ReasoningWeekly: A General Knowledge and Verbal Reasoning Challenge for Large Language Models
2025/02/03 by Zixuan Wu, Wu, Zixuan, Francesca Lucchetti +13 · 12 voices · 2 citations
#cs.AI #cs.LG
paper · pdf · doi:10.48550/arxiv.2502.01584
Abstract
Existing benchmarks for frontier models often test specialized, "PhD-level" knowledge that is difficult for non-experts to grasp. In contrast, we present a benchmark with 613 problems based on the NPR Sunday Puzzle Challenge that requires only general knowledge. Our benchmark is challenging for both humans and models; however correct solutions are easy to verify, and models' mistakes are easy to spot. As LLMs are more widely deployed in society, we believe it is useful to develop benchmarks for frontier models that humans can understand without the need for deep domain expertise. Our work reveals capability gaps that are not evident in existing benchmarks: OpenAI o1 significantly outperforms other reasoning models on our benchmark, despite being on par with other models when tested on benchmarks that test specialized knowledge. Furthermore, our analysis of reasoning outputs uncovers new kinds of failures. DeepSeek R1, for instance, often concedes with "I give up" before providing an answer that it knows is wrong. R1 can also be remarkably "uncertain" in its output and in rare cases, it does not "finish thinking," which suggests the need for techniques to ``wrap up'' before the context window limit is reached. We also quantify the effectiveness of reasoning longer to identify the point beyond which more reasoning is unlikely to improve accuracy on our benchmark.
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- PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models [hn, 174 points, 80 comments]
- 🧠 𝗣𝗵𝗗 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗡𝗼𝘁 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱: 𝗔 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗳𝗼𝗿 𝗟𝗟𝗠𝘀 🤖 A new benchmark reveals gaps in reasoning skills of LLMs, with OpenAI leading at 59% a [bsky, 2 points, 0 comments]
- "PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models" Many people feel calling this a reasoning test is wrong. It's more about memory than smart thinking. AI is failing to see [bsky, 0 points, 0 comments]
- https://bsky.app/profile/hackernews.com.web.brid.gy/post/3lhrsegppbsm2 [bsky, 0 points, 0 comments]
- PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models [bsky, 0 points, 0 comments]
- PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models #HackerNews arxiv.org/abs/... [bsky, 0 points, 0 comments]
- PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models https://arxiv.org/abs/2502.01584 (https://news.ycombinator.com/item?id=42992336) [bsky, 0 points, 0 comments]
- PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models https://arxiv.org/abs/2502.01584 [bsky, 0 points, 0 comments]
- PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models https://arxiv.org/abs/2502.01584 [comments] [16 points] [bsky, 0 points, 0 comments]
- PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models (arxiv.org) Main Link | Discussion [bsky, 0 points, 0 comments]
- PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models https://arxiv.org/abs/2502.01584 https://news.ycombinator.com/item?id=42992336 [bsky, 0 points, 0 comments]
- PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models https://arxiv.org/abs/2502.01584 (https://news.ycombinator.com/item?id=42992336) [bsky, 0 points, 0 comments]
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