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In-Context Learning

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Showing 1851–1900 of 2297 papers

TitleStatusHype
ICLGuard: Controlling In-Context Learning Behavior for Applicability Authorization—0
ICL Markup: Structuring In-Context Learning using Soft-Token Tags—0
ICLR: In-Context Learning of Representations—0
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks—0
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection—0
Identifying and Mitigating the Security Risks of Generative AI—0
Identifying Semantic Induction Heads to Understand In-Context Learning—0
Implicit In-Context Learning: Evidence from Artificial Language Experiments—0
Improving Automatic VQA Evaluation Using Large Language Models—0
Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary—0
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration—0
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts—0
Improving In-context Learning via Bidirectional Alignment—0
Improving Input-label Mapping with Demonstration Replay for In-context Learning—0
Improving Instruct Models for Free: A Study on Partial Adaptation—0
Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search—0
Improving LLM Group Fairness on Tabular Data via In-Context Learning—0
Improving LLM Outputs Against Jailbreak Attacks with Expert Model Integration—0
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty—0
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning—0
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning—0
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation—0
Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions—0
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks—0
In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification—0
Incomplete In-context Learning—0
In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation—0
In-Context Code-Text Learning for Bimodal Software Engineering—0
In-Context Convergence of Transformers—0
In-Context Data Distillation with TabPFN—0
In-Context Defense in Computer Agents: An Empirical Study—0
In-context denoising with one-layer transformers: connections between attention and associative memory retrieval—0
In-Context Example Ordering Guided by Label Distributions—0
In-Context Exemplars as Clues to Retrieving from Large Associative Memory—0
In-Context Exploiter for Extensive-Form Games—0
In-context Exploration-Exploitation for Reinforcement Learning—0
In-Context In-Context Learning with Transformer Neural Processes—0
In-context Interference in Chat-based Large Language Models—0
In-context Language Learning for Endangered Languages in Speech Recognition—0
In-Context Learned Equalization in Cell-Free Massive MIMO via State-Space Models—0
In-context learning agents are asymmetric belief updaters—0
In-context Learning and Induction Heads—0
In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models—0
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties—0
In-Context Learning can distort the relationship between sequence likelihoods and biological fitness—0
In-Context Learning Can Re-learn Forbidden Tasks—0
In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts—0
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning—0
In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models—0
In-context learning enables multimodal large language models to classify cancer pathology images—0
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