In-Context Learning

DS-Group at SIGHAN-2024 dimABSA Task: Constructing In-context Learning Structure for Dimensional Aspect-Based Sentiment Analysis ACL 2024 Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024 EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization NeurIPS 2024 Eliciting Better Multilingual Structured Reasoning from LLMs through Code ACL 2024 Empowering Multi-step Reasoning across Languages via Program-Aided Language Models EMNLP 2024 Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs EACL 2024 Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NeurIPS 2024 Enhancing In-context Learning via Linear Probe Calibration AISTATS 2024 EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NeurIPS 2024 Estimating the Hallucination Rate of Generative AI NeurIPS 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 EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning EMNLP 2024 Fast Best-of-N Decoding via Speculative Rejection NeurIPS 2024 Focused Large Language Models are Stable Many-Shot Learners EMNLP 2024 From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When NeurIPS 2024 Generative Multimodal Models are In-Context Learners CVPR 2024 GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models EMNLP 2024 HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation NAACL 2024 How Can Client Motivational Language Inform Psychotherapy Agents? EACL 2024 How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning? EMNLP 2024 How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning EMNLP 2024 How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment EMNLP 2024 Identifying Semantic Induction Heads to Understand In-Context Learning ACL 2024 Improving In-Context Learning with Prediction Feedback for Sentiment Analysis ACL 2024 Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction COLING 2024