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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
GenEDA: Unleashing Generative Reasoning on Netlist via Multimodal Encoder-Decoder Aligned Foundation Model
Enhancing Arabic Automated Essay Scoring with Synthetic Data and Error Injection
Language-TPP: Integrating Temporal Point Processes with Language Models for Event Analysis
Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data
Stock Type Prediction Model Based on Hierarchical Graph Neural Network
Yeah, Un, Oh: Continuous and Real-time Backchannel Prediction with Fine-tuning of Voice Activity Projection
The X Types -- Mapping the Semantics of the Twitter Sphere
Transfer Learning for E-commerce Query Product Type Prediction
Uniting contrastive and generative learning for event sequences models
Detecting Side Effects of Adverse Drug Reactions Through Drug-Drug Interactions Using Graph Neural Networks and Self-Supervised Learning
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
Understanding How CodeLLMs (Mis)Predict Types with Activation Steering
CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
Learning Type Inference for Enhanced Dataflow Analysis
HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World
You Only Look at Screens: Multimodal Chain-of-Action Agents
AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations
Graph Encoding and Neural Network Approaches for Volleyball Analytics: From Game Outcome to Individual Play Predictions
Towards Semantically Enriched Embeddings for Knowledge Graph Completion
Type Prediction With Program Decomposition and Fill-in-the-Type Training
Extreme Classification for Answer Type Prediction in Question Answering
TypeT5: Seq2seq Type Inference using Static Analysis
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing
Leveraging Wikidata's edit history in knowledge graph refinement tasks
ManyTypes4TypeScript: A Comprehensive TypeScript Dataset for Sequence-Based Type Inference
VREN: Volleyball Rally Dataset with Expression Notation Language
Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP
Entity Type Prediction Leveraging Graph Walks and Entity Descriptions
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition
PhaTYP: Predicting the lifestyle for bacteriophages using BERT
Predicting Issue Types with seBERT
Beyond Duplicates: Towards Understanding and Predicting Link Types in Issue Tracking Systems
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