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In-Context Learning

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Showing 401–425 of 2297 papers

TitleStatusHype
The in-context inductive biases of vision-language models differ across modalities—0
Vision-centric Token Compression in Large Language Model—0
LLM-based event log analysis techniques: A survey—0
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference—0
Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs—0
On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning—0
Unraveling the Capabilities of Language Models in News SummarizationCode0
Shared DIFF Transformer—0
VoicePrompter: Robust Zero-Shot Voice Conversion with Voice Prompt and Conditional Flow Matching—0
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains—0
From Natural Language to Extensive-Form Game RepresentationsCode0
Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented GenerationCode0
Can Transformers Learn Full Bayesian Inference in Context?Code1
How well can LLMs Grade Essays in Arabic?—0
Detecting Zero-Day Attacks in Digital Substations via In-Context Learning—0
Training Dynamics of In-Context Learning in Linear Attention—0
StaICC: Standardized Evaluation for Classification Task in In-context LearningCode0
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design—0
AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement—0
New Evaluation Paradigm for Lexical Simplification—0
Speech Translation Refinement using Large Language ModelsCode0
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning—0
Prompt-Based Cost-Effective Evaluation and Operation of ChatGPT as a Computer Programming Teaching Assistant—0
Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models—0
EICopilot: Search and Explore Enterprise Information over Large-scale Knowledge Graphs with LLM-driven Agents—0
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