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In-Context Learning

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Showing 1301–1350 of 2297 papers

TitleStatusHype
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning—0
LawLLM: Law Large Language Model for the US Legal System—0
Distributed In-Context Learning under Non-IID Among Clients—0
Intermittent Semi-working Mask: A New Masking Paradigm for LLMs—0
NOLO: Navigate Only Look Once—0
Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages—0
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process—0
Spin glass model of in-context learning—0
OneLove beyond the field -- A few-shot pipeline for topic and sentiment analysis during the FIFA World Cup in Qatar—0
Hide and Seek: Fingerprinting Large Language Models with Evolutionary Learning—0
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion—0
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts—0
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning—0
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs—0
Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds—0
Relational reasoning and inductive bias in transformers trained on a transitive inference task—0
Transformers Meet In-Context Learning: A Universal Approximation Theory—0
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods—0
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree—0
A Closer Look at TabPFN v2: Strength, Limitation, and Extension—0
A Comparative Analysis of Fine-Tuned LLMs and Few-Shot Learning of LLMs for Financial Sentiment Analysis—0
A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension—0
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis—0
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning—0
Active Learning Principles for In-Context Learning with Large Language Models—0
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning—0
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model—0
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models—0
Trust-Oriented Adaptive Guardrails for Large Language Models—0
Adaptive Task Vectors for Large Language Models—0
AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models—0
A Survey to Recent Progress Towards Understanding In-Context Learning—0
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models—0
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning—0
Adversarial Demonstration Attacks on Large Language Models—0
Adversarial Robustness of In-Context Learning in Transformers for Linear Regression—0
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models—0
A Few Hypocrites: Few-Shot Learning and Subtype Definitions for Detecting Hypocrisy Accusations in Online Climate Change Debates—0
Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective—0
Affect Recognition in Conversations Using Large Language Models—0
Affinity and Diversity: A Unified Metric for Demonstration Selection via Internal Representations—0
Agent-Driven Large Language Models for Mandarin Lyric Generation—0
AgenticControl: An Automated Control Design Framework Using Large Language Models—0
Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories—0
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework—0
AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs—0
AIM: Let Any Multi-modal Large Language Models Embrace Efficient In-Context Learning—0
A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems—0
A Latent Space Theory for Emergent Abilities in Large Language Models—0
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models—0
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