In-Context Learning
387 papers
Papers per year
1
3
17
84
135
111
36
'25
Papers
Spoken Language Understanding on Unseen Tasks With In-Context Learning
Interspeech 2025
Stable Diffusion Models are Secretly Good at Visual In-Context Learning
ICCV 2025
SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization
CVPR 2025
TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration
EMNLP 2025
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning
EMNLP 2025
The Role of Deductive and Inductive Reasoning in Large Language Models
ACL 2025
TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research Agents
EMNLP 2025
TokenShapley: Token Level Context Attribution with Shapley Value
ACL 2025
Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models
EMNLP 2025
Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
ICLR 2025
Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach
AAAI 2025
uMedSum: A Unified Framework for Clinical Abstractive Summarization
ACL 2025
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu
ACL 2025
UniICL: An Efficient ICL Framework Unifying Compression, Selection, and Generation
ACL 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
AAAI 2025
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
ACL 2025
Using Large Language Models to Perform MIPVU-Inspired Automatic Metaphor Detection
ACL 2025
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding
CVPR 2025
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
ACL 2025
When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning
NAACL 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning
EMNLP 2025
Z1: Efficient Test-time Scaling with Code
EMNLP 2025
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
NeurIPS 2024
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
ACL 2024
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
EMNLP 2024