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In-Context Learning

Papers

Showing 5175 of 2297 papers

TitleStatusHype
Scaling Diffusion Language Models via Adaptation from Autoregressive ModelsCode3
Revisiting VerilogEval: A Year of Improvements in Large-Language Models for Hardware Code GenerationCode3
QuRating: Selecting High-Quality Data for Training Language ModelsCode3
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionCode3
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language ModelsCode3
PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware MaskCode3
AutoTimes: Autoregressive Time Series Forecasters via Large Language ModelsCode3
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with TextCode3
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary StudyCode2
A Survey on In-context LearningCode2
Language Model Crossover: Variation through Few-Shot PromptingCode2
Knowledge Circuits in Pretrained TransformersCode2
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph CompletionCode2
KV Shifting Attention Enhances Language ModelingCode2
Just read twice: closing the recall gap for recurrent language modelsCode2
JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMsCode2
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language ModelsCode2
Large Language Models are In-Context Molecule LearnersCode2
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
Improving CLIP Training with Language RewritesCode2
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackCode2
A Simple Image Segmentation Framework via In-Context ExamplesCode2
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