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In-Context Learning

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Showing 1851–1900 of 2297 papers

TitleStatusHype
Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection—0
Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization—0
ICL Markup: Structuring In-Context Learning using Soft-Token Tags—0
MMICT: Boosting Multi-Modal Fine-Tuning with In-Context ExamplesCode0
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning—0
Flexible visual prompts for in-context learning in computer visionCode0
Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context—0
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching—0
The ICL Consistency Test—0
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning—0
Hijacking Context in Large Multi-modal Models—0
In-context learning of state estimators—0
A Study on the Calibration of In-context LearningCode0
Generalization to New Sequential Decision Making Tasks with In-Context Learning—0
Context Diffusion: In-Context Aware Image Generation—0
Think from Words(TFW): Initiating Human-Like Cognition in Large Language Models Through Think from Words for Japanese Text-level Classification—0
Towards More Unified In-context Visual Understanding—0
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier FrameworkCode0
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks—0
Hot PATE: Private Aggregation of Distributions for Diverse Task—0
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts—0
The mechanistic basis of data dependence and abrupt learning in an in-context classification task—0
A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness—0
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games—0
Manipulating the Label Space for In-Context Classification—0
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation—0
Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes—0
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning—0
Leveraging VLM-Based Pipelines to Annotate 3D Objects—0
PALM: Predicting Actions through Language Models—0
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?—0
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges—0
AlignedCoT: Prompting Large Language Models via Native-Speaking DemonstrationsCode0
In-Context Learning Functions with Varying Number of MinimaCode0
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning—0
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software—0
Few-Shot Classification & Segmentation Using Large Language Models Agent—0
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems—0
Exploring the Relationship between In-Context Learning and Instruction Tuning—0
Crafting In-context Examples according to LMs' Parametric KnowledgeCode0
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label ClassificationCode0
GistScore: Learning Better Representations for In-Context Example Selection with Gist BottlenecksCode0
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning—0
Hijacking Large Language Models via Adversarial In-Context LearningCode0
Evaluating In-Context Learning of Libraries for Code GenerationCode0
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals—0
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering—0
Leveraging Code to Improve In-context Learning for Semantic ParsingCode0
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User PerceptionCode0
Multi-Step Dialogue Workflow Action Prediction—0
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