Good Papers: read the good ones

LucidNFT improves flow-based real-world super-resolution via LR-anchored multi-reward preference optimization that reduces hallucinations while preserving perceptual quality.

Song Fei, Tian Ye, Sixiang Chen, Zhaohu Xing 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 2026The Hong Kong University of Scie The Hong Kong University of Scie Hong Kong University of Science Zhejiang Alignment & preference optimization

Strengthening LLMs for Tabular Prediction with Structural Priors

PRPO incorporates column-permutation invariance into LLM post-training via label-preserving permutations and two-level advantage estimation, enabling an 8B model to match specialized tabular baselines and outperform 685B reasoning LLMs by up to 53%.

Pengxiang Cai, Zihao Gao, Wanchen Lian, Guocong Li and 1 more

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

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NeurIPS 2026Harbin Institute of Technology Tsinghua Harvard Alibaba Group Hong Kong University of Science RL for LLMs

LoopRPT: Reinforcement Pre-Training for Looped Language Models

LoopRPT applies reinforcement pre-training to looped language models by assigning rewards to latent reasoning steps, improving per-step quality and accuracy-computation trade-offs.

Guo Tang, Shixin Jiang, Heng Chang, Zihan Zhang and 6 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026 · ▲ 16 on Hugging Face

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NeurIPS 2026The Hong Kong University of Scie The Hong Kong University of Scie LLM reasoning & chain of thought

Ask, Answer, and Detect: Role-Playing LLMs for Personality Detection with Question-Conditioned Mixture-of-Experts

ROME uses role-playing LLMs to generate questionnaire answers from posts, then routes them via mixture-of-experts to improve personality detection and mitigate label scarcity.

Yifan Lyu, Liang Zhang

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

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lenient 5/5

medium 6/10

strict 0/5

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NeurIPS 2026The Hong Kong University of Scie Southwest Jiaotong The Hong Kong University of Scie Physics-informed ML & PDEs

Reformulating Neural Operators in $d+1$ Dimensions for Embedding Evolution

Reformulating neural operators in d+1 dimensions via auxiliary embedding evolution achieves lowest relative L2 error across benchmarks without brute-force scaling.

Haoze Song, Zhihao Li, Xiaobo Zhang, Zecheng Gan and 2 more

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

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NeurIPS 2026The Hong Kong University of Scie The Hong Kong University of Scie Guangzhou Medical critical care medicine, Guangzho HKUST-GZ Uncertainty & calibration

Robust Conditional Conformal Prediction via Branched Normalizing Flow

Branched Normalizing Flow bounds conditional invalidity via Wasserstein distance and improves robust conditional coverage under distribution shift.

Rui Xu, Xingyuan Chen, Wenxing Huang, Minxuan Huang and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Harbin Institute of Technology The Hong Kong University of Scie Department Of Computer Science a Tsinghua Kuaishou- 快手科技 RL for LLMs

SpatialFlow-GRPO: Where Spatial Credit Drives Image Editing

SpatialFlow-GRPO introduces region-aware rewards to replace whole-image feedback, improving fine-grained image editing via spatially aligned policy updates.

Yankai Yang, Yancheng Long, Wei Chen, Xingyu Lu and 6 more

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

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NeurIPS 2026HKUST Department of Computer Science a The Hong Kong University of Scie Hong Kong University of Science Test-time compute

Attention-Based Sampler for Diffusion Language Models

Attention-based sampling orders diffusion language model tokens by attention-matrix column sums to maximize likelihood and improve generation quality with greater parallelism.

Yuyan Zhou, Kai Syun Hou, Weiyu Chen, James Kwok

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

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NeurIPS 2026SUN YAT-SEN UNIVERSITY South China University of Techno Harbin Institute of Technology Institute of automation, Chinese Shanghai Jiaotong Vision-language-action models

RePO-VLA: Recovery-Driven Policy Optimization for Vision-Language-Action Models

RePO-VLA improves vision-language-action robustness by assigning roles to success, recovery, and failure trajectories, raising adversarial success from 20% to 75%.

