in-context learning

Supervised Knowledge Makes Large Language Models Better In-context Learners ICLR 2024 SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution ACL 2024 Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control ICLR 2024 Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems EMNLP 2024 Synergizing Large Language Models and Pre-Trained Smaller Models for Conversational Intent Discovery ACL 2024 SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking EACL 2024 Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment EMNLP 2024 Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning NAACL 2024 Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NeurIPS 2024 Teaching Large Language Models an Unseen Language on the Fly ACL 2024 Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4 SemEval 2024 The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NeurIPS 2024 The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning ICLR 2024 The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NeurIPS 2024 The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis ACL 2024 The mechanistic basis of data dependence and abrupt learning in an in-context classification task ICLR 2024 The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning EMNLP 2024 The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis EMNLP 2024 Theoretical Foundations of Deep Selective State-Space Models NeurIPS 2024 The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NeurIPS 2024 The SETU-ADAPT Submissions to the WMT24 Low-Resource Indic Language Translation Task EMNLP 2024 The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning ICLR 2024 The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL 2024 The unreasonable effectiveness of large language models for low-resource clause-level morphology: In-context generalization or prior exposure? NAACL 2024 The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation NAACL 2024