SFT) applies uniform...

Gradient Descent:The Engine of Machine Learning Optimization

Editor’s note: This article is a part of our series on visualizing the foundations of...

GPZ: A Next-Generation GPU-Accelerated Lossy Compressor for Large-Scale Particle Data

Particle-based simulations and point-cloud applications are driving a massive expansion in the size and complexity...

GPTopic: Dynamic and Interactive Topic Representations

arXiv:2403.03628v3 Announce Type: replace Abstract: Topic modeling seems to be almost synonymous with generating lists...

GPT-4o Understands Text, But Does It See Clearly? A Benchmarking Study of MFMs on Vision Tasks

Multimodal foundation models (MFMs) like GPT-4o, Gemini, and Claude have shown rapid progress recently, especially...

GPT and Prejudice: A Sparse Approach to Understanding Learned Representations in Large Language Models

arXiv:2510.01252v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly trained on massive...

Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models

arXiv:2512.17344v1 Announce Type: new Abstract: We present a governance-aware hybrid fine-tuning framework for multilingual, low-resource...

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