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Showing papers from Xi'an Jiaotong-Liverpool University Show all papers

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NeurIPS 2026Xi'an Jiaotong-LiverpoolThe Chinese University of Hong KSpoken language models

Enhancing Speech Large Language Models through Reinforced Behavior Alignment

Yansong Liu, Yuan Liu

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
67%Highly rated
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NeurIPS 2026IRISA, CNRS, Univ RennesNational Institute of InformaticXi'an Jiaotong-LiverpoolAudio understanding

Progressive Layer-wise Supervision: Deep-to-Shallow Supervision Annealing for Efficient and Robust Speech Deepfake Detection

Hoan My Tran, Xin Wang, Xuechen Liu

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
83%Must read
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NeurIPS 2026Mohamed bin Zayed University of Xi'an Jiaotong-LiverpoolU LiverpoolHuazhong University of Science aThe Chinese University of Hong KMedical LLMs

DoAtlas-1: A Causal Compilation Paradigm for Clinical AI

DoAtlas-1 introduces causal compilation to convert medical evidence into executable causal estimands, achieving 98.5% canonicalization accuracy and 80.5% query executability across 1,445 effect kernels.

Yulong Li, Jianxu Chen, Xiwei Liu, Chuanyue Suo and 7 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: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
88%Must read
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NeurIPS 2026Xi'an Jiaotong-Liverpool UnPolyuHong Kong PolytechnicXi'an Jiaotong-LiverpoolU LiverpoolDatasets & benchmarks

EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction

NeuroDoc introduces a rulebook-guided task specification layer that standardizes EEG benchmarks into 53 reviewed entries with 245 executable task definitions across four model backbones.

Chengxuan Qin, 致格 陈, Pengshu, Rui Yang and 8 more

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

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5