few-shot learning

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability ACL 2025 Reasoning or Memorization? Investigating LLMs’ Capability in Restoring Chinese Internet Homophones ACL 2025 REIC: RAG-Enhanced Intent Classification at Scale EMNLP 2025 Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer ICLR 2025 RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples EMNLP 2025 ReMP-AD: Retrieval-enhanced Multi-modal Prompt Fusion for Few-Shot Industrial Visual Anomaly Detection ICCV 2025 REPA: Russian Error Types Annotation for Evaluating Text Generation and Judgment Capabilities ACL 2025 Reproducible Vision-Language Models Meet Concepts Out of Pre-Training CVPR 2025 Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms ACL 2025 Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting ICCV 2025 Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025 Retrieval-Augmented Generation for Large Language Model based Few-shot Chinese Spell Checking COLING 2025 Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning AAAI 2025 Retriv at BLP-2025 Task 2: Test-Driven Feedback-Guided Framework for Bangla-to-Python Code Generation AACL 2025 Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection EMNLP 2025 Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot EMNLP 2025 Revisiting Implicitly Abusive Language Detection: Evaluating LLMs in Zero-Shot and Few-Shot Settings COLING 2025 Revisiting In-Context Learning with Long Context Language Models ACL 2025 Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective AAAI 2025 Revisiting Neural Networks for Few-Shot Learning: A Zero-Cost NAS Perspective ICML 2025 Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning ICCV 2025 RI3D: Few-Shot Gaussian Splatting With Repair and Inpainting Diffusion Priors ICCV 2025 Riemannian Geometric-based Meta Learning AAAI 2025 RISCORE: Enhancing In-Context Riddle Solving in Language Models through Context-Reconstructed Example Augmentation COLING 2025 Robotic Visual Instruction CVPR 2025