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In-Context Learning

Papers

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TitleStatusHype
How Aligned are Generative Models to Humans in High-Stakes Decision-Making?0
How Does In-Context Learning Help Prompt Tuning?0
Breaking through the learning plateaus of in-context learning in Transformer0
How Do In-Context Examples Affect Compositional Generalization?0
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations0
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment0
How Good are Commercial Large Language Models on African Languages?0
How good are Large Language Models on African Languages?0
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When0
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?0
How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations?0
How Private is Your Attention? Bridging Privacy with In-Context Learning0
How Robust are LLMs to In-Context Majority Label Bias?0
How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?0
How Transformers Get Rich: Approximation and Dynamics Analysis0
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression0
How well can LLMs Grade Essays in Arabic?0
How Well Can Transformers Emulate In-context Newton's Method?0
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering0
Human-Instruction-Free LLM Self-Alignment with Limited Samples0
Human-Timescale Adaptation in an Open-Ended Task Space0
Hybrid Agents for Image Restoration0
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models0
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought0
ICLERB: In-Context Learning Embedding and Reranker Benchmark0
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