Few-Shot Learning
2,681 papers
Papers per year
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Papers
Learning to Move with Style: Few-Shot Cross-Modal Style Transfer for Creative Robot Motion Generation
NeurIPS 2025
Lemma Dilemma: On Lemma Generation Without Domain- or Language-Specific Training Data
EMNLP 2025
Leveraging Information Retrieval to Enhance Spoken Language Understanding Prompts in Few-Shot Learning
Interspeech 2025
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
AAAI 2025
Leveraging Text-to-Text Transformers as Classifier Chain for Few-Shot Multi-Label Classification
EMNLP 2025
Leveraging the Power of Large Language Models in Entity Linking via Adaptive Routing and Targeted Reasoning
EMNLP 2025
Leveraging Vision Language Models for Specialized Agricultural Tasks
WACV 2025
Linguistic Neuron Overlap Patterns to Facilitate Cross-lingual Transfer on Low-resource Languages
EMNLP 2025
LLM-based Business Process Models Generation from Textual Descriptions
IJCNLP 2025
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering
EMNLP 2025
LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots
COLING 2025
LLMs for Detection and Classification of Persuasion Techniques in Slavic Parliamentary Debates and Social Media Texts
ACL 2025
LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection
ACL 2025
LLMSR@XLLM25: Integrating Reasoning Prompt Strategies with Structural Prompt Formats for Enhanced Logical Inference
ACL 2025
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
ICML 2025
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
ICLR 2025
Logits DeConfusion with CLIP for Few-Shot Learning
CVPR 2025
Logos as a Well-Tempered Pre-train for Sign Language Recognition
EMNLP 2025
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
CVPR 2025
LVLMs are Bad at Overhearing Human Referential Communication
EMNLP 2025
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
AAAI 2025
Making Large Vision Language Models to Be Good Few-Shot Learners
AAAI 2025
Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning
AAAI 2025
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence
AAAI 2025
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
AAAI 2025