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Showing papers from Chongqing University Show all papers

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NeurIPS 2026ChongqingU California, MercedWatermarking & AI-text detection

SCTI: Self-Calibrated Trident Identification of Black-Box LLM Watermarks

Zhixiong Nan, Haoyu Lu, Tao Xiang, Yiwei Wang

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

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lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026ChongqingChongqing University of CommunicMolecules & drug discovery

Efficient Retrosynthesis Prediction with Integral Flow Matching and Latent Inversion

Tao Yin, Xiaohong Zhang, Yinjie Zhu, Jiacheng Zhang and 5 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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NeurIPS 2026ChongqingChina Mobile Group Guizhou CompaMulti-agent LLM systems

OrchestraRL: Learning to Orchestrate LLM Agent Swarms with Entropy-Aware Communication Control

Runze Fan, Shiyi Jiang, Junsheng Wang, Shuangjun Xie and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026ChongqingPruning & sparsity

ResKV: Residual-based Channel-wise Unstructured Pruning for KV Cache Compression

Yue Chen, Jinze Li, Dajiang Liu

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

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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026ChongQingChongqingChong QingZhejiang NormalBeijing Institute of TechnologyPose & motion

EgoHMP: Achieving Precise Human Motion Prediction in 3D Scenes via Egocentric Cues

Xin Zhao, Pengzhan Zhou, Ziyi Li, Riheng Jia and 2 more

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

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lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026ChongqingEfficient inference & serving

Keep or Preempt? Termination-Aware Scheduling for LLM Serving with Speculative Decoding

Ziyu Cheng, Songtao Guo, Mingyan Li, Chang Han and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 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
45%Niche pick
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NeurIPS 2026ChongqingchongqingRepresentation & contrastive learning

Learning Joint Semantic-Geometric Uncertainty for Structured Prediction with Closed-Loop Calibration

Bohan Li, Rui Leng, Qi Ma, Shaoyuan Mo and 1 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
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45%Niche pick
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NeurIPS 2026ChongqingThe First Affiliated Hospital ofSegmentation

Image Matting without Matting-Specific Annotations via Eikonal Fields

Tao Huang, Yi Wang, Xiaohong Zhang, Wei Zhang and 3 more

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

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lenient 0/5
medium 0/10
strict 0/5
76%Highly rated
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NeurIPS 2026TianjinChongqingTest-time compute

STDec: Spatio-Temporal Stability Guided Decoding for dLLMs

STDec improves dLLM decoding speed via spatial and temporal stability-guided adaptive thresholds without training, achieving up to 14.17x speedup.

Yuzhe Chen, Jiale Cao, Xuyang Liu, Jin Xie 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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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 0/5
83%Must read
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NeurIPS 2026Huazhong University of Science aAlibaba GroupDalian University of TechnologyNanyang TechnologicalChongqingAlignment & preference optimization

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion

MORA rewrites prompts to expand multi-dimensional reward diversity and breaks the safety-helpfulness trade-off, improving sequential single-preference alignment by up to 12.4% and simultaneous alignment by 4.6%.

ShiYing Huang, Liang Lin, Yuer Li, Kaiwen Luo and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5
80%Must read
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NeurIPS 2026HohaiNanjing University of Science anThe University of ManchesterGuangdong OPPO Mobile TelecommunThe Hong Kong University of ScieLLM agents & planning

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
86%Must read
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NeurIPS 2026ZhejiangBeijing University of AeronauticThe Chinese University of Hong KShandongnanjing universityAgent benchmarks & environments

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