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In-Context Learning

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TitleStatusHype
RecallM: An Adaptable Memory Mechanism with Temporal Understanding for Large Language ModelsCode0
Scaling In-Context Demonstrations with Structured Attention—0
In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick—0
Diverse Retrieval-Augmented In-Context Learning for Dialogue State TrackingCode0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking—0
InstructEval: Systematic Evaluation of Instruction Selection Methods—0
SummQA at MEDIQA-Chat 2023:In-Context Learning with GPT-4 for Medical SummarizationCode0
Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language ModelsCode0
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs—0
GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language ModelsCode0
DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios—0
Supervised Pretraining Can Learn In-Context Reinforcement Learning—0
Understanding In-Context Learning via Supportive Pretraining Data—0
Automatic text-based speech overlap classification: A novel approach using Large Language Models—0
Voicebox: Text-Guided Multilingual Universal Speech Generation at ScaleCode0
Potential Benefits of Employing Large Language Models in Research in Moral Education and Development—0
A Survey on Multimodal Large Language Models—0
FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair—0
A GPT-4 Reticular Chemist for Guiding MOF DiscoveryCode0
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving—0
Multilingual Few-Shot Learning via Language Model Retrieval—0
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design—0
Trained Transformers Learn Linear Models In-Context—0
Language to Rewards for Robotic Skill Synthesis—0
Augmenting Language Models with Long-Term Memory—0
Measuring and Modifying Factual Knowledge in Large Language ModelsCode0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
In-Context Learning through the Bayesian PrismCode0
STEPS: A Benchmark for Order Reasoning in Sequential Tasks—0
Prompt Space Optimizing Few-shot Reasoning Success with Large Language ModelsCode0
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language ModelsCode0
Zero-Shot 3D Shape Correspondence—0
ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?—0
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models—0
Multi-Dimensional Evaluation of Text Summarization with In-Context LearningCode0
Measuring the Robustness of NLP Models to Domain ShiftsCode0
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context LearningCode0
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization—0
In-Context Analogical Reasoning with Pre-Trained Language ModelsCode0
Augmenting Large Language Model Translators via Translation Memories—0
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks—0
Large Language Models Are Partially Primed in Pronoun InterpretationCode0
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning—0
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)—0
Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance—0
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer—0
OverPrompt: Enhancing ChatGPT through Efficient In-Context LearningCode0
EXnet: Efficient In-context Learning for Data-less Text classification—0
Self-ICL: Zero-Shot In-Context Learning with Self-Generated DemonstrationsCode0
Universal Self-Adaptive Prompting—0
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