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In-Context Learning

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TitleStatusHype
Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective TasksCode0
Seek and Solve Reasoning for Table Question Answering—0
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers—0
Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD PromptsCode0
MILE: A Mutation Testing Framework of In-Context Learning SystemsCode0
Context is the Key: Backdoor Attacks for In-Context Learning with Vision Transformers—0
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMsCode0
Visual Prompting in Multimodal Large Language Models: A Survey—0
The representation landscape of few-shot learning and fine-tuning in large language modelsCode0
CACER: Clinical Concept Annotations for Cancer Events and RelationsCode0
Efficient LLM Context Distillation—0
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs—0
How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?Code0
Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition—0
Membership Inference Attacks Against In-Context Learning—0
PoliPrompt: A High-Performance Cost-Effective LLM-Based Text Classification Framework for Political Science—0
AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning—0
DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving—0
Self-Alignment: Improving Alignment of Cultural Values in LLMs via In-Context LearningCode0
Atari-GPT: Benchmarking Multimodal Large Language Models as Low-Level Policies in Atari Games—0
Harnessing the Intrinsic Knowledge of Pretrained Language Models for Challenging Text Classification Settings—0
Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning—0
Epidemic Information Extraction for Event-Based Surveillance using Large Language Models—0
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues—0
Focused Large Language Models are Stable Many-Shot Learners—0
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