Good Papers

Showing papers from Hohai University Show all papers

57%Worth a look
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CycleSpectra: Cyclic Motion Spectra for Phase-Queryable 4D Cardiac Reconstruction

Xueming Fu, Xin Li, Lixia Han, Ao Shen 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
80%Must read
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A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression

TACO is a training-free framework that learns adaptive compression rules from terminal agent trajectories to filter noisy observations, improving accuracy by 1-4% and reducing token usage across benchmarks.

JinCheng Ren, Siwei Wu, Yizhi Li, Zhu and 9 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 24 on Hugging Face · Code ★ 47

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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 6/10
strict 1/5
91%Must read
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JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation

JMed48k introduces a Japanese medical licensing benchmark with 48,862 questions showing proprietary vision-language models gain substantially from images while medical-specific systems ignore visual evidence.

Yue Xun, Junyu Liu, Qian Niu, Xinyi Wang and 9 more

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

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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 8/10
strict 4/5
86%Must read
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EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies

EcoGym benchmarks long-horizon LLM economic planning across open-source environments, revealing no single model dominates and exposing strategic and execution suboptimalities.

Xueyu Hu, Jinxiang Xia, Shengze Xu, Kangqi Song and 12 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 11 on Hugging Face · Code ★ 99

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5