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Showing papers from , Tsinghua University Show all papers

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Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering with Generative Optimization

Dapeng Jiang, Yizhe Chi, Kaisen Yang, Tianwei Luo and 18 more

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

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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PipeFSDP: Efficient Pipeline Parallel under Fully Sharded Data Parallel for Large Language Model Training

Xinglin Pan, Mingji Han, Penghao Zhao, Lin Zheng 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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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
45%Niche pick
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Quantile Benchmarking Heterogeneous Web Corpora in Open LLM Pretraining

Kairong Luo, Zhenbo Sun, Xinyu Shi, Shengqi Chen and 8 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
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Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Image Generation

Renping Zhou, Zanlin Ni, Tianyi Chen, Zeyu Liu and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
78%Highly rated
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FacePhys: State of the Heart Learning

FacePhys is a memory-efficient rPPG algorithm using temporal-spatial state space duality that cuts error by 49% with a 3.6 MB footprint and 9.46 ms latency.

Jack Tang, Kegang Wang, Yuntao Wang, Xin Liu and 4 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · 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 4/5
medium 6/10
strict 1/5