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In-Context Learning

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TitleStatusHype
Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Multi-modal Text RecognitionCode2
Linearizing Large Language ModelsCode2
Large Language Models are In-Context Molecule LearnersCode2
Adapting Language Models to Compress ContextsCode2
LayoutPrompter: Awaken the Design Ability of Large Language ModelsCode2
LLMs in the Imaginarium: Tool Learning through Simulated Trial and ErrorCode2
Making Large Language Models Perform Better in Knowledge Graph CompletionCode2
NoteLLM-2: Multimodal Large Representation Models for RecommendationCode2
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph CompletionCode2
JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMsCode2
Knowledge Circuits in Pretrained TransformersCode2
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data ScarcityCode2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
In-Context Language Learning: Architectures and AlgorithmsCode2
In-Context Learning Unlocked for Diffusion ModelsCode2
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with TransformersCode2
KV Shifting Attention Enhances Language ModelingCode2
Just read twice: closing the recall gap for recurrent language modelsCode2
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide ResolutionCode2
Improving CLIP Training with Language RewritesCode2
ConTextTab: A Semantics-Aware Tabular In-Context LearnerCode2
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric LearningCode2
Black-Box Tuning for Language-Model-as-a-ServiceCode2
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackCode2
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Dataset Augmented by ChatGPTCode2
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