Co-occurring keywords · papers mentioning both
Papers
PICASSO: A Feed-Forward Framework for Parametric Inference of CAD Sketches via Rendering Self-Supervision
WACV 2025
PICD-Instruct: A Generative Instruction Learning Framework for Few-Shot Multi-Intent Spoken Language Understanding
EMNLP 2025
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
WACV 2025
PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech
EMNLP 2025
Position: Don’t Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints
ICML 2025
Position Really Matters: Towards a Holistic Approach for Prompt Tuning
NAACL 2025
Predicate Hierarchies Improve Few-Shot State Classification
ICLR 2025
ProAPO: Progressively Automatic Prompt Optimization for Visual Classification
CVPR 2025
Probing the Limits of Multilingual Language Understanding: Low-Resource Language Proverbs as LLM Benchmark for AI Wisdom
EMNLP 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
CVPR 2025
PromptGuard at BLP-2025 Task 1: A Few-Shot Classification Framework Using Majority Voting and Keyword Similarity for Bengali Hate Speech Detection
AACL 2025
Prompt-Guided Augmentation and Multi-modal Fusion for Argumentative Fallacy Classification in Political Debates
ACL 2025
Prompting LLMs: Length Control for Isometric Machine Translation
ACL 2025
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from related Example Banks
NAACL 2025
Prompt Tuning In a Compact Attribute Space
AAAI 2025
Prototype antithesis for biological few-shot class-incremental learning
ICLR 2025
Prototype Tuning: A Meta-Learning Approach for Few-Shot Document-Level Relation Extraction with Large Language Models
NAACL 2025
Provably Improving Generalization of Few-shot models with Synthetic Data
ICML 2025
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
CVPR 2025
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
AAAI 2025
PUER: Boosting Few-shot Positive-Unlabeled Entity Resolution with Reinforcement Learning
EMNLP 2025
PyBangla at BLP-2025 Task 2: Enhancing Bangla-to-Python Code Generation with Iterative Self-Correction and Multilingual Agents
AACL 2025
Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms
AAAI 2025
Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering
ICLR 2025
Rapid Word Learning Through Meta In-Context Learning
EMNLP 2025