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Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts

arXiv:2510.07239v1 Announce Type: new Abstract: Automated red-teaming has emerged as a scalable approach for auditing...

Recognizing Limits: Investigating Infeasibility in Large Language Models

arXiv:2408.05873v3 Announce Type: replace Abstract: Large language models (LLMs) have shown remarkable performance in various...

Rebuilding the data stack for AI

Artificial intelligence may be dominating boardroom agendas, but many enterprises are discovering that the biggest...

Reasoning Promotes Robustness in Theory of Mind Tasks

arXiv:2601.16853v1 Announce Type: cross Abstract: Large language models (LLMs) have recently shown strong performance on...

Real Time Detection and Quantitative Analysis of Spurious Forgetting in Continual Learning

arXiv:2512.20634v1 Announce Type: cross Abstract: Catastrophic forgetting remains a fundamental challenge in continual learning for...

READoc: A Unified Benchmark for Realistic Document Structured Extraction

arXiv:2409.05137v3 Announce Type: replace Abstract: Document Structured Extraction (DSE) aims to extract structured content from...

Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation

arXiv:2510.06605v2 Announce Type: replace-cross Abstract: The substantial investment required to develop Large Language Models (LLMs)...

Readers Prefer Outputs of AI Trained on Copyrighted Books over Expert Human Writers

arXiv:2510.13939v1 Announce Type: new Abstract: The use of copyrighted books for training AI models has...

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