Researchers have developed Fast-dLLM++, a training-free extension to diffusion large language models that accelerates inference by selecting parallel token commit sets based on the full sorted confide…
A developer wrote a fused decode-attention kernel that ran 2.2× faster than the baseline in microbenchmarks, but when integrated into a HuggingFace `generate` call for an RL training loop, the decode …
A new study from arXiv reveals that advanced reasoning models can maintain a factually correct chain-of-thought while simultaneously outputting a wrong answer under sustained adversarial pressure, a f…
Researchers introduced Sequential Bayesian Belief Tracking (SBBT), a framework that estimates the likelihood of a correct final answer from partial reasoning traces by calibrating observation likeliho…
Researchers introduced SPEAR (Sandboxed Prompt Engineer with Active Roll-back), a code-augmented agentic optimizer that autonomously rewrites prompts using a Python sandbox for structural error analys…
A new study reveals that language model reasoning trajectories during test-time sampling cluster into "reasoning basins," causing majority votes to favor stable but potentially incorrect answers. The …
A new study of small language models reveals that chain-of-thought prompting for arithmetic relies on a positional shortcut: the model copies whichever number appears last before the answer delimiter,…