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Zero-Shot Learning

3043 directly classified papers

Papers per year

Papers

Transformer verbatim in-context retrieval across time and scale EMNLP 2024
Zero-Shot Learning and Key Points Are All You Need for Automated Fact-Checking EMNLP 2024
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval EMNLP 2024
Generalization Measures for Zero-Shot Cross-Lingual Transfer EMNLP 2024
The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal EMNLP 2024
Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin EMNLP 2024
Cross-Dialectal Transfer and Zero-Shot Learning for Armenian Varieties: A Comparative Analysis of RNNs, Transformers and LLMs EMNLP 2024
Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking across Diverse Vocabularies EMNLP 2024
How Are Metaphors Processed by Language Models? The Case of Analogies EMNLP 2024
Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations EMNLP 2024
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness EMNLP 2024
Cross-Domain Audio Deepfake Detection: Dataset and Analysis EMNLP 2024
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification EMNLP 2024
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia EMNLP 2024
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP 2024
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions EMNLP 2024
Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition EMNLP 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings NIPS 2024
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning NIPS 2024
Zero-Shot Tokenizer Transfer NIPS 2024
Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection NIPS 2024
DeiSAM: Segment Anything with Deictic Prompting NIPS 2024
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models NIPS 2024
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark NIPS 2024
Exploiting CLIP for Zero-Shot HOI Detection Requires Knowledge Distillation at Multiple Levels WACV 2024