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In-Context Learning

Papers

Showing 876900 of 2297 papers

TitleStatusHype
Inference and Verbalization Functions During In-Context LearningCode0
Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational ReasoningCode0
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for DialogueCode0
Iterative Forward Tuning Boosts In-Context Learning in Language ModelsCode0
Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal ReasoningCode0
In-Context Principle Learning from MistakesCode0
In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax AttentionCode0
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar TasksCode0
Can Frontier LLMs Replace Annotators in Biomedical Text Mining? Analyzing Challenges and Exploring SolutionsCode0
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual GeneralizationCode0
In-Context Learning with Hypothesis-Class GuidanceCode0
Can Custom Models Learn In-Context? An Exploration of Hybrid Architecture Performance on In-Context Learning TasksCode0
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and ImprovementsCode0
In-context Learning in Presence of Spurious CorrelationsCode0
HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype DetectionCode0
In-Context Learning through the Bayesian PrismCode0
In-context Learning Generalizes, But Not Always Robustly: The Case of SyntaxCode0
Can a Large Language Model Learn Matrix Functions In Context?Code0
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge GraphsCode0
In-Context Learning Improves Compositional Understanding of Vision-Language ModelsCode0
Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts?Code0
In-Context Learning Functions with Varying Number of MinimaCode0
In-Context Learning Learns Label Relationships but Is Not Conventional LearningCode0
Bayes' Power for Explaining In-Context Learning GeneralizationsCode0
Inductive-bias Learning: Generating Code Models with Large Language ModelCode0
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