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In-Context Learning

357 papers

Papers per year

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Papers

Images Speak in Images: A Generalist Painter for In-Context Visual Learning CVPR 2023
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning EMNLP 2023
Symbol tuning improves in-context learning in language models EMNLP 2023
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning EMNLP 2023
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations EMNLP 2023
Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task EMNLP 2023
POE: Process of Elimination for Multiple Choice Reasoning EMNLP 2023
DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models EMNLP 2023
Can We Edit Factual Knowledge by In-Context Learning? EMNLP 2023
Symbolization, Prompt, and Classification: A Framework for Implicit Speaker Identification in Novels EMNLP 2023
ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought EMNLP 2023
2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition EMNLP 2023
Active Learning Principles for In-Context Learning with Large Language Models EMNLP 2023
Finding Support Examples for In-Context Learning EMNLP 2023
Revisiting Large Language Models as Zero-shot Relation Extractors EMNLP 2023
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing EMNLP 2023
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation EMNLP 2023
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion EMNLP 2023
In-Context Learning Creates Task Vectors EMNLP 2023
Exploring In-Context Learning for Knowledge Grounded Dialog Generation EMNLP 2023
Demystifying Prompts in Language Models via Perplexity Estimation EMNLP 2023
Hierarchical Prompting Assists Large Language Model on Web Navigation EMNLP 2023
Robustness of Named-Entity Replacements for In-Context Learning EMNLP 2023
How Many Demonstrations Do You Need for In-context Learning? EMNLP 2023
Using In-Context Learning to Improve Dialogue Safety EMNLP 2023