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In-Context Learning

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Showing 101–150 of 2297 papers

TitleStatusHype
LLoCO: Learning Long Contexts OfflineCode2
Overview of the PromptCBLUE Shared Task in CHIP2023Code2
LLMs in the Imaginarium: Tool Learning through Simulated Trial and ErrorCode2
Making Large Language Models Perform Better in Knowledge Graph CompletionCode2
CausalPFN: Amortized Causal Effect Estimation via In-Context LearningCode2
Differential TransformerCode2
A Controlled Study on Long Context Extension and Generalization in LLMsCode2
Linear Transformers with Learnable Kernel Functions are Better In-Context ModelsCode2
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table UnderstandingCode2
A Survey on In-context LearningCode2
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
Linearizing Large Language ModelsCode2
Small Language Models: Survey, Measurements, and InsightsCode2
Many-Shot In-Context Learning in Multimodal Foundation ModelsCode2
Language Model Crossover: Variation through Few-Shot PromptingCode2
KV Shifting Attention Enhances Language ModelingCode2
Knowledge Circuits in Pretrained TransformersCode2
TabDPT: Scaling Tabular Foundation ModelsCode2
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language ModelsCode2
Large Language Models are In-Context Molecule LearnersCode2
Just read twice: closing the recall gap for recurrent language modelsCode2
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsCode2
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary StudyCode2
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented GenerationCode2
In-Context Learning Unlocked for Diffusion ModelsCode2
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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