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In-Context Learning

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Showing 1376–1400 of 2297 papers

TitleStatusHype
Sub-SA: Strengthen In-context Learning via Submodular Selective AnnotationCode0
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition—0
Retrieved In-Context Principles from Previous Mistakes—0
Empirical Study of Symmetrical Reasoning in Conversational Chatbots—0
FairPFN: Transformers Can do Counterfactual Fairness—0
Towards Automated Functional Equation Proving: A Benchmark Dataset and A Domain-Specific In-Context Agent—0
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning—0
Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platforms—0
RVISA: Reasoning and Verification for Implicit Sentiment Analysis—0
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts—0
SADL: An Effective In-Context Learning Method for Compositional Visual QA—0
Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questionsCode0
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining TasksCode0
Can Small Language Models Learn, Unlearn, and Retain Noise Patterns?Code0
Dynamic Universal Approximation Theory: The Basic Theory for Transformer-based Large Language Models—0
Dynamic Few-Shot Learning for Knowledge Graph Question Answering—0
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning—0
Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis—0
Mining Reasons For And Against Vaccination From Unstructured Data Using Nichesourcing and AI Data Augmentation—0
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language ModelsCode0
Aligning Teacher with Student Preferences for Tailored Training Data Generation—0
Can we teach language models to gloss endangered languages?—0
Efficient course recommendations with T5-based ranking and summarizationCode0
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI—0
Enhancing In-Context Learning via Implicit Demonstration Augmentation—0
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