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Showing papers from University of Virginia Show all papers

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arXivGoogleU VirginiaVideo-language models

KeyRec: Bounded Visual Memory for Streaming and Long-Video Understanding

KeyRec creates bounded visual memory via recent caches and structured event banks to enable efficient long-video and streaming understanding with only 10% of visual tokens, outperforming compressed baselines.

Zihan Chen, Xuejian Rong, Xiaojuan Wang, Boqing Gong and 3 more

Published Sep 26, 2026 · 0 citations · ▲ 11 on Hugging Face

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lenient 5/5
medium 8/10
strict 2/5
80%Must read
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NeurIPS 2026U VirginiaSpatio-temporal forecasting

AdaST: Adaptive Coupling for Spatial-Temporal Forecasting

AdaST adaptively decomposes and recombines spatial-temporal data via heterogeneity-aware experts to match distinct coupling regimes, significantly outperforming state-of-the-art forecasting baselines.

Zhenyu Lei, Chenghao Liu, Yushun Dong, Qi R. Wang and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published Sep 20, 2026 · 0 citations

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lenient 5/5
medium 7/10
strict 0/5
83%Must read
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EMNLPOralU VirginiaAgent memory

Grounding Memory Summarization in Utility Intent

MemSuit improves memory summarization by self-distilling query-conditioned utility awareness into raw-conversation entries and decomposing blocks to prevent collateral erasure, boosting answer quality across query types.

Zhenyu Lei, Mingjia Shi, Xingbo Fu, Haoyu He and 2 more

Published Aug 20, 2026 · 0 citations

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
86%Must read
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EMNLPFindingsU VirginiaNetflixMicrosoftU WashingtonLLM reasoning & chain of thought

TeacherGRPO: Closing the Capacity Gap in Reasoning Distillation via Teacher Alignment

TeacherGRPO aligns teachers to student distributions via reinforcement learning to overcome reasoning distillation's Gap Curse and improves student performance.

Zhenyu Lei, Zihan Chen, Yaochen Zhu, Shangbin Feng and 4 more

Published Aug 20, 2026 · 0 citations

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5
83%Must read
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arXivU WashingtonTexas A&MU Notre DameU VirginiaNew YorkLLM evaluation & benchmarks

MoCo: A One-Stop Shop for Model Collaboration Research

MoCo unifies 26 model collaboration methods and 25 benchmarks to show collaboration outperforms single models in 61% of settings by up to 25.8%.

Shangbin Feng, Yuyang Bai, Ziyuan Yang, Yike Wang and 16 more

Published Jan 29, 2026 · 0 citations · Code ★ 63

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lenient 5/5
medium 6/10
strict 2/5
76%Highly rated
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ICLRU VirginiaAT&TFlorida StateBehavior & reasoning editing

Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping

REdit reshapes LLM neural circuits before editing to reduce reasoning-pattern interference, improving generality and locality over broad training baselines.

Zhenyu Lei, Qiong Wu, Jianxiong Dong, Yinhan He and 3 more

Published Jan 25, 2026 · 0 citations

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lenient 4/5
medium 6/10
strict 0/5
74%Highly rated
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ISBIU VirginiaBrain imaging & connectomics

BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration

BrainTAP predicts brain disorders by adaptively distilling cross-modal connectivity features and selectively fusing expert anatomical priors to outperform baselines on the ABCD dataset.

Zhenyu Lei, Aiying Zhang, Song Wang, Han Fan and 1 more

Published Jan 15, 2026 · 0 citations

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lenient 5/5
medium 3/10
strict 1/5
76%Highly rated
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ACL 2026U VirginiaNECKnowledge editing

LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory

LOKA introduces conflict-aware LLM knowledge updates using adaptive multi-unit memory with learned routing, improving accuracy and flexibility over separate unlearning and learning methods.

Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, Jundong Li and 1 more

Published 2026 · 0 citations

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lenient 5/5
medium 5/10
strict 0/5
78%Highly rated
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WSDMOralU VirginiaKnowledge editing

MolEdit: Knowledge Editing for Multimodal Molecule Language Models

MolEdit enables targeted knowledge editing in multimodal molecule language models via multi-expert adapters and expertise-aware switching, improving reliability and locality.

Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He and 2 more

Published Oct 20, 2025 · 0 citations

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lenient 5/5
medium 6/10
strict 0/5
70%Highly rated
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arXivU VirginiaArizona StateIn-context learning & prompting

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning

MAPLE uses influence-based pseudo-labeling to adaptively select many-shot ICL demonstrations, boosting LLM performance without extensive labeling costs.

