Viewing enriched Twitter post
Recently, I saw the papers "rl on one sample" and "spurious reward". The findings are interesting, but they are indeed expected. In fact, the math solving ability of the Qwen models is really easy to activateโ๐๐ฏ๐๐ง ๐ฐ๐ข๐ญ๐ก๐จ๐ฎ๐ญ ๐๐ง๐ฒ ๐ญ๐ซ๐๐ข๐ง๐ข๐ง๐ !๐คฃ I'd like to shareโฆ https://t.co/7wEmmZgnzA
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"text": "Recently, I saw the papers \"rl on one sample\" and \"spurious reward\". The findings are interesting, but they are indeed expected. In fact, the math solving ability of the Qwen models is really easy to activateโ๐๐ฏ๐๐ง ๐ฐ๐ข๐ญ๐ก๐จ๐ฎ๐ญ ๐๐ง๐ฒ ๐ญ๐ซ๐๐ข๐ง๐ข๐ง๐ !๐คฃ\n\nI'd like to share some interesting observations we made in March: ๐๐ฒ ๐ฎ๐ฌ๐ข๐ง๐ ๐ ๐ฌ๐ข๐ฆ๐ฉ๐ฅ๐ ๐ฉ๐ซ๐จ๐ฆ๐ฉ๐ญ ๐ฐ๐ก๐ข๐๐ก ๐ฐ๐ข๐ญ๐ก๐จ๐ฎ๐ญ ๐ก๐๐๐ฏ๐ฒ ๐๐จ๐ซ๐ฆ๐๐ญ, ๐ญ๐ก๐ ๐๐๐ฌ๐ ๐ฆ๐จ๐๐๐ฅ ๐๐ฅ๐ซ๐๐๐๐ฒ ๐๐ฑ๐ก๐ข๐๐ข๐ญ๐ฌ ๐ฌ๐ญ๐ซ๐จ๐ง๐ ๐ฆ๐๐ญ๐ก ๐ฌ๐จ๐ฅ๐ฏ๐ข๐ง๐ ๐๐๐ข๐ฅ๐ข๐ญ๐ฒ ๐ข๐ง ๐ ๐ณ๐๐ซ๐จ-๐ฌ๐ก๐จ๐ญ ๐ฌ๐๐ญ๐ญ๐ข๐ง๐ , ๐ฌ๐จ๐ฆ๐๐ญ๐ข๐ฆ๐๐ฌ ๐๐ฏ๐๐ง ๐จ๐ฎ๐ญ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐ข๐ง๐ ๐ญ๐ก๐๐ญ ๐ญ๐ซ๐๐ข๐ง๐๐ ๐ฐ๐ข๐ญ๐ก ๐๐.\n\nAs shown in Figure 1, we use the Mathstral prompt (just \"please reason step by step, and put your final answer within \\\\boxed{}\") to 4 Qwen base models and achieve very strong performance. ๐๐ง ๐ญ๐ก๐ ๐.๐๐ ๐๐ง๐ ๐๐ ๐ฆ๐จ๐๐๐ฅ๐ฌ, ๐ญ๐ก๐ ๐ซ๐๐ฌ๐ฎ๐ฅ๐ญ๐ฌ ๐๐ซ๐ ๐๐ฏ๐๐ง ๐๐๐ญ๐ญ๐๐ซ ๐ญ๐ก๐๐ง ๐ญ๐ก๐๐ข๐ซ ๐๐-๐ญ๐ซ๐๐ข๐ง๐ข๐ง๐ ๐ฏ๐๐ซ๐ฌ๐ข๐จ๐ง (the recipe is DeepSeek-R1 thinking prompt and trained on MATH level 3โ5 data). On the 7B models, the performance are also very close to the RL results.\n\nWe then apply RL training with two different prompts (the Mathstral prompt and the DeepSeek-R1 thinking prompt), and ๐๐ข๐ง๐ ๐ญ๐ก๐๐ญ ๐๐จ๐ญ๐ก ๐ฎ๐ฅ๐ญ๐ข๐ฆ๐๐ญ๐๐ฅ๐ฒ ๐๐จ๐ง๐ฏ๐๐ซ๐ ๐๐ ๐ญ๐จ ๐ฌ๐ข๐ฆ๐ข๐ฅ๐๐ซ ๐ฌ๐๐จ๐ซ๐๐ฌ. As shown in Figures 2 and 3, training with the DeepSeek-R1 prompt initially improved rapidly due to fitting the format, and then its learning curve aligned with the Mathstral prompt.\n\nMy guess is that all the recent \"weird\" behaviors on Qwen models probably comes from continued pretraining on huge number of math QA pairs . For Qwen models, maybe you just find a suitable prompt by prompt optimization, and they can become reasoning machines.๐ค",
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"full_text": "Recently, I saw the papers \"rl on one sample\" and \"spurious reward\". The findings are interesting, but they are indeed expected. In fact, the math solving ability of the Qwen models is really easy to activateโ๐๐ฏ๐๐ง ๐ฐ๐ข๐ญ๐ก๐จ๐ฎ๐ญ ๐๐ง๐ฒ ๐ญ๐ซ๐๐ข๐ง๐ข๐ง๐ !๐คฃ\n\nI'd like to shareโฆ https://t.co/7wEmmZgnzA",
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