SuperGPQA: Bytedance open source benchmark for LLM | Hacker news chatgpt voice app | Best llm training dataset pdf | Chatgpt and large language models in academia opportunities and challenges | Turtles AI

The new SuperGPQA benchmark, developed by experts and the open-source community, offers an assessment of the capabilities of LLMs in 285 disciplines through multiple-choice questions, collaborative filtering and specialized annotations.

Key points:

• Multidisciplinary benchmark with 26,529 multiple-choice questions
• In-depth assessment in 285 graduate-level disciplines
• Human-LLM collaborative filtering mechanism supported by expert feedback
• Methodological directions for future improvement of LLMs

ByteDance’s Doubao Large Model Team, in synergy with the open-source M-A-P community, has launched a new SuperGPQA analysis tool that, through 26. 529 multiple-choice questions divided into 285 subject areas, aims to accurately measure reasoning skills and knowledge of the latest language models; the system, featuring an innovative Human-LLM collaborative filtering procedure, allows trivial or ambiguous questions to be excluded by integrating answers provided by the models with the valuable input of more than 80 expert annotators, and thus offers technical and methodological insights useful for the design of future comparable benchmarks, a context that fits into a global landscape in which similar tools, such as MMLU, highlight the need to further refine the performance of AI systems; the experimental result, with the DeepSeek-R1 model achieving a maximum accuracy of 61.82 percent, highlights the current gap between the operational capabilities of LLMs and the ultimate goals of general AI, providing a platform for comparison and stimulus for incremental progress in the field.

The benchmark stands as a valuable reference point for future development and evaluation strategies in the field of AI.