Weijia Liufu, Xiaoyu Guo, Ruiyi Chen, Jingzhi Liu and 15 more

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

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lenient 5/5

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NeurIPS 2026Shanghai Jiaotong Tencent Huawei Technologies Ltd.The Hong Kong University of Scie U Edinburgh, University of Edinb Hallucination & factuality

BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation

BALTO applies balanced token-level credit assignment to mitigate LLM hallucinations by redistributing probability from unsupported to faithful content, outperforming response-level methods on faithfulness benchmarks.

Ning Li, Zixuan Guo, Yan Xu, Wenbo Fei and 6 more

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

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lenient 5/5

medium 9/10

strict 1/5

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NeurIPS 2026OralThe Hong Kong University of Scie Eindhoven University of Technolo Hong Kong University of Science 3D vision & reconstruction

TransmissiveGS: Residual-Guided Disentangled Gaussian Splatting for Transmissive Scene Reconstruction and Rendering

TransmissiveGS disentangles reflective and transmissive components via dual Gaussian representations and residual-guided multi-view separation for transmissive scene reconstruction.

Zhenyu Liang, Xiao Zhang, Tianchao Li, Jack C Cheng and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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lenient 4/5

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NeurIPS 2026The Hong Kong University of Scie U Science and Technology of Chin Hong Kong University of Science The Chinese University of Hong K Vision-language models

Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation

Direct product flow matching decouples radial and angular dynamics via constant-speed geodesic transport and hidden-state conditioning for state-of-the-art few-shot vision-language adaptation.

Hongxu Chen, Yanghao Wang, Bowei Zhu, Hongxiang Li and 5 more

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

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NeurIPS 2026The Hong Kong University of Scie The Hong Kong University of Scie Bournemouth Shanghai Jiaotong Beijing University of Posts and Vision-language-action models

Beyond Appearance Shifts: Task-Semantic Action Calibration for VLA Models

BAS-VLA calibrates frozen VLA actions via breaking-centered calibration and selective preservation gating to suppress stale-task drift and separate semantics. It achieves 98% clean success, 0% under target swaps, and 70% under style shifts versus 42%.

Shuaijun Liu, Feiyang You, Chengyu Wu, Shuyang Hao and 5 more

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

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lenient 4/5

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70%Highly rated

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NeurIPS 2026The Hong Kong University of Scie Institute of AI for Industries, Vision-language models

VVTRec: Radio Interferometric Reconstruction through Visual and Textual Modality Enrichment

VVTRec uses visual and textual visibility enrichment with vision-language models to reduce artifacts and improve radio interferometric image reconstruction.

Kai Cheng, Ruoqi Wang, Qiong Luo

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

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NeurIPS 2026HKUST Tencent IEG The Hong Kong University of Scie Digital Content Technology Cente Zhejiang 3D vision & reconstruction

Real2Sim in HOI: Toward Physically Plausible HOI Reconstruction from Monocular Videos

HA-HOI reconstructs physically plausible 4D human-object interactions from monocular video by anchoring object motion to human action and refining via physics simulation. It improves alignment, contact consistency, and simulation readiness over prior monocular reconstruction methods.

Yubo ZHAO, Yujin Chai, Yunao Dong, Chengfeng Zhao and 3 more

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

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lenient 5/5

medium 8/10

strict 0/5

72%Highly rated

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NeurIPS 2026Jilin Immunocan Biotech Tsinghua Hong Kong University of Science Nanyang Technological Proteins

ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design

ProteinOPD balances multi-objective protein preferences via on-policy distillation from preference-specific teachers, preserving designability with 8x training speedup over RL methods.

Yulin Zhang, He CAO, Zihao Jiang, Chenyi Zi and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 4/5

medium 4/10

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71%Highly rated

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NeurIPS 2026The Hong Kong University of Scie The Hong Kong University of Scie U Macau Hong Kong University of Science Locomotion

PDF-HR: Pose Distance Fields for Humanoid Robots

PDF-HR learns continuous, differentiable pose distance fields from retargeted humanoid motions to score pose plausibility, substantially improving tracking, mimicry, and retargeting baselines.

Yi Gu, Yukang Gao, Yangchen Zhou, Xingyu Chen and 6 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: 7 of 20 reviewers recommend it

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