The Signal

Everything that matters in AI, with our take.

Updated through the day. Every headline links straight to the source. The two lines underneath are ours.

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arXiv cs.LGPaper8d ago

Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling

The theoretical contribution is clean: transformers can implement sampling algorithms without parameter updates. But the practical signal is less clear. This is foundational understanding of what in-context learning can do, not a technique you'd use to build something. Worth reading if you care about the theory of why transformers work.

research transformers in-context-learning

arXiv cs.CLPaper14d ago

SALA: Semantic-Aware Logical Alignment for Complex Reasoning in In-Context Learning

In-context learning demonstration selection is a real practical problem that many builders face. SALA's approach of learning reasoning operations rather than using fixed templates is more flexible than prior work. It shows gains across three LLMs and four benchmarks, which suggests robustness. If you're tuning ICL for complex reasoning tasks, this is worth testing against your demo-selection pipeline.

research in-context-learning reasoning