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NeurIPS 2026North Carolina StateU Texas at ArlingtonU Alabama, BirminghamUniJohns HopkinsDukeMultimodal reasoning

Leveraging Latent Visual Reasoning in Silence

Latent visual reasoning enhances multimodal training despite being largely unused at inference; attention-based reinforcement learning preserves its benefits by promoting latent-text interaction during training.

Dongyao Zhu, Zhen Wang, Xi Xiao, Han Jiang and 6 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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lenient 4/5
medium 6/10
strict 1/5
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NeurIPS 2026The Ohio StateFudanOhio State University, ColumbusAmazonAmazon AGI SFLLM agents & planning

Quest: Training Frontier Deep Research Agents with Fully Synthetic Tasks

QUEST trains open deep research agents via synthetic rubric-tree tasks and context management, achieving frontier-level performance across eight benchmarks with only 8K examples.

Jian Xie, Tianhe Lin, Zilu Wang, Yuting Ning and 15 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 43 on Hugging Face · Code ★ 257

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
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NeurIPS 2026The Ohio StateU California, BerkeleyOhio State University, ColumbusUC BerkeleyNeoCognition Ohio StateWeb & GUI agents

Autonomous Continual Learning for Environment Adaptation of Computer-Use Agents

ACuRL enables autonomous continual learning for computer-use agents via curriculum reinforcement learning, yielding 3-29% gains without catastrophic forgetting or human data.

Tianci Xue, Zeyi Liao, Tianneng Shi, Zilu Wang and 4 more

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

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5