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…This effectively places it in the performance band of first-tier reasoning systems, matching or exceeding flagship models that are orders of magnitude larger, such as DeepSeek V3.2, GLM-5, and…
…Specifically, EEVEE improves average multi-benchmark scores by 10.38 and 24.32 points over Qwen3-4B-Instruct and DeepSeek-V3.2, surpassing SOTA methods GEPA and ACE by up to 37…
…blog post, check it out! This podcast is generated via ngxson/kokoro-podcast-generator , using DeepSeek-R1 and Kokoro-TTS . Thx to all all. Great work!!! I have a question for concurrency…
…While we have only evaluated SparDA on 8B models, we hope it can shed light on inference optimization for larger frontier models with sparse attention capability, including DeepSeek-V4, GLM-5.1…
…On Qwen3-4B and DeepSeek-R1-Distill-Qwen-1.5B across math reasoning benchmarks, POISE matches DAPO while requiring less compute. Moreover, its value estimator shows similar performance to a separate LLM…
📻 🎙️ Hey, I generated an AI podcast about this blog post, check it out! This podcast is generated via ngxson/kokoro-podcast-generator , using DeepSeek-R1 and Kokoro-TTS . when run this…
…Claude Opus 4.8 still failed 21% of tasks, GPT-5.6 Sol 26%, and GLM-5.2, Kimi K2 Thinking, MiniMax-M3, and DeepSeek-V4-Pro roughly one in three. Most…
…Replacing the MemPrivacy model with general LLMs (e.g., DeepSeek-V3.2-Think, GPT-5.2) causes substantial accuracy degradation, validating the necessity of our specialized fine-tuning. 🔗 Links Paper on arXiv…
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