representational-collapse-llm-benchmark

简介

Token Repetition Attack Benchmark Dataset Description This dataset contains experimental results from token repetition attacks on Large Language Models (LLMs), demonstrating multiple failure modes including prompt extraction, hallucination attacks, and instruction-following degradation. Paper: Representational Collapse in Large Language Models: Token Repetition Attacks Reveal Multiple Failure Modes (ACL 2025 Submission) Dataset Summary Total Records: 35 Models… See the full description on the dataset page: https://huggingface.co/datasets/wu981526092/representational-collapse-llm-benchmark.