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In-Context Learning

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Showing 1651–1675 of 2297 papers

TitleStatusHype
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning—0
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification—0
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging—0
LLMs Are Few-Shot In-Context Low-Resource Language LearnersCode0
SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder—0
Make VLM Recognize Visual Hallucination on Cartoon Character Image with Pose Information—0
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit ReasoningCode0
Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test FormulationCode0
ESG Classification by Implicit Rule Learning via GPT-4—0
Sequence-to-Sequence Language Models for Character and Emotion Detection in Dream Narratives—0
Building Accurate Translation-Tailored LLMs with Language Aware Instruction TuningCode0
PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design—0
CrossTune: Black-Box Few-Shot Classification with Label Enhancement—0
An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis—0
Towards Multimodal In-Context Learning for Vision & Language Models—0
Towards Understanding the Relationship between In-context Learning and Compositional Generalization—0
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk ClassificationCode0
Transfer Learning Beyond Bounded Density Ratios—0
Context-aware LLM-based Safe Control Against Latent Risks—0
Can LLMs Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis—0
Zero-shot Generative Linguistic SteganographyCode0
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models—0
Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-TuningCode0
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential RecommendationCode0
Rectifying Demonstration Shortcut in In-Context LearningCode0
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