AI Papers This Week: Red‑Team LMs, Multi‑View 3D Tracking, Protein Rep., Crypto Vulnerability Detection
This weekly roundup highlights five recent AI papers: a red‑team study of language models that reveals scaling challenges and releases a large attack dataset, a data‑driven multi‑view 3D point‑tracking method, the FusionProt framework for unified protein representation, an analysis of why language models hallucinate, and CryptoScope, an LLM‑based system for automated cryptographic vulnerability detection.
