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Showing papers from School of Computer Science, Peking University Show all papers

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NeurIPS 2026School of Computer Science, PekiPekingMultimodal hallucination

Cross-Layer Evolution Graph Learning for Fine-grained VLM Hallucination Detection

Shaoxuan Li, Shiliang Zhang

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
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medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026PekingSchool of Computer Science, PekiCUNY Baruch CollegeZhengren QuantGraphs & LLMs

AlphaPROBE: Alpha Mining via principled retriveval and on-graph biased evolution

Taian Guo, Haiyang Shen, Junyu Luo, Binqi Chen and 5 more

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

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NeurIPS 2026PekingSchool of Computer Science, PekiProteins

RipplePLM: Structural and Property Decoupling for Protein Mutation Effect Generation

RipplePLM decouples mutation effects into structural contact pathways and biochemical property tokens via direct-distal cross-attention, boosting mutation description ROUGE-L from 22.23 to 35.65.

Liuzhenghao Lv, Yuyang Liu, Yuyang Gao, Li Yuan and 1 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: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
78%Highly rated
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NeurIPS 2026School of Computer Science, PekiPekingTsinghuaLLM reasoning & chain of thought

MindLoom: Composing Thought Modes for Frontier-Level Reasoning Data Synthesis

MindLoom decomposes reasoning into composable thought modes to synthesize diverse, difficulty-controlled frontier reasoning data, improving STEM benchmark performance after fine-tuning.

Haiyang Shen, Taian Guo, Xuanzhong Chen, Mugeng Liu 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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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