HumanEval

Timeline

1. Oct 8, 2026 · Research paper · 1 source
   Conditional Transfer from Controlled Pretraining Mixtures to Code
   Synthetic tasks are increasingly used both as probes of language-model capability and as pretraining data.
2. Oct 8, 2026 · Research paper · 1 source
   From Chain-of-Thought to Loops: Non-Autoregressive Latent Reasoning via Looped Transformers
   We introduce LLoCoT: a looped latent-reasoning framework that replaces left-to-right latent generation with iterative refinement of a compact latent workspace.
3. Oct 6, 2026 · Research paper · 1 source
   Few Bits, One Law: Toward W2A4KV2
   We introduce CanonQ, a unified quantization-aware training framework that addresses these challenges by separating source canonicalization from task-aware adaptation.
4. Oct 6, 2026 · Research paper · 1 source
   Adaptive Power Sampling for LLM Reasoning
   Sequence-level power sampling has recently emerged as a training-free approach to reasoning by sampling from a sharpened output distribution of a base large language model (LLM).

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