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In-Context Learning

Papers

Showing 17511775 of 2297 papers

TitleStatusHype
LLM for Everyone: Representing the Underrepresented in Large Language Models0
LLMIdxAdvis: Resource-Efficient Index Advisor Utilizing Large Language Model0
llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models0
LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression0
LLMs Are In-Context Bandit Reinforcement Learners0
LLMs as Data Annotators: How Close Are We to Human Performance0
LLMs for Domain Generation Algorithm Detection0
LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma0
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems0
Locally Differentially Private In-Context Learning0
LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning0
Long-range gene expression prediction with token alignment of large language model0
Look Before You Leap: Towards Decision-Aware and Generalizable Tool-Usage for Large Language Models0
Lost in the Passage: Passage-level In-context Learning Does Not Necessarily Need a "Passage"0
Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?0
Low-resource classification of mobility functioning information in clinical sentences using large language models0
Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions0
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data0
Make a Choice! Knowledge Base Question Answering with In-Context Learning0
Intermediate Languages Matter: Formal Choice Drives Neurosymbolic LLM Reasoning0
Making Text Embedders Few-Shot Learners0
MaLA-500: Massive Language Adaptation of Large Language Models0
MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation0
Mamba State-Space Models Are Lyapunov-Stable Learners0
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning0
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