Notizie
Databricks open-sources declarative ETL framework powering 90% faster pipeline builds
With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or...
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
arXiv:2504.17671v3 Announce Type: replace Abstract: This study addresses the critical challenge of hallucination mitigation in...
Data Processing for the OpenGPT-X Model Family
arXiv:2410.08800v4 Announce Type: replace Abstract: This paper presents a comprehensive overview of the data preparation...
Data centers love solar: Here’s a comprehensive guide to deals over 100 megawatts
New and expanded data centers are expected to double the sector’s power demand by 2029...
Data Augmentation for Spoken Grammatical Error Correction
arXiv:2507.19374v1 Announce Type: new Abstract: While there exist strong benchmark datasets for grammatical error correction...
Data Augmentation for Maltese NLP using Transliterated and Machine Translated Arabic Data
arXiv:2509.12853v1 Announce Type: new Abstract: Maltese is a unique Semitic language that has evolved under...
DanaBot takedown shows how agentic AI cut months of SOC analysis to weeks
Agentic AI played a decisive role in dismantling DanaBot, a Russian malware platform responsible for...
D’ej`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation
arXiv:2504.11829v3 Announce Type: replace Abstract: Generation capabilities and language coverage of multilingual large language models...
Customizing Speech Recognition Model with Large Language Model Feedback
arXiv:2506.11091v2 Announce Type: replace Abstract: Automatic speech recognition (ASR) systems have achieved strong performance on...
Curved Inference: Concern-Sensitive Geometry in Large Language Model Residual Streams
arXiv:2507.21107v1 Announce Type: new Abstract: We propose Curved Inference – a geometric Interpretability framework that...
CURE: A Reinforcement Learning Framework for Co-Evolving Code and Unit Test Generation in LLMs
Introduction Large Language Models (LLMs) have shown substantial improvements in reasoning and precision through reinforcement...
CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions
arXiv:2508.01674v1 Announce Type: new Abstract: Personalization of Large Language Models (LLMs) often assumes users hold...
