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In-Context Learning

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Showing 601–650 of 2297 papers

TitleStatusHype
LLMs Are Few-Shot In-Context Low-Resource Language LearnersCode0
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based RankingCode0
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in TurkishCode0
An Empirical Study of In-context Learning in LLMs for Machine TranslationCode0
Linking In-context Learning in Transformers to Human Episodic MemoryCode0
Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQLCode0
In-Context Example Selection via Similarity Search Improves Low-Resource Machine TranslationCode0
Likelihood-based Mitigation of Evaluation Bias in Large Language ModelsCode0
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using UncertaintyCode0
Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art UnderstandingCode0
Crafting In-context Examples according to LMs' Parametric KnowledgeCode0
Leveraging Code to Improve In-context Learning for Semantic ParsingCode0
BADGE: BADminton report Generation and Evaluation with LLMCode0
Leveraging Large Language Models for enzymatic reaction prediction and characterizationCode0
CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought ReasoningCode0
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMsCode0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Learning to Reason via Program Generation, Emulation, and SearchCode0
Corrective In-Context Learning: Evaluating Self-Correction in Large Language ModelsCode0
CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data GenerationCode0
Counterfactual reasoning: an analysis of in-context emergenceCode0
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-TreesCode0
Automatic Short Math Answer Grading via In-context Meta-learningCode0
Leveraging Large Language Models to Develop Heuristics for Emerging Optimization ProblemsCode0
Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text DetectionCode0
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context LearningCode0
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPTCode0
Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective TasksCode0
Adaptive behavior with stable synapsesCode0
Large Language Models Are Partially Primed in Pronoun InterpretationCode0
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context LearningCode0
Automated Self-Refinement and Self-Correction for LLM-based Product Attribute Value ExtractionCode0
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel TasksCode0
Language Models are Better Bug Detector Through Code-Pair ClassificationCode0
Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal ReasoningCode0
Large Language Models are Biased Reinforcement LearnersCode0
Automated Molecular Concept Generation and Labeling with Large Language ModelsCode0
Conquering the Retina: Bringing Visual in-Context Learning to OCTCode0
LaiDA: Linguistics-aware In-context Learning with Data Augmentation for Metaphor Components IdentificationCode0
Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of AbstractionCode0
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMsCode0
Confidence Estimation for Error Detection in Text-to-SQL SystemsCode0
KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue CorpusCode0
Concept-aware Training Improves In-context Learning Ability of Language ModelsCode0
Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test FormulationCode0
Auto-ICL: In-Context Learning without Human SupervisionCode0
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context LearningCode0
Complementary Explanations for Effective In-Context LearningCode0
Exploring Self-supervised Logic-enhanced Training for Large Language ModelsCode0
Competition Dynamics Shape Algorithmic Phases of In-Context LearningCode0
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