Shaobo Wang
11 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
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Machine Learning
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Optimization & Theory · Machine Learning
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Learning Types · Machine Learning
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Optimization & Theory · Deep Learning
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characteristic function
(2)
token pruning
(2)
multimodal large language model
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distribution matching
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multimodal learning
(2)
in-context learning
(1)
knowledge distillation
(1)
coreset selection
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computational efficiency
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efficient inference
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synthetic data generation
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parameter efficient
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attention mechanism
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feature space
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deep neural network
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geometric reasoning
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information extraction
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model training
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data selection
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preference learning
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Papers
FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure
ACL 2026
ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation
AAAI 2026
Socratic-Geo: Synthetic Data Generation and Cross-Modal Geometric Reasoning via Multi-Agent Interaction
CVPR 2026
Stability Implies Redundancy: Delta Attention Selective Halting for Efficient Long-Context Prefilling
ACL 2026
UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective
AAAI 2026
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
CVPR 2025
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
ACL 2025
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
ICLR 2025
Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters More
EMNLP 2025
Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-v2)
ECCV 2024
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
NeurIPS 2021