2 papers
cs.CL2026
Benchmarking Large Language Models for Cryptanalysis and Side-Channel Vulnerabilities
Utsav Maskey, Chencheng Zhu, Usman Naseem
Recent advancements in large language models (LLMs) have transformed natural language understanding and generation, leading to extensive benchmarking across diverse tasks. However,…
cs.CL2025
TurnBench-MS: A Benchmark for Evaluating Multi-Turn, Multi-Step Reasoning in Large Language Models
Yiran Zhang, Mo Wang, Xiaoyang Li +3
Despite impressive advances in large language models (LLMs), existing benchmarks often focus on single-turn or single-step tasks, failing to capture the kind of iterative reasoning…