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conftrace_

few-shot learning

3,578 papers

FSL FEWSHOT FEW-SHOT

Papers

Leveraging Vision Language Models for Specialized Agricultural Tasks WACV 2025 LIMICS at ArchEHR-QA 2025: Prompting LLMs Beats Fine-Tuned Embeddings ACL 2025 Literature Meets Data: A Synergistic Approach to Hypothesis Generation ACL 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-Driven Implicit Target Augmentation and Fine-Grained Contextual Modeling for Zero-Shot and Few-Shot Stance Detection EMNLP 2025 LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation 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 LLMSR@XLLM25: Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation ACL 2025 LMU at PerAnsSumm 2025: LlaMA-in-the-loop at Perspective-Aware Healthcare Answer Summarization Task 2.2 Factuality NAACL 2025 Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection ICLR 2025 Local Prompt Optimization NAACL 2025 Logical DA: Enhancing Data Augmentation for Logical Reasoning via a Multi-Agent System ACL 2025 LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions ACL 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 MAFMO: Multi-modal Adaptive Fusion with Meta-template Optimization for Vision-Language Models EMNLP 2025 Making Large Vision Language Models to Be Good Few-Shot Learners AAAI 2025 Making Text Embedders Few-Shot Learners ICLR 2025 Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning AAAI 2025 Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images ICLR 2025 Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence AAAI 2025