Zehui Chen
28 papers · 2022–2026 · 9 venues · across top CS/AI venues
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (60) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (21)
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large language model
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multimodal learning
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object detection
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benchmark evaluation
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knowledge distillation
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function calling
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continual learning
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hallucination mitigation
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domain adaptation
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instruction following
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3d object detection
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depth estimation
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large vision-language model
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lidar point cloud
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information retrieval
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semantic segmentation
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point cloud
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cross-modal learning
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vision-language model
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Papers
Beyond Accuracy: Unveiling Inefficiency Patterns in Tool-Integrated Reasoning
ACL 2026
Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models
ACL 2026
UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision
ACL 2026
CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
EMNLP 2025
Enhancing Large Vision-Language Models with Ultra-Detailed Image Caption Generation
EMNLP 2025
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding
AAAI 2025
MindSearch: Mimicking Human Minds Elicits Deep AI Searcher
ICLR 2025
MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines
ICLR 2025
PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection
ICLR 2025
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use
ACL 2025
VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping
AAAI 2025
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
EMNLP 2025
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
ACL 2024
Are We on the Right Way for Evaluating Large Vision-Language Models?
NeurIPS 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
CVPR 2024
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
AAAI 2024
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
AAAI 2024
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
NeurIPS 2024
Stream Query Denoising for Vectorized HD-Map Construction
ECCV 2024
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
ACL 2024
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
ICLR 2023
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families
ICCV 2023
Learning from Noisy Data for Semi-Supervised 3D Object Detection
ICCV 2023
Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View
CVPR 2023
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection
IJCAI 2022
Deformable Feature Aggregation for Dynamic Multi-modal 3D Object Detection
ECCV 2022
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations
AAAI 2022
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training
ECCV 2022