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In-Context Learning

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TitleStatusHype
Neural Machine Translation Models Can Learn to be Few-shot Learners—0
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing—0
Ambiguity-Aware In-Context Learning with Large Language Models—0
Speech-to-Speech Translation with Discrete-Unit-Based Style Transfer—0
CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data GenerationCode0
Can Whisper perform speech-based in-context learning?—0
Breaking through the learning plateaus of in-context learning in Transformer—0
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language ModelCode0
Textbooks Are All You Need II: phi-1.5 technical report—0
Uncovering mesa-optimization algorithms in Transformers—0
MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images—0
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning—0
EPA: Easy Prompt Augmentation on Large Language Models via Multiple Sources and Multiple Targets—0
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty—0
Gender-specific Machine Translation with Large Language Models—0
Gated recurrent neural networks discover attention—0
Business Process Text Sketch Automation Generation Using Large Language Model—0
Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance—0
Identifying and Mitigating the Security Risks of Generative AI—0
Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs—0
Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models—0
Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment AnalysisCode0
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models—0
HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language UnderstandingCode0
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful MemesCode0
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