Dong Shu
9 papers · 2024–2026 · 4 venues · across top CS/AI venues
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird ⚡ Prolific Year · Productive
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Artificial Intelligence
(9)
Core AI
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Deep Learning
(5)
Machine Learning
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Learning Types · Machine Learning
(2)
Models
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Domain-Specific
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Learning Types · Deep Learning
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Optimization & Theory
(1)
Keywords
large language model
(5)
sparse autoencoder
(3)
feature extraction
(2)
benchmark evaluation
(1)
prompt engineering
(1)
chain-of-thought reasoning
(1)
in-context learning
(1)
visual representation
(1)
instruction following
(1)
neural network analysis
(1)
feature disentanglement
(1)
computational efficiency
(1)
class imbalance
(1)
model alignment
(1)
language model
(1)
knowledge graph
(1)
vision-language model
(1)
mechanistic interpretability
(1)
multimodal learning
(1)
link prediction
(1)
Papers
FinCall-Surprise: A Large Scale Multi-modal Benchmark for Earning Surprise Prediction
ACL 2026
FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models
ACL 2026
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
EMNLP 2025
Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders
EMNLP 2025
Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract)
AAAI 2025
Improving LLM Reasoning through Interpretable Role-Playing Steering
EMNLP 2025
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
EMNLP 2025
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
ACML 2024
The Impact of Reasoning Step Length on Large Language Models
ACL 2024