News
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models
arXiv:2509.07925v1 Announce Type: new Abstract: Uncertainty estimation is essential for enhancing the reliability of Large...
GenSeg: Generative AI Transforms Medical Image Segmentation in Ultra Low-Data Regimes
Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such...
Generative Medical Event Models Improve with Scale
arXiv:2508.12104v1 Announce Type: cross Abstract: Realizing personalized medicine at scale calls for methods that distill...
Generative AI for FFRDCs
arXiv:2509.21040v1 Announce Type: new Abstract: Federally funded research and development centers (FFRDCs) face text-heavy workloads...
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
arXiv:2507.06261v3 Announce Type: replace Abstract: In this report, we introduce the Gemini 2.X model family:...
GCC-Spam: Spam Detection via GAN, Contrastive Learning, and Character Similarity Networks
arXiv:2507.14679v1 Announce Type: cross Abstract: The exponential growth of spam text on the Internet necessitates...
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
arXiv:2411.16525v2 Announce Type: replace-cross Abstract: We investigate the statistical and computational limits of prompt tuning...
Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-based Prompt Injection Attacks via the Fine-Tuning Interface
arXiv:2501.09798v2 Announce Type: replace-cross Abstract: We surface a new threat to closed-weight Large Language Models...
Fun-ASR Technical Report
arXiv:2509.12508v3 Announce Type: replace Abstract: In recent years, automatic speech recognition (ASR) has witnessed transformative...
Frustratingly Easy Data Augmentation for Low-Resource ASR
arXiv:2509.15373v2 Announce Type: replace Abstract: This paper introduces three self-contained data augmentation methods for low-resource...
FrugalRAG: Learning to retrieve and reason for multi-hop QA
arXiv:2507.07634v2 Announce Type: replace Abstract: We consider the problem of answering complex questions, given access...
From terabytes to insights: Real-world AI obervability architecture
GUEST: Consider maintaining and developing an e-commerce platform that processes millions of transactions every minute...
