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In-Context Learning

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Showing 551–600 of 2297 papers

TitleStatusHype
Measuring Inductive Biases of In-Context Learning with Underspecified DemonstrationsCode0
Measuring Pointwise V-Usable Information In-Context-lyCode0
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context LearningCode0
Measuring and Modifying Factual Knowledge in Large Language ModelsCode0
Adversarially Pretrained Transformers may be Universally Robust In-Context LearnersCode0
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context LearningCode0
Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical DomainCode0
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel InterpretationsCode0
A Benchmark for Learning to Translate a New Language from One Grammar BookCode0
MemeSense: An Adaptive In-Context Framework for Social Commonsense Driven Meme ModerationCode0
Exploring Self-supervised Logic-enhanced Training for Large Language ModelsCode0
Anti-LM Decoding for Zero-shot In-context Machine TranslationCode0
LLMs Are Few-Shot In-Context Low-Resource Language LearnersCode0
DETAIL: Task DEmonsTration Attribution for Interpretable In-context LearningCode0
A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity DetectionCode0
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking TaskCode0
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using UncertaintyCode0
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context LearningCode0
Linking In-context Learning in Transformers to Human Episodic MemoryCode0
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based RankingCode0
Looped Transformers as Programmable ComputersCode0
Demonstration Augmentation for Zero-shot In-context LearningCode0
Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQLCode0
Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTSCode0
Likelihood-based Mitigation of Evaluation Bias in Large Language ModelsCode0
Leveraging Large Language Models for enzymatic reaction prediction and characterizationCode0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
BenTo: Benchmark Task Reduction with In-Context TransferabilityCode0
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language ModelsCode0
Leveraging Large Language Models to Develop Heuristics for Emerging Optimization ProblemsCode0
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMsCode0
Deep Natural Language Feature Learning for Interpretable PredictionCode0
Benchmarking Large Language Models for Math Reasoning TasksCode0
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-TuningCode0
Learning to Reason via Program Generation, Emulation, and SearchCode0
Deconstructing In-Context Learning: Understanding Prompts via CorruptionCode0
Leveraging Code to Improve In-context Learning for Semantic ParsingCode0
Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context LearningCode0
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word ProblemCode0
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-TreesCode0
Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot StrategiesCode0
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context LearningCode0
Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective TasksCode0
BEAR: BGP Event Analysis and ReportingCode0
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPTCode0
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context LearningCode0
Bayes' Power for Explaining In-Context Learning GeneralizationsCode0
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context LearningCode0
Large Language Models Are Partially Primed in Pronoun InterpretationCode0
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge GraphsCode0
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