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In-Context Learning

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Showing 126–150 of 2297 papers

TitleStatusHype
VL-ICL Bench: The Devil in the Details of Multimodal In-Context LearningCode2
In-Context Language Learning: Architectures and AlgorithmsCode2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph CompletionCode2
LayoutPrompter: Awaken the Design Ability of Large Language ModelsCode2
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide ResolutionCode2
Grimoire is All You Need for Enhancing Large Language ModelsCode2
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric LearningCode2
Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL GenerationCode2
Generative Pre-trained Speech Language Model with Efficient Hierarchical TransformerCode2
A Simple Image Segmentation Framework via In-Context ExamplesCode2
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical InformationCode2
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Dataset Augmented by ChatGPTCode2
Improving CLIP Training with Language RewritesCode2
Grounding Language Models to Images for Multimodal Inputs and OutputsCode2
Black-Box Tuning for Language-Model-as-a-ServiceCode2
Finding Transformer Circuits with Edge PruningCode2
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic PredictionCode2
In-Context Editing: Learning Knowledge from Self-Induced DistributionsCode2
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and RoadmapCode2
ExpertPrompting: Instructing Large Language Models to be Distinguished ExpertsCode2
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context ReasoningCode2
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data ScarcityCode2
JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMsCode2
LLMs as Hackers: Autonomous Linux Privilege Escalation AttacksCode2
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