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PaperPicks
Conferences
Yueting Zhuang
49 papers at tracked venues · 45 at CORE A* · active 2024–2026
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Venues
ACL
×13
ACM MM
×8
NeurIPS
×7
CVPR
×4
ICCV
×4
ICML
×4
AAAI
×3
EMNLP
×3
ICLR
×1
IJCAI
×1
WWW
×1
Frequent coauthors
Wenqi Zhang
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Minghe Gao
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×4
Qifan Yu
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Zhiqi Ge
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Zhengxi Lu
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×2
Haolei Xu
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Yuqian Yuan
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×2
Tianwei Lin
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×2
Kaihang Pan
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×2
Dong Chen
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Yaoke Wang
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Jiale Chang
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Papers
AHEAD: Attention Head Energy-Aware Dynamics for Hallucination Mitigation in MLLMs
ACL 2026
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Jiale Chang
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Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
ACL 2026
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Wenqi Zhang
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Experience-driven Multi-turn Reinforcement Learning for GUI Agents
ACL 2026
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Zhengxi Lu
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GUI-G²: Gaussian Reward Modeling for GUI Grounding
AAAI 2026
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Fei Tang
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MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
ACL 2026
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Jie Cao
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Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
ACL 2026
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Haolei Xu
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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs
WWW 2026
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Zhaoyu Fan
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UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization
ACL 2026
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Zhengxi Lu
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2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
ICCV 2025
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Wenqi Zhang
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Align²LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation
ACL 2025
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Hongzhe Huang
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AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea
CVPR 2025
·
Qifan Yu
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Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program
ICCV 2025
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Minghe Gao
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Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts
ACM MM 2025
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Xiangnan Chen
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Counterfactual Evolution of Multimodal Datasets via Visual Programming
NeurIPS 2025
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Minghe Gao
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EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?
NeurIPS 2025
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Yuqian Yuan
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EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution
NeurIPS 2025
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Zhebei Shen
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EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model
ACM MM 2025
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Sijing Li
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HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation
ICML 2025
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Tianwei Lin
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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models
AAAI 2025
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Chutian Meng
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Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining
ICCV 2025
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Zhiqi Ge
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Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning
NeurIPS 2025
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Kaihang Pan
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Let LRMs Break Free from Overthinking via Self-Braking Tuning
NeurIPS 2025
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Haoran Zhao
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Logic Distillation: Learning from Code Function by Function for Decision-making Tasks
IJCAI 2025
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Dong Chen
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Mastering Collaborative Multi-Modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness
ICCV 2025
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Qifan Yu
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Meta-Reflection: A Feedback-Free Reflection Learning Framework
ACL 2025
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Yaoke Wang
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Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
NeurIPS 2025
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Haolei Xu
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Robust Modality-Incomplete Anomaly Detection: A Modality-Instructive Framework with Benchmark
ACM MM 2025
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Bingchen Miao
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STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training
CVPR 2025
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Haiyi Qiu
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SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation
ACM MM 2025
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Siqi Chen
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TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
ACL 2025
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Tianwei Lin
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VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM
CVPR 2025
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Yuqian Yuan
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What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities
ICML 2025
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Wendong Bu
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Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization
ACL 2024
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Wenqi Zhang
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Auto-Encoding Morph-Tokens for Multimodal LLM
ICML 2024
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Kaihang Pan
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Bridging Local Details and Global Context in Text-Attributed Graphs
EMNLP 2024
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Yaoke Wang
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DEMON24: ACM MM24 Demonstrative Instruction Following Challenge
ACM MM 2024
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Zhiqi Ge
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Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance
AAAI 2024
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Dong Chen
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De-fine: Decomposing and Refining Visual Programs with Auto-Feedback
ACM MM 2024
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Minghe Gao
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Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales
ACM MM 2024
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Minghe Gao
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Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
ICLR 2024
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Juncheng Li
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HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
CVPR 2024
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Qifan Yu
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Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning
ACL 2024
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Zeqi Tan
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Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning
ICML 2024
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Long Qian
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Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
EMNLP 2024
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Wenqi Zhang
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Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives
ACL 2024
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Wenqi Zhang
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T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
ACL 2024
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Aoxiong Yin
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TaskBench: Benchmarking Large Language Models for Task Automation
NeurIPS 2024
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Yongliang Shen
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Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering
EMNLP 2024
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Chang Zong
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WorldGPT: Empowering LLM as Multimodal World Model
ACM MM 2024
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Zhiqi Ge
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