Zihan Chen, Song Wang, Zhen Tan, Jundong Li and 1 more

Published May 22, 2025 · 0 citations

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lenient 4/5
medium 1/10
strict 0/5
78%Highly rated
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AAAI 2025U VirginiaGraph neural networks

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning

FedVN uses learnable virtual nodes and client-specific edge generators to eliminate graph distribution shifts across federated clients, improving GNN performance.

Xingbo Fu, Zihan Chen, Yinhan He, Song Wang and 3 more

Published Apr 11, 2025 · 3 citations

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lenient 5/5
medium 5/10
strict 1/5
74%Highly rated
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AAAI 2025Xi'an JiaotongU VirginiaGraph neural networks

Out-of-Distribution Generalization on Graphs via Progressive Inference

GPro improves graph out-of-distribution generalization by decomposing causal invariant learning into progressive inference steps and augmenting training with counterfactual samples, outperforming state-of-the-art methods by 4.91%.

Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu and 2 more

Published Apr 11, 2025 · 3 citations

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lenient 4/5
medium 5/10
strict 0/5
70%Highly rated
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AAAI 2025U VirginiaArizona StateU North Carolina at Chapel HillFlorida StateGraph neural networks

BrainMAP: Learning Multiple Activation Pathways in Brain Networks

BrainMAP learns multiple brain network activation pathways via sequential models and Mixture-of-Experts, improving fMRI analysis and interpretability.

Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding and 7 more

Published Apr 11, 2025 · 2 citations

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lenient 4/5
medium 1/10
strict 0/5
76%Highly rated
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ICML 2025U VirginiaLLM pretraining & scaling laws

Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion

Rotation symmetry generalizes permutation symmetry continuously for transformers, improving parameter matching and model fusion across language and vision tasks.

Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li

Published Feb 1, 2025 · 0 citations

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lenient 4/5
medium 6/10
strict 0/5
71%Highly rated
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arXivU VirginiaVisaGraph neural networks

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization

Proposed framework improves graph OOD generalization by jointly enhancing environment augmentation and invariant subgraph extraction consistency.

Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen and 3 more

Published Jan 7, 2025 · 0 citations

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7/20 AI panelreviewers recommend it

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lenient 3/5
medium 4/10
strict 0/5
71%Highly rated
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U VirginiaLinkedInRetrieval-augmented generation

CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture

CoRAG dynamically selects textual or graph retrieval and blends results for global hybrid knowledge access, outperforming local hybrid RAG on QA benchmarks.

Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu and 4 more

Published 2025 · 0 citations

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AI panel: 6 of 20 reviewers recommend it
lenient 4/5
medium 2/10
strict 0/5
78%Highly rated
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arXivU VirginiaFlorida StateGraph neural networks

Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective

A spectral benchmark reveals that graph neural networks capture diverse frequency components through non-linear layers, not just neighborhood aggregation filters.

Yushun Dong, Patrick Soga, Yinhan He, Song Wang and 1 more

Published Dec 10, 2024 · 1 citation

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lenient 3/5
medium 7/10
strict 1/5
71%Highly rated
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U VirginiaVisaGraph neural networks

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization

A modifier unifies graph augmentation and invariant subgraph extraction to improve distribution and label consistency for graph OOD generalization.

Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen and 3 more

Published Dec 9, 2024 · 3 citations

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AI panel: 6 of 20 reviewers recommend it
lenient 3/5
medium 3/10
strict 0/5
71%Highly rated
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ICLR 2024U VirginiaIBMXi'an JiaotongFairness & bias

Adversarial Attacks on Fairness of Graph Neural Networks

G-FairAttack is a framework that adversarially corrupts fairness in fairness-aware graph neural networks while preserving prediction utility.

Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu and 2 more

Published Oct 20, 2023 · 1 citation · ▲ 1 on Hugging Face · Code ★ 11

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
80%Must read
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arXivXi'an JiaotongU Notre DameU VirginiaLLM pretraining & scaling laws

LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection

LMBot distills graph neural network knowledge into language models for efficient graph-less Twitter bot detection, achieving state-of-the-art results across four benchmarks.

Cai, Zijian, Zhaoxuan Tan, Zhenyu Lei, Zhu, Zifeng and 3 more

Published Jun 30, 2023 · 0 citations

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
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