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NeurIPS 2026TsinghuaTsinghuaMedical LLMs

MIND-DDI: Multi-Omics Interpretable Drug-Drug Interaction Prediction with Joint Optimization of Graph Structure, Neural Architecture, and Symbolic Rules

Linxin Xiao, Xin Wang, Yang Yao, Wenwu Zhu

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

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lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Tsinghua Shenzhen International ShandongTsinghuaHarbin Institute of Technology, Pengcheng LaboratoryDiffusion models

From Generation to Restoration: Residual Diffusion for Neural Channel Decoding

Qinshan Zhang, Shipeng Guo, Xuantai Wu, Bin Chen and 4 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 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Tencent HYTongjiAlibaba Groupinstitute of neuroscienceZhejiangAgent memory

OmniMemBench: Towards Scalable Evaluation of Long-Term Omni-Modal Agent Memory

Junhan Shi, Qiyi Wang, Xiongwei Wu, Ming Ma and 7 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Beijing Institute of TechnologyJX Intelligence Technology Co., TsinghuaVision-language-action models

VISTA: Support-Anchored Value Targeting for Fast Flow-Based Vision-Language-Action Policies

Hongjie Cao, Yuxuan Yang, Yunpeng Mei, Peng Cheng and 7 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · 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 2026, TsinghuaTsinghuaTsinghua University, TsinghuaTsinghuaDiffusion models

Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Image Generation

Renping Zhou, Zanlin Ni, Tianyi Chen, Zeyu Liu 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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78%Highly rated
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NeurIPS 2026TsinghuaSouthern University of Science aQiuzhen College, TsinghuaDepartment of Automation, TsinghTsinghuaRL for LLMs

Boosting LLM Reasoning via Human-Inspired Reward Shaping

T2T dynamically rewards exploration on failed reasoning attempts and brevity on correct ones, significantly boosting LLM math reasoning over GRPO.

Wenze Lin, Zhen Yang, Xitai Jiang, Xiaoteng Ma 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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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5