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In-Context Learning

Papers

Showing 13011325 of 2297 papers

TitleStatusHype
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning0
LawLLM: Law Large Language Model for the US Legal System0
Distributed In-Context Learning under Non-IID Among Clients0
Intermittent Semi-working Mask: A New Masking Paradigm for LLMs0
NOLO: Navigate Only Look Once0
Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages0
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process0
Spin glass model of in-context learning0
OneLove beyond the field -- A few-shot pipeline for topic and sentiment analysis during the FIFA World Cup in Qatar0
Hide and Seek: Fingerprinting Large Language Models with Evolutionary Learning0
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion0
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts0
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning0
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs0
Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds0
Relational reasoning and inductive bias in transformers trained on a transitive inference task0
Transformers Meet In-Context Learning: A Universal Approximation Theory0
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods0
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree0
A Closer Look at TabPFN v2: Strength, Limitation, and Extension0
A Comparative Analysis of Fine-Tuned LLMs and Few-Shot Learning of LLMs for Financial Sentiment Analysis0
A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension0
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis0
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning0
Active Learning Principles for In-Context Learning with Large Language Models0
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