Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
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Updated
Jun 17, 2026 - Python
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
[NeurIPS 2025] AGI-Elo: How Far Are We From Mastering A Task?
Benchmark methodology, task sets, and evaluation results for RA²R
Interactive benchmark for evaluating LLMs on clarifying ambiguous code requirements. Paper: arXiv:2607.00711
LoRA fine-tuning evaluation pipeline for code generation models on LiveCodeBench benchmark
“U.S. Provisional Patent Application No. 63/978,753, filed February 9, 2026” Aleph Generalizable Intelligence Convergence Engine (AGICE) - Evidence-Native, Policy-Governed Reasoning with Rollback and Geometrical Multi-Dimensional Transformation (GMDT) via the Complex Operator (−i)
Executable-code benchmark and verifier-guided post-training sandbox in the L20 project family.
Reproducible systems + methodology case study benchmarking three open-weight MoE coding models (gpt-oss-120b, Qwen3-Coder-30B, Nemotron-3-Super-120B) locally on one DGX Spark (GB10) via vLLM / TensorRT-LLM + OpenCode. Serving feasibility, task success, and efficiency across three layers.
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