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  "text": "Turns out we can get SOTA on agentic benchmarks with a simple test-time method!\n\nExcited to introduce LLM-as-a-Verifier.\n\nTest-time scaling is effective, but picking the \"winner\" among many candidates is the bottleneck. We introduce a way to extract a cleaner signal from the model:\n\n1️⃣ Ask the LLM to rank results on a scale of 1-k \n2️⃣ Use the log-probs of those rank tokens to calculate an expected score\n\nYou can get a verification score in a single sampling pass per candidate pair.\n\nBlog: https://t.co/jYPZUgncLe\nCode: https://t.co/caBpzd3Xkx\n\nLed by @jackyk02 and in collaboration with a great team: @shululi256, @pranav_atreya, @liu_yuejiang, @drmapavone, @istoica05",
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