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76%Highly rated
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NeurIPS 2026UppsalaNanyang TechnologicalSMUAlibaba DAMOTest-time compute

Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models

Self-rewarding sequential Monte Carlo improves masked diffusion language model sampling via trajectory-level confidence weights across parallel particles, boosting quality without training.

Ziwei Luo, Ziqi Jin, Lei Wang, Lidong Bing and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 5 on Hugging Face · Code ★ 16

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10/20 AI panelreviewers recommend it

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lenient 4/5
medium 6/10
strict 0/5
91%Must read
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NeurIPS 2026National University of SingaporeNational University of SingaporeNanyang TechnologicalSingapore University of TechnoloSMUAgent benchmarks & environments

MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome

MiroEval benchmarks multimodal deep research agents via process and outcome evaluation across 100 real-world tasks, finding process quality predicts outcomes and multimodal tasks reduce scores by 3, 10 points.

Fangda Ye, Yuxin Hu, Pengxiang Zhu, Yibo Li and 18 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 69 on Hugging Face · Code ★ 52

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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
78%Highly rated
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NeurIPS 2026Nanyang TechnologicalSMUUppsalaEfficient inference & serving

MARS: Enabling Autoregressive Models Multi-Token Generation

MARS fine-tunes autoregressive models to predict multiple tokens per forward pass without architectural changes, matching baseline accuracy while achieving 1.5-1.7x throughput and adjustable real-time speed via confidence thresholds.

Ziqi Jin, Lei Wang, Ziwei Luo, Aixin Sun

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 36 on Hugging Face · Code ★ 30

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11/20 AI panelreviewers recommend it

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