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In-Context Learning

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Showing 1601–1650 of 2297 papers

TitleStatusHype
Split and Rephrase with Large Language Models—0
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning—0
Low-resource classification of mobility functioning information in clinical sentences using large language models—0
Catwalk: A Unified Language Model Evaluation Framework for Many DatasetsCode1
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language ModelsCode1
A Comparative Analysis of Fine-Tuned LLMs and Few-Shot Learning of LLMs for Financial Sentiment Analysis—0
VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and GenerationCode1
MotherNet: Fast Training and Inference via Hyper-Network TransformersCode1
Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models—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
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection—0
VILA: On Pre-training for Visual Language ModelsCode4
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning—0
Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context—0
MMICT: Boosting Multi-Modal Fine-Tuning with In-Context ExamplesCode0
On Meta-PromptingCode2
Flexible visual prompts for in-context learning in computer visionCode0
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching—0
The ICL Consistency Test—0
Hijacking Context in Large Multi-modal Models—0
Cost-Effective In-Context Learning for Entity Resolution: A Design Space ExplorationCode1
A Study on the Calibration of In-context LearningCode0
In-context learning of state estimators—0
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning—0
Generalization to New Sequential Decision Making Tasks with In-Context Learning—0
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context LearningCode1
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
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier FrameworkCode0
Towards More Unified In-context Visual Understanding—0
Prompt Optimization via Adversarial In-Context LearningCode1
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context LearningCode1
How to Configure Good In-Context Sequence for Visual Question AnsweringCode1
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks—0
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningCode2
Hot PATE: Private Aggregation of Distributions for Diverse Task—0
The mechanistic basis of data dependence and abrupt learning in an in-context classification task—0
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts—0
A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness—0
Dolphins: Multimodal Language Model for DrivingCode1
Manipulating the Label Space for In-Context Classification—0
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games—0
Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes—0
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation—0
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?—0
PALM: Predicting Actions through Language Models—0
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning—0
Leveraging VLM-Based Pipelines to Annotate 3D Objects—0
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