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NeurIPS 2026AppleU Tübingen, AppleApple MLRWayveRL for LLMs

Expanding LLM Agent Boundaries with Strategy-Guided Exploration

Strategy-Guided Exploration improves LLM agent reinforcement learning by planning in language strategies rather than actions, boosting performance across UI, tool, coding, and embodied tasks.

Andrew Szot, Michael Kirchhof, Omar Attia, Alexander Toshev

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
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NeurIPS 2026WayveUniversity Of CambridgeTime series forecasting

LLM Flow Processes for Text-Conditioned Regression

LLM flow processes combine marginal LLM predictive densities with lightweight diffusion neural processes via gradient-free product-of-experts sampling to yield calibrated, locally consistent, text-conditioned regression trajectories.

Felix Biggs, Samuel Willis

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5