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In-Context Learning

Papers

Showing 151200 of 2297 papers

TitleStatusHype
A Survey on In-context LearningCode2
Transformers learn in-context by gradient descentCode2
Visual Programming: Compositional visual reasoning without trainingCode2
What Can Transformers Learn In-Context? A Case Study of Simple Function ClassesCode2
Black-Box Tuning for Language-Model-as-a-ServiceCode2
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained TransformersCode2
Evolving Prompts In-Context: An Open-ended, Self-replicating PerspectiveCode1
PRO-V: An Efficient Program Generation Multi-Agent System for Automatic RTL VerificationCode1
On Finetuning Tabular Foundation ModelsCode1
Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and FindingsCode1
Label-Guided In-Context Learning for Named Entity RecognitionCode1
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval AugmentationCode1
Reasoning Models Better Express Their ConfidenceCode1
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context LearningCode1
Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RECode1
PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context OptimizationCode1
Measuring General Intelligence with Generated GamesCode1
LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household RoboticsCode1
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
E-InMeMo: Enhanced Prompting for Visual In-Context LearningCode1
Mimic In-Context Learning for Multimodal TasksCode1
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-MixingCode1
Large (Vision) Language Models are Unsupervised In-Context LearnersCode1
Test-Time Visual In-Context TuningCode1
VPO: Aligning Text-to-Video Generation Models with Prompt OptimizationCode1
LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition LanguageCode1
JuDGE: Benchmarking Judgment Document Generation for Chinese Legal SystemCode1
ExDDV: A New Dataset for Explainable Deepfake Detection in VideoCode1
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse AttentionCode1
Strategy Coopetition Explains the Emergence and Transience of In-Context LearningCode1
Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type AnnotationCode1
Self-Training Elicits Concise Reasoning in Large Language ModelsCode1
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
Multi-Perspective Data Augmentation for Few-shot Object DetectionCode1
Code Summarization Beyond Function LevelCode1
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context DemonstrationsCode1
PEARL: Towards Permutation-Resilient LLMsCode1
Which Attention Heads Matter for In-Context Learning?Code1
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme DetectionCode1
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on ManchuCode1
BASE-SQL: A powerful open source Text-To-SQL baseline approachCode1
OntoTune: Ontology-Driven Self-training for Aligning Large Language ModelsCode1
LLM-Supported Natural Language to Bash TranslationCode1
Enhancing Reasoning to Adapt Large Language Models for Domain-Specific ApplicationsCode1
Transformers Boost the Performance of Decision Trees on Tabular Data across Sample SizesCode1
Can Transformers Learn Full Bayesian Inference in Context?Code1
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language ModelCode1
A Study of In-Context-Learning-Based Text-to-SQL ErrorsCode1
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoningCode1
ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot LearningCode1
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