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In-Context Learning

Papers

Showing 276300 of 2297 papers

TitleStatusHype
AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generationCode0
Take Off the Training Wheels Progressive In-Context Learning for Effective AlignmentCode0
RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models0
Understanding the Logical Capabilities of Large Language Models via Out-of-Context Representation Learning0
Hybrid Agents for Image Restoration0
In-Context Defense in Computer Agents: An Empirical Study0
N2C2: Nearest Neighbor Enhanced Confidence Calibration for Cross-Lingual In-Context Learning0
Training Plug-n-Play Knowledge Modules with Deep Context Distillation0
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse AttentionCode1
YuE: Scaling Open Foundation Models for Long-Form Music GenerationCode9
LLMIdxAdvis: Resource-Efficient Index Advisor Utilizing Large Language Model0
KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue CorpusCode0
Strategies for political-statement segmentation and labelling in unstructured text0
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems0
Simulating and Analysing Human Survey Responses with Large Language Models: A Case Study in Energy Stated Preference0
Strategy Coopetition Explains the Emergence and Transience of In-Context LearningCode1
From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning0
Are Large Language Models Good In-context Learners for Financial Sentiment Analysis?0
Uncovering inequalities in new knowledge learning by large language models across different languagesCode0
Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents0
Targeted Distillation for Sentiment Analysis0
Psy-Insight: Explainable Multi-turn Bilingual Dataset for Mental Health Counseling0
Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of AbstractionCode0
Leveraging Large Language Models to Develop Heuristics for Emerging Optimization ProblemsCode0
Can Frontier LLMs Replace Annotators in Biomedical Text Mining? Analyzing Challenges and Exploring SolutionsCode0
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