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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

CoRAG: Collaborative Retrieval-Augmented Generation NAACL 2025
IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark for LLMs NAACL 2025
Prototype Tuning: A Meta-Learning Approach for Few-Shot Document-Level Relation Extraction with Large Language Models NAACL 2025
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design NAACL 2025
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning AAAI 2025
Exploring the Better Multimodal Synergy Strategy for Vision-Language Models AAAI 2025
Saama Technologies at SemEval-2025 Task 8: Few-shot prompting with LLM-generated examples for question answering on tabular data SEMEVAL 2025
LLM-based Business Process Models Generation from Textual Descriptions IJCNLP 2025
Flatness Improves Backbone Generalisation in Few-Shot Classification WACV 2025
WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning EMNLP 2025
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation AAAI 2025
Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Games EMNLP 2025
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM AAAI 2025
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks AAAI 2025
Surprise Calibration for Better In-Context Learning EMNLP 2025
One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency CVPR 2025
LVLMs are Bad at Overhearing Human Referential Communication EMNLP 2025
TORSO: Template-Oriented Reasoning Towards General Tasks EMNLP 2025
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation CVPR 2025
Making Large Vision Language Models to Be Good Few-Shot Learners AAAI 2025
Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration EMNLP 2025
Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques EMNLP 2025
Cropper: Vision-Language Model for Image Cropping through In-Context Learning CVPR 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models CVPR 2025
Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation AAAI 2025