Good Papers: read the good ones

Gen-Searcher trains a search-augmented image generation agent via supervised and reinforcement learning, yielding about 16-point gains on knowledge-intensive benchmarks.

Kaituo Feng, Manyuan Zhang, Shuang Chen, Yunlong Lin and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 54 on Hugging Face · Code ★ 400

100% Readers1 of 1 upvoted

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71%Highly rated

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NeurIPS 2026ShanghaiTech Shanghai Jiao Tong The Chinese University of Hong K Shanghai Jiaotong Morphic Robotics Robot manipulation

Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry

IDP uses conditional expert geometry to implicitly enforce training-time drifting corrections, yielding a one-step generative policy that improves robot control speed while maintaining valid action manifolds.

Zemin Yang, Yaoyu He, Yiming Zhong, Yuhao Zhang and 4 more

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

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lenient 3/5

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72%Highly rated

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NeurIPS 2026Tsinghua The Chinese University of Hong K Hong Kong University of Science Duke Image restoration

PRISM: Rethinking Atmospheric Scattering Reconstruction as a Unified Understanding and Restoration Model for Real-world Dehazing

PRISM proposes a unified physically structured framework for real-world dehazing via proximal scattering atmosphere reconstruction, online non-uniform haze synthesis, and selective self-distillation adaptation to achieve competitive restoration results.

Chengyu Fang, Chunming He, Yuelin Zhang, Chubin Chen and 5 more

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

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NeurIPS 2026Columbia The Chinese University of Hong K Dartmouth College Microsoft Microsoft Research LLM agents & planning

Reinforcement World Model Learning for LLM-based Agents

RWML learns action-conditioned world models for LLM agents via self-supervised sim-to-real alignment, outperforming direct task-success RL by up to 6.9 points without expert data.

Xiao Yu, Baolin Peng, Ruize Xu, yelong shen and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 28 on Hugging Face

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NeurIPS 2026Tsinghua University, Tsinghua Hunan Dalian Martime The Chinese University of Hong K Tsinghua Unified multimodal models

DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization

DCVD jointly detects vulnerable functions and localizes vulnerable statements via dual-channel cross-modal fusion with explicit multi-granularity supervision, outperforming state-of-the-art baselines.

Wenxin Tang, Wenbin Li, Junliang Liu, Jingyu Xiao and 9 more

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

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NeurIPS 2026U Sydney The Chinese University of Hong K Shenzhen Institutes of Advanced INRIA Shanghai Artificial Intelligence Pruning & sparsity

PARE: Pruning and Adaptive Routing for Efficient Video Generation

PARE combines structure-aware width pruning and timestep-conditioned adaptive depth routing to cut video diffusion compute while preserving generation quality.

Yutong Wang, Yunke Wang, Tianfan Xue, Yu Qiao 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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NeurIPS 2026Department of Computer Science a Chinese University of Hong Kong Stanford The Chinese University of Hong K Genomics & single-cell

Towards Scalable Context-Aware Single-Cell Spatial Transcriptomics Prediction from Histology Images

CELLO predicts single-cell spatial transcriptomics from histology via grid sampling and distance-decay cross-attention, achieving 14x faster inference than DeepSpot2Cell without upstream segmentation.

Zijun Gao, Chunbin Gu, Xiangde Luo, Jinxi Xiang and 1 more

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

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NeurIPS 2026U Michigan The Chinese University of Hong K Test-time compute

Confidence-Based Decoding is Provably Efficient for Diffusion Language Models

Confidence-based decoding achieves ε-accurate diffusion language model sampling in Õ(H(X₀)/ε) iterations by adaptively unmasking tokens until cumulative entropy exceeds a threshold.

Changxiao Cai, Gen Li

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

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NeurIPS 2026The Chinese University of Hong K National University of Defense T City University of Hong Kong Hefei University of Technology The Education University of Hong Graph neural networks

DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation

DisRFM embeds graph representations on constant-curvature manifolds with polar flow matching to prevent structural degeneration and optimization instability, outperforming state-of-the-art graph domain adaptation methods.

Yingxu Wang, Xinwang Liu, Siyang Gao, Mengzhu Wang 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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89%Must read

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NeurIPS 2026SUN YAT-SEN UNIVERSITY Chinese University of Hong Kong The Chinese University of Hong K Nanjing University of Aeronautic Southwest Jiaotong Multimodal reasoning

AgroOmni: A Large-Scale Multi-view Agricultural Dataset for Cross-Scale Multimodal Reasoning

AgroOmni introduces 288K multi-view agricultural VQA pairs across scales, and AgroNVILA achieves state-of-the-art 62.32% on AgroMind while demonstrating strong cross-scale generalization.

Jiarui Zhang, Junqi Hu, Zurong Mai, Yang Liu and 9 more

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

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NeurIPS 2026Monash VAST The Chinese University of Hong K Multimodal reasoning

OpenView: Empowering MLLMs with Out-of-view VQA

OpenView introduces out-of-view VQA via panoramic synthesis, boosting MLLM accuracy from 48.6% to 64.1%.

Qixiang Chen, Cheng Zhang, Chi-Wing Fu, Jingwen Ye and 1 more

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

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lenient 4/5

medium 5/10

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86%Must read

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NeurIPS 2026The Chinese University of Hong K Shanghai Jiaotong SenseTime Reseach Spoken language models

MultiTalk: Scaling Full-Duplex Speech Models to Long, Multi-Party, Bilingual Conversation

MultiTalk introduces 57.6k hours of synthetic multi-party bilingual dialogue data and MultiTalkBench for long-form full-duplex evaluation, training a model that sustains coherent extended multi-party English-Chinese conversation and outperforms open-source baselines.

Ke Wang, Houxing Ren, Zimu Lu, Yunqiao Yang 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 5/5

medium 7/10

strict 2/5

80%Must read

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NeurIPS 2026U Toronto Tsinghua The Chinese University of Hong K Tsinghua University, Tsinghua GigaAI Embodied agents

DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning

DriveDreamer-Policy unifies depth generation, video prediction, and motion planning via geometry-aware world representations, achieving 89.2 PDMS on Navsim v1 and 88.7 EPDMS on v2.

Yang Zhou, Xiaofeng Wang, Hao Shao, Letian Wang and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face · Code ★ 60

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AI panel: 12 of 20 reviewers recommend it

lenient 5/5

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