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In-Context Learning

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Showing 2151–2200 of 2297 papers

TitleStatusHype
Adversarial Demonstration Attacks on Large Language Models—0
Estimating Large Language Model Capabilities without Labeled Test DataCode0
Increasing Probability Mass on Answer Choices Does Not Always Improve AccuracyCode0
Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization—0
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing—0
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal ReasoningCode0
Skill-Based Few-Shot Selection for In-Context Learning—0
Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual EntailmentCode0
Concept-aware Training Improves In-context Learning Ability of Language ModelsCode0
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization—0
Dr.ICL: Demonstration-Retrieved In-context Learning—0
Exploring Chain-of-Thought Style Prompting for Text-to-SQL—0
In-Context Probing: Toward Building Robust Classifiers via Probing Large Language Models—0
Exploring Self-supervised Logic-enhanced Training for Large Language ModelsCode0
Benchmarking Machine Translation with Cultural AwarenessCode0
Make a Choice! Knowledge Base Question Answering with In-Context Learning—0
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine TranslationCode0
Active Learning Principles for In-Context Learning with Large Language Models—0
Meta-in-context learning in large language modelsCode0
Explaining Emergent In-Context Learning as Kernel Regression—0
Measuring Inductive Biases of In-Context Learning with Underspecified DemonstrationsCode0
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist ExaminationCode0
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding—0
Iterative Forward Tuning Boosts In-Context Learning in Language ModelsCode0
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies—0
PRODIGY: Enabling In-context Learning Over Graphs—0
AutoTrial: Prompting Language Models for Clinical Trial Design—0
Post Hoc Explanations of Language Models Can Improve Language Models—0
PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning—0
Cross-Lingual Supervision improves Large Language Models Pre-training—0
Efficient Prompting via Dynamic In-Context Learning—0
Instruction Tuned Models are Quick LearnersCode0
Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries—0
Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical StudyCode0
Symbol tuning improves in-context learning in language models—0
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text—0
How Good are Commercial Large Language Models on African Languages?—0
Chain-of-Dictionary Prompting Elicits Translation in Large Language ModelsCode0
Multilingual LLMs are Better Cross-lingual In-context Learners with AlignmentCode0
GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning—0
How Do In-Context Examples Affect Compositional Generalization?—0
In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models—0
WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models—0
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?Code0
Privacy-Preserving In-Context Learning for Large Language Models—0
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression—0
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations—0
Controlled Text Generation with Natural Language Instructions—0
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression—0
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation—0
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