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In-Context Learning

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Showing 1301–1350 of 2297 papers

TitleStatusHype
On Automating Security Policies with Contemporary LLMs—0
On-Chip Learning via Transformer In-Context Learning—0
One controller to rule them all—0
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context—0
One size doesn't fit all: Predicting the Number of Examples for In-Context Learning—0
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention—0
One Task Vector is not Enough: A Large-Scale Study for In-Context Learning—0
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion—0
On Linear Representations and Pretraining Data Frequency in Language Models—0
On Scaling Up a Multilingual Vision and Language Model—0
On the Compositional Generalization Gap of In-Context Learning—0
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model—0
A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness—0
On the ERM Principle in Meta-Learning—0
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models—0
On-the-Fly Fusion of Large Language Models and Machine Translation—0
On the generalization of language models from in-context learning and finetuning: a controlled study—0
On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models—0
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery—0
On the Out-Of-Distribution Generalization of Multimodal Large Language Models—0
On the Out-Of-Distribution Generalization of Large Multimodal Models—0
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software—0
On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks—0
On the Power of Context-Enhanced Learning in LLMs—0
On the Privacy Risk of In-context Learning—0
Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis—0
On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses—0
On the Robustness of Transformers against Context Hijacking for Linear Classification—0
On the Role of Depth and Looping for In-Context Learning with Task Diversity—0
Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning—0
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures—0
Ontologically Faithful Generation of Non-Player Character Dialogues—0
On Unsupervised Prompt Learning for Classification with Black-box Language Models—0
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models—0
Optimization-Inspired Few-Shot Adaptation for Large Language Models—0
Optimization through In-Context Learning and Iterative LLM Prompting for Nuclear Engineering Design Problems—0
Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models—0
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning—0
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling—0
Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models—0
Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective—0
PanguIR Technical Report for NTCIR-18 AEOLLM Task—0
Path Planning for Masked Diffusion Model Sampling—0
PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design—0
Personalized Adaptation via In-Context Preference Learning—0
Perspective Transition of Large Language Models for Solving Subjective Tasks—0
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models—0
Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis—0
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching—0
Plant in Cupboard, Orange on Rably, Inat Aphone. Benchmarking Incremental Learning of Situation and Language Model using a Text-Simulated Situated Environment—0
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