conftrace_
← Keywords

few-shot learning

3398 papers

Explore in graph

Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

Improving LLM-based KGQA for multi-hop Question Answering with implicit reasoning in few-shot examples ACL 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors IJCAI 2024
Language Models Don’t Learn the Physical Manifestation of Language ACL 2024
Designing Informative Metrics for Few-Shot Example Selection ACL 2024
Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction EACL 2024
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition ACL 2024
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction EACL 2024
Empowering Large Language Models for Textual Data Augmentation ACL 2024
Evaluating ChatGPT’s Ability to Detect Hate Speech in Turkish Tweets EACL 2024
Extracting and Summarizing Evidence of Suicidal Ideation in Social Media Contents Using Large Language Models EACL 2024
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification IJCAI 2024
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction IJCAI 2024
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress? EMNLP 2024
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data EMNLP 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024
On the In-context Generation of Language Models EMNLP 2024
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning EMNLP 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning NAACL 2024
POSIX: A Prompt Sensitivity Index For Large Language Models EMNLP 2024
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning EMNLP 2024
Offensiveness, Hate, Emotion and GPT: Benchmarking GPT3.5 and GPT4 as Classifiers on Twitter-specific Datasets COLING 2024
GOLEM: GOld Standard for Learning and Evaluation of Motifs COLING 2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics EMNLP 2024