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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection NIPS 2024
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI AAAI 2024
DeakinNLP at BioLaySumm: Evaluating Fine-tuning Longformer and GPT-4 Prompting for Biomedical Lay Summarization ACL 2024
Learning Spatial Similarity Distribution for Few-shot Object Counting IJCAI 2024
HyperMR: Hyperbolic Hypergraph Multi-hop Reasoning for Knowledge-based Visual Question Answering COLING 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024
Visual In-Context Learning for Large Vision-Language Models ACL 2024
Designing Informative Metrics for Few-Shot Example Selection ACL 2024
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models AAAI 2024
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024
LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English EMNLP 2024
Pushing the Limits of Low-Resource NER Using LLM Artificial Data Generation ACL 2024
With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models EMNLP 2024
Teaching Large Language Models an Unseen Language on the Fly ACL 2024
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning AAAI 2024
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems EMNLP 2024
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark NIPS 2024
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning EMNLP 2024
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification SEMEVAL 2024
LaViP: Language-Grounded Visual Prompting AAAI 2024
On the In-context Generation of Language Models EMNLP 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024
SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 2024
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data EMNLP 2024
Latent Learningscape Guided In-context Learning ACL 2024