arXiv:2604.16780v2 Announce Type: replace-cross Abstract: This paper presents FairNVT, a lightweight debiasing framework for pretrained transformer-based…
Tag: AI
Asana cleared 5 years of engineering work in 2 weeks with Codex
Asana used OpenAI Codex to replace an outdated testing system in two weeks, completing work expected to take five years for about $12K.
Attention Flows: Tracing LLM Conceptual Engagement via Story Summaries
arXiv:2604.06416v2 Announce Type: replace-cross Abstract: Although LLM context lengths have grown, there is evidence that their ability to integrate…
Language Family Matters: Evaluating LLM-Based ASR Across Linguistic Boundaries
arXiv:2601.18899v3 Announce Type: replace-cross Abstract: Large Language Model (LLM)-powered Automatic Speech Recognition (ASR) systems achieve strong…
Adversarial Data Modeling in Epidemiology
arXiv:2602.20134v2 Announce Type: replace-cross Abstract: Epidemiological models increasingly rely on crowdsourced, self-reported behavioral data such as…
Supporting Calibrated Reliance in Human-AI Collaboration: Different Strategies for Different Tasks
arXiv:2604.03237v2 Announce Type: replace-cross Abstract: As AI systems increasingly support human decision making, a central challenge is determining…
How Axonius built secure multi-tenant AI agents on Bedrock AgentCore
Learn how Axonius, a cybersecurity SaaS provider, used Amazon Bedrock AgentCore to deploy fully isolated, multi-tenant AI agents across hundreds of…
SCOPE: Selective Conformal Optimized Pairwise LLM Judging
arXiv:2602.13110v4 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used as scalable judges in pairwise evaluation,…
Why Apple’s camera-equipped AirPods may not be the ‘pervert pods’ consumers fear
Apple’s leaked camera-equipped AirPods might avoid the privacy pitfalls of other AI wearables by preventing users from recording photos and videos.
Parametric Knowledge in RAG-SFT for Domain-Specific Document Generation
arXiv:2603.23047v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) fine-tuning has shown substantial improvements over vanilla…