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Papers
A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions
ACL 2026
FailureAtlas: Mapping the Failure Landscape of T2I Models via Active Exploration
CVPR 2026
RDFace: A Benchmark Dataset for Rare Disease Facial Image Analysis under Extreme Data Scarcity and Phenotype-Aware Synthetic Generation
CVPR 2026
RSDA: Restoring Stale Data Affinity via Dynamic Renovation Strategy for Mitigating Data Scarcity
ACL 2026
The African Languages Lab: A Collaborative Approach to Advancing Low-Resource African NLP
ACL 2026
AndroidGen: Building an Android Language Agent under Data Scarcity
ACL 2025
Automatic Speech Recognition for African Low-Resource Languages: Challenges and Future Directions
ACL 2025
Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning
IJCAI 2025
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
AAAI 2025
Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarcity
ACL 2025
FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization
AAAI 2025
Machine Learning with Scarce Data: Ejection Fraction Prediction Using PLAX View
MIDL 2025
Overcoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning
Interspeech 2025
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression Under Indirect Supervision
IJCAI 2025
Dealing with Data Scarcity in Spoken Question Answering
COLING 2024
Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding
IJCAI 2024
Learning Cross-Architecture Instruction Embeddings for Binary Code Analysis in Low-Resource Architectures
NAACL 2024
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
ICLR 2024
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
ICML 2024
Co-evolving data-driven and NLU-driven Synthesizers for Generating Code in Domain Growth and Data Scarcity
EMNLP 2023
Efficient Dynamic Batch Adaptation (Student Abstract)
AAAI 2023
Enhancing Extreme Multi-Label Text Classification: Addressing Challenges in Model, Data, and Evaluation
EMNLP 2023
Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization
Interspeech 2023
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination
CVPR 2022
Event Causality Identification via Derivative Prompt Joint Learning
COLING 2022