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Papers
KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction
NAACL 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
NAACL 2024
K-QA: A Real-World Medical Q&A Benchmark
ACL 2024
Language Modeling Is Compression
ICLR 2024
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks
ACL 2024
Language Models for Text Classification: Is In-Context Learning Enough?
COLING 2024
Language-to-Code Translation with a Single Labeled Example
EMNLP 2024
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification
EMNLP 2024
Large Language Model Recall Uncertainty is Modulated by the Fan Effect
CoNLL 2024
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
ICML 2024
Large Vision-Language Models as Emotion Recognizers in Context Awareness
ACML 2024
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
EMNLP 2024
Latent Learningscape Guided In-context Learning
ACL 2024
Learning-From-Mistakes Prompting for Indigenous Language Translation
ACL 2024
Learning Personalized Alignment for Evaluating Open-ended Text Generation
EMNLP 2024
Learning Task Decomposition to Assist Humans in Competitive Programming
ACL 2024
Learning to Adapt Large Language Models to One-Shot In-Context Intent Classification on Unseen Domains
EMNLP 2024
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
NeurIPS 2024
Learning to Plan by Updating Natural Language
EMNLP 2024
Learning to Retrieve In-Context Examples for Large Language Models
EACL 2024
Learning to Retrieve Iteratively for In-Context Learning
EMNLP 2024
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding
EMNLP 2024
Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learning
EMNLP 2024
Leveraging Code to Improve In-Context Learning for Semantic Parsing
NAACL 2024
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
NeurIPS 2024