SOTAVerified

In-Context Learning

Papers

Showing 20012050 of 2297 papers

TitleStatusHype
STEPS: A Benchmark for Order Reasoning in Sequential Tasks0
Enhancing In-Context Learning with Answer Feedback for Multi-Span Question AnsweringCode1
Prompt Space Optimizing Few-shot Reasoning Success with Large Language ModelsCode0
Zero-Shot 3D Shape Correspondence0
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language ModelsCode0
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models0
Towards In-context Scene UnderstandingCode1
ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?0
Learning Transformer ProgramsCode1
Multi-Dimensional Evaluation of Text Summarization with In-Context LearningCode0
In-Context Learning User Simulators for Task-Oriented Dialog SystemsCode1
Improving CLIP Training with Language RewritesCode2
Measuring the Robustness of NLP Models to Domain ShiftsCode0
IDAS: Intent Discovery with Abstractive SummarizationCode1
Self-Verification Improves Few-Shot Clinical Information ExtractionCode1
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context LearningCode0
Contextual Vision Transformers for Robust Representation LearningCode1
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization0
Grammar Prompting for Domain-Specific Language Generation with Large Language ModelsCode1
Do Large Language Models Know What They Don't Know?Code1
PaLI-X: On Scaling up a Multilingual Vision and Language ModelCode1
Mitigating Label Biases for In-context LearningCode1
In-Context Analogical Reasoning with Pre-Trained Language ModelsCode0
Fine-Tuning Language Models with Just Forward PassesCode3
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasksCode1
Towards Explainable Conversational Recommender SystemsCode1
PFNs4BO: In-Context Learning for Bayesian OptimizationCode1
Augmenting Large Language Model Translators via Translation Memories0
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)0
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and EvaluationCode1
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks0
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning0
Large Language Models Are Partially Primed in Pronoun InterpretationCode0
A Closer Look at In-Context Learning under Distribution ShiftsCode1
Language Models Implement Simple Word2Vec-style Vector ArithmeticCode1
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMsCode1
Exploring Diverse In-Context Configurations for Image CaptioningCode1
Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization0
Estimating Large Language Model Capabilities without Labeled Test DataCode0
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing0
Coverage-based Example Selection for In-Context LearningCode1
OverPrompt: Enhancing ChatGPT through Efficient In-Context LearningCode0
Increasing Probability Mass on Answer Choices Does Not Always Improve AccuracyCode0
Universal Self-Adaptive Prompting0
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language ModelsCode1
Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance0
ExpertPrompting: Instructing Large Language Models to be Distinguished ExpertsCode2
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal ReasoningCode0
Adversarial Demonstration Attacks on Large Language Models0
Self-ICL: Zero-Shot In-Context Learning with Self-Generated DemonstrationsCode0
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