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In-Context Learning

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Showing 601–625 of 2297 papers

TitleStatusHype
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel InterpretationsCode0
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge GraphsCode0
Learning to Reason via Program Generation, Emulation, and SearchCode0
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-TreesCode0
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
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
In-Context Example Selection via Similarity Search Improves Low-Resource Machine TranslationCode0
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context LearningCode0
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMsCode0
Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art UnderstandingCode0
Crafting In-context Examples according to LMs' Parametric KnowledgeCode0
Large Language Models Are Partially Primed in Pronoun InterpretationCode0
BADGE: BADminton report Generation and Evaluation with LLMCode0
CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought ReasoningCode0
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context LearningCode0
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel TasksCode0
Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal ReasoningCode0
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
Automatic Short Math Answer Grading via In-context Meta-learningCode0
Language Models are Better Bug Detector Through Code-Pair ClassificationCode0
Large Language Models are Biased Reinforcement LearnersCode0
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