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NeurIPS 2026South China NormalCity University of MacauVQA & captioning

SynMQG: Disentanglement and Mutual-Information Optimization for Synergistic Multi-modal Question Generation

Junjie Zhang, ShengYong Ding, Shuangyin Li

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

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strict 0/5
67%Highly rated
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NeurIPS 2026Korea Electronics Technology InsChonnam NationalVQA & captioning

SynTeX-FL: Cross-Modal Text Transfer in Federated Learning for Medical Visual Question Answering

Min Hyuk Kim, Hyun Ki, Seokbong Yoo

Sydney Poster Session 2, Tue, Dec 8, 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
57%Worth a look
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NeurIPS 2026Beijing University of AeronauticFudanZhejiangInstitute of Computing TechnologKuaishou- 快手科技VQA & captioning

Where Do Long Captions Fail? Position-Aware Diagnosis and Reinforcement Learning for Detailed Image Captioning

Yuanze Hu, Zhichao Yang, Junwei Jing, Xin 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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AI panel: 1 of 20 reviewers recommend it
lenient 0/5
medium 1/10
strict 0/5
57%Worth a look
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NeurIPS 2026GoogleGoogle ResearchElectrical Engineering & ComVQA & captioning

Mind the Gap: Dataset and Fine-grained Evaluation for Inline Audio Descriptions

Subhashini Venugopalan, Yingwen Tan, Taylor Roper, Jimmy Tobin and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 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
45%Niche pick
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NeurIPS 2026FudanGuangdong OPPO Mobile TelecommunOppo AI centerOPPO Guangdong Mobile TelecommunVQA & captioning

EVA-Cap: Optimizing Audiovisual Video Captioning via Event-Centric Alignment

Jiapeng Shi, Qiuxia Hou, Jiaqi Leng, Junke Wang and 4 more

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

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83%Must read
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NeurIPS 2026EPFLAppleApple IncVQA & captioning

BalCapRL : A Balanced Framework for RL-Based MLLM Image Captioning

BalCapRL balances RL for MLLM captioning across correctness, coverage, and fluency via normalized multi-objective rewards and length masking, boosting quality metrics substantially.

Shaokai Ye, Vasileios Saveris, Yihao Qian, Jiaming Hu and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · ▲ 4 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5
76%Highly rated
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NeurIPS 2026Shanghai Jiao TongEast China NormalFudanTencent HunyuanVQA & captioning

Exemplar2VQA: A Scalable Exemplar-Driven Visual Question Answering Generation Framework via Multi-Agent Coding

Exemplar2VQA uses multi-agent coding with geometric libraries to generate scalable 3D spatial question-answer pairs that improve MLLM spatial reasoning across indoor, outdoor, and mixed benchmarks.

Jiayu Ying, Qijian Tian, Ruijie Xu, Xinnan Zhu and 3 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 5/5
medium 5/10
strict 0/5