in-context learning

Estimating the Hallucination Rate of Generative AI NeurIPS 2024 Evaluating Code-Switching Translation with Large Language Models COLING 2024 Evaluating In-Context Learning for Computational Literary Studies: A Case Study Based on the Automatic Recognition of Knowledge Transfer in German Drama EACL 2024 Evaluating In-Context Learning of Libraries for Code Generation NAACL 2024 Evaluating Step-by-Step Reasoning through Symbolic Verification NAACL 2024 Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs EMNLP 2024 Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers ICML 2024 ExpeL: LLM Agents Are Experiential Learners AAAI 2024 Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently EMNLP 2024 Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL 2024 EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning EMNLP 2024 Explore Spurious Correlations at the Concept Level in Language Models for Text Classification ACL 2024 Exploring and Mitigating Shortcut Learning for Generative Large Language Models COLING 2024 Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models NAACL 2024 Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks Interspeech 2024 Exploring Self-supervised Logic-enhanced Training for Large Language Models NAACL 2024 Exploring the Learning Capabilities of Language Models using LEVERWORLDS EMNLP 2024 Exploring the Relationship between In-Context Learning and Instruction Tuning EMNLP 2024 Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models EMNLP 2024 Extending Context Window of Large Language Models via Semantic Compression ACL 2024 Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods COLING 2024 FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis COLING 2024 FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024 Feature-Adaptive and Data-Scalable In-Context Learning ACL 2024 Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering EACL 2024