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In-Context Learning

Papers

Showing 101125 of 2297 papers

TitleStatusHype
In-Context Language Learning: Architectures and AlgorithmsCode2
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA CompositionCode2
CausalPFN: Amortized Causal Effect Estimation via In-Context LearningCode2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
A Controlled Study on Long Context Extension and Generalization in LLMsCode2
Memory MosaicsCode2
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackCode2
A Survey on In-context LearningCode2
Improving CLIP Training with Language RewritesCode2
NeoBERT: A Next-Generation BERTCode2
In-Context Editing: Learning Knowledge from Self-Induced DistributionsCode2
Large Language Models are In-Context Molecule LearnersCode2
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language ModelsCode2
OpenICL: An Open-Source Framework for In-context LearningCode2
Grimoire is All You Need for Enhancing Large Language ModelsCode2
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Dataset Augmented by ChatGPTCode2
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference TimeCode2
PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistencyCode2
Grounding Language Models to Images for Multimodal Inputs and OutputsCode2
A Simple Image Segmentation Framework via In-Context ExamplesCode2
Generative Pre-trained Speech Language Model with Efficient Hierarchical TransformerCode2
Differential TransformerCode2
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric LearningCode2
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical InformationCode2
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic PredictionCode2
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