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Frontier LLMs drop from 83% to 43% once reasoning has to chain across domains (arxiv.org)
2 points by MarcoDewey 69 days ago | hide | past | pdf | 1 comment on HN

In plain words: A new text-only test chains two to thirteen subproblems from different fields—math, coding, search, and more—into one prompt, sometimes with tricky wording and extra clutter, to see if models can reason across domains at once. The best model solved 43.3% of them.

Abstract · Relay-Bench: Evaluating LLMs on Multi-Domain Reasoning Chains

Introducing Relay-Bench, an unsaturated, holistic, text-only benchmark that measures LLMs' ability to complete an assortment of tasks from distinct domains in a single prompt. The leading model, GPT-5.5 (xHigh), scores 43.3%. The test set entirely consists of composite problems: groups of single-domain subproblems that are strung together into challenges that require reasoning across multiple domains in combination. Many of these problems then have layers of complexity added through prompt encoding and deliberate context bloat. Domains tested include visual reasoning, coding, math, information extraction (with a focus on web search), problem-solving, general knowledge, and data analysis. No restrictions are imposed outside of the model harness, and models are explicitly encouraged to leverage code-execution, web searches, and all available tools. All problems are composed of two to thirteen subproblems and do not require multi-modal input or output.

Liam Swayne
arXiv:2607.18438 · cs.CL, cs.AI, cs.LG · submitted Jul 20, 2026
abstract · pdf · html · 21 pages, 7 figures

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Is that the model, all models, the agent?

Does something like this make a difference?

"Schema Harness Achieves ~99% on Arc‑AGI‑3 Public" (2026-07) https://news.ycombinator.com/item?id=48935905