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Showing papers from Institute of automation, Chinese Academy of Sciences Show all papers

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NeurIPS 2026TsinghuaNorthwest Polytechnical UniversiInstitute of automation, ChinesePengcheng LabWeather & climate

OroPrecipBench: a km-scale benchmark for spatial precipitation downscaling over complex terrain

Hongyi Chen, Xiaokai Yan, Jiadong Zhang, Jingtao Ding and 3 more

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

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NeurIPS 2026Institute of automation, ChineseNankaiZhejiangU the Chinese Academy of ScienceInstitute of automation, ChineseLLM evaluation & benchmarks

SoDeArena: A Socially-Situated Reasoning Benchmark for Large Language Models

Senhao Yang, Ziling Yuan, Xiaoran Yang, Yaqing Wang and 6 more

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

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NeurIPS 2026TianjinU MacauMacau University of Science and Institute of automation, ChineseZhejiangMulti-agent LLM systems

LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency

jiachen Guo, Xinshan Zhu, Boyun Wang, Yanyan Liang and 3 more

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

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NeurIPS 2026Institute of automation, ChineseInstitute of automation, ChineseInstitute of automation, ChineseEmbodied agents

MHWA: Multi-timescale Hierarchical World-Action Model

Pengcheng Pan, Guoqing Ma, Yuhan Zhang, Yang Chen 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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NeurIPS 2026U Southern CaliforniaStevens Institute of TechnologyWestlakepeking universityInstitute of automation, ChineseImage recognition

PhysGraphNet: Physical-State Scene Graphs via Latent Graph Reasoning and Counterfactual Supervision

Zhengtao Yao, Runhao Li, Yan Wen, Guang Yang and 6 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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57%Worth a look
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NeurIPS 2026Hong Kong BaptistBeijing NormalInstitute of automation, ChineseStevens Institute of TechnologyCity University of Hong KongTest-time compute

Not All Low-Confidence Tokens Are Equal: Calibrated Confidence for Efficient Test-Time Reasoning

Tangyu Jiang, Haodi Wang, Yuanbing Zhu, Xiaojiang Du and 2 more

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

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NeurIPS 2026Institute of automation, ChineseNorthwest Polytechnical UniversiTsinghuaBeijing JiaotongTsinghua University, TsinghuaImage recognition

Does Seeing More Mean Knowing More? Mono-Anchored Advantage Normalization for Multi-Source Visual Reasoning

Fanhu Zeng, Zhicong Luo, Zefan Wang, Li You and 2 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026TsinghuaPeking University, TsinghuaPekingCentral SouthInstitute of automation, ChineseMultimodal reasoning

Unveiling Fine-Grained Visual Traces: Evaluating MultiModal Interleaved Reasoning Chains in Multimodal STEM Tasks

StepSTEM introduces 283 graduate-level STEM problems with strictly complementary visual-textual inputs to evaluate cross-modal reasoning via step-level alignment, revealing current MLLMs achieve only 38.29% accuracy due to heavy reliance on text.

Jing Jin, Hao Liu, Yan Bai, Yihang Lou and 8 more

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

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
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NeurIPS 2026Institute of automation, ChineseThe Hong Kong University of ScieSaw Swee Hock School of Public HInstitute of Automation, ChineseMaterials & chemistry

XDecomposer: Learning Prior-Free Set Decomposition for Multiphase X-ray Diffraction

XDecomposer learns prior-free multiphase X-ray diffraction decomposition as set prediction to identify constituent phases and proportions without candidate lists. It improves reconstruction accuracy and phase identification across simulated and experimental datasets.

Hanyu Gao, Bin Cao, YUNYUE SU, Tong-yi Zhang and 1 more

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

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
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