Actualités
Actualités
Hackers made death threats against this security researcher. Big mistake.
The threats started in spring. In April 2024, a mysterious someone using the online handles...
GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods
arXiv:2502.16903v2 Announce Type: replace Abstract: Despite the growing interest in jailbreak methods as an effective...
Guided Self-Evolving LLMs with Minimal Human Supervision
arXiv:2512.02472v1 Announce Type: cross Abstract: AI self-evolution has long been envisioned as a path toward...
GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding
arXiv:2511.00810v3 Announce Type: replace-cross Abstract: Graphical user interface (GUI) grounding is a key capability for...
Grounding AI-in-Education Development in Teachers’ Voices: Findings from a National Survey in Indonesia
arXiv:2604.01630v1 Announce Type: new Abstract: Despite emerging use in Indonesian classrooms, there is limited large-scale...
Grounded Event Extraction from SEC 8-K Filings with a Fine-Grained Taxonomy
arXiv:2607.08346v1 Announce Type: new Abstract: Form 8-K filings are the primary channel through which U.S...
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...

