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In-Context Learning
419 directly classified papers
Papers per year
2008: 1
2020: 3
2022: 22
2023: 90
2024: 142
2025: 160
2026: 1
Papers
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
NIPS 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
NIPS 2024
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
NIPS 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers
NIPS 2024
Mixture of Demonstrations for In-Context Learning
NIPS 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
NIPS 2024
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
NIPS 2024
Can Large Language Models Understand Context?
EACL 2024
How Can Client Motivational Language Inform Psychotherapy Agents?
EACL 2024
Enhancing In-context Learning via Linear Probe Calibration
AISTATS 2024
Instruct Me More! Random Prompting for Visual In-Context Learning
WACV 2024
Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
COLING 2024
Locally Differentially Private In-Context Learning
COLING 2024
MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models
COLING 2024
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation
NAACL 2024
JSI and WüNLP at the DIALECT-COPA Shared Task: In-Context Learning From Just a Few Dialectal Examples Gets You Quite Far
NAACL 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
IJCAI 2024
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
IJCAI 2024
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
ACL 2024
Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning
ACL 2024
In-context Mixing (ICM): Code-mixed Prompts for Multilingual LLMs
ACL 2024
QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction
ACL 2024
Eliciting Better Multilingual Structured Reasoning from LLMs through Code
ACL 2024
NICE: To Optimize In-Context Examples or Not?
ACL 2024
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?
ACL 2024
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