SOTAVerified

In-Context Learning

Papers

Showing 20512100 of 2297 papers

TitleStatusHype
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text GamesCode1
Adapting Language Models to Compress ContextsCode2
EXnet: Efficient In-context Learning for Data-less Text classification0
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer0
RetICL: Sequential Retrieval of In-Context Examples with Reinforcement LearningCode1
Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual EntailmentCode0
Exploring Chain-of-Thought Style Prompting for Text-to-SQL0
Benchmarking Machine Translation with Cultural AwarenessCode0
Exploring Self-supervised Logic-enhanced Training for Large Language ModelsCode0
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context LearningCode1
Concept-aware Training Improves In-context Learning Ability of Language ModelsCode0
Make a Choice! Knowledge Base Question Answering with In-Context Learning0
In-Context Probing: Toward Building Robust Classifiers via Probing Large Language Models0
Dr.ICL: Demonstration-Retrieved In-context Learning0
Skill-Based Few-Shot Selection for In-Context Learning0
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine TranslationCode0
Active Learning Principles for In-Context Learning with Large Language Models0
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization0
Small Language Models Improve Giants by Rewriting Their OutputsCode1
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding0
Iterative Forward Tuning Boosts In-Context Learning in Language ModelsCode0
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist ExaminationCode0
MAILEX: Email Event and Argument ExtractionCode1
Can We Edit Factual Knowledge by In-Context Learning?Code1
Measuring Inductive Biases of In-Context Learning with Underspecified DemonstrationsCode0
Meta-in-context learning in large language modelsCode0
Fact-Checking Complex Claims with Program-Guided ReasoningCode1
Explaining Emergent In-Context Learning as Kernel Regression0
PRODIGY: Enabling In-context Learning Over Graphs0
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies0
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsCode2
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented LanguagesCode1
Cross-Lingual Supervision improves Large Language Models Pre-training0
AutoTrial: Prompting Language Models for Clinical Trial Design0
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain SettingsCode1
PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning0
Post Hoc Explanations of Language Models Can Improve Language Models0
Efficient Prompting via Dynamic In-Context Learning0
Learning In-context Learning for Named Entity RecognitionCode1
Can Language Models Solve Graph Problems in Natural Language?Code1
Instruction Tuned Models are Quick LearnersCode0
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context LearningCode1
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackCode2
Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries0
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task LearningCode1
Pre-Training to Learn in ContextCode1
Text Classification via Large Language ModelsCode1
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text0
Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical StudyCode0
Symbol tuning improves in-context learning in language models0
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