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NeurIPS 2026U California, Santa Barbara UCSB / Apple Caltech/Gatech Google Accenture LLM agents & planning

Ares: Adaptive Reasoning Effort Selection for Efficient LLM Agents

Ares uses a lightweight router to select per-step reasoning effort for LLM agents, cutting reasoning tokens by up to 52.7% with minimal accuracy loss.

Jingbo Yang, Bairu Hou, Jiayun (Peter) Wang, Wei Wei and 2 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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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 7/10

strict 0/5

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NeurIPS 2026Caltech/Gatech Qiyuan Lab Washington University in St. Lou Accenture Google Controllable generation

UniVL: Unified Vision-Language Embedding for Spatially Grounded Contextual Image Generation

UniVL embeds visual and textual instructions into spatial masks for contextual image generation, cutting FID to 11 and inference costs by 52% without a text encoder.

Jiayun (Peter) Wang, Yu Wang, Weijie Gan, Zhenting Wang and 1 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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9/20 AI panelreviewers recommend it

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