Good Papers

Showing papers from Toyota Research Institute Show all papers

57%Worth a look
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MilliVid: Adaptive Latents for Long-Range Consistency in Video Generation

Ishaan Chandratreya, David Charatan, Basile Van Hoorick, Sergey Zakharov and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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1/20 AI panelreviewers recommend it

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
91%Must read
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Benchmarking Open-Ended Multi-Agent Coordination in Language Agents

Alem benchmarks open-ended multi-agent coordination for language agents, showing frontier LLMs average ~6% returns and individual competence does not imply coordination competence.

Kale-ab Tessera, Andras Szecsenyi, Cameron Barker, Alexander Rutherford and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face · Code ★ 51

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5
80%Must read
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Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning

Enforcing multi-step latent predictions improves context-based offline meta-RL by capturing task dynamics, reducing value errors, and boosting zero-shot and few-shot generalization.

Mohammadreza Nakhaeinezhad, Aidan Scannell, Kevin Luck, Joni Pajarinen

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · 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 3/5
medium 8/10
strict 1/5
78%Highly rated
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Analytical Correction for Subsampling Bias in Drifting Models

Analytical Bias Correction fixes O(1/n) minibatch centroid bias in drifting models via a closed-form plug-in, reducing it to O(1/n²) with negligible overhead and improving CIFAR-10 FID.

Jiaru Zhang, Zeyun Deng, Juanwu Lu, Ziran Wang and 1 more

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 1/5
72%Highly rated
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Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language Models

EyeVLM benchmarks vision-language models on gaze following and social gaze prediction, finding they lack precise gaze understanding despite training improvements.

Hengfei Wang, Anshul Gupta, Pierre Vuillecard, Jean-marc Odobez

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5