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In-Context Learning

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Showing 1701–1750 of 2297 papers

TitleStatusHype
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama modelsCode0
How Well Can Transformers Emulate In-context Newton's Method?—0
Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment—0
Not All Layers of LLMs Are Necessary During Inference—0
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?—0
Transformers for Supervised Online Continual Learning—0
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models—0
Distilling Text Style Transfer With Self-Explanation From LLMs—0
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment AnalysisCode0
LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma—0
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in TurkishCode0
DFIN-SQL: Integrating Focused Schema with DIN-SQL for Superior Accuracy in Large-Scale Databases—0
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph—0
Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality—0
From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs—0
Large Language Models As Evolution Strategies—0
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification—0
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling—0
Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models—0
Video as the New Language for Real-World Decision Making—0
Look Before You Leap: Towards Decision-Aware and Generalizable Tool-Usage for Large Language Models—0
Likelihood-based Mitigation of Evaluation Bias in Large Language ModelsCode0
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language ModelsCode0
Evaluating the Performance of ChatGPT for Spam Email Detection—0
Fine-tuning Large Language Models for Domain-specific Machine Translation—0
Studying LLM Performance on Closed- and Open-source Data—0
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?—0
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization—0
A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound SegmentationCode0
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis—0
Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions—0
CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory—0
Se^2: Sequential Example Selection for In-Context Learning—0
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction—0
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional AnalysisCode0
Harnessing Large Language Models as Post-hoc CorrectorsCode0
Identifying Semantic Induction Heads to Understand In-Context Learning—0
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic ChoicesCode0
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even PerformanceCode0
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations—0
Enabling Weak LLMs to Judge Response Reliability via Meta Ranking—0
Standardize: Aligning Language Models with Expert-Defined Standards for Content GenerationCode0
Parallel Structures in Pre-training Data Yield In-Context LearningCode0
Do Large Language Models Understand Logic or Just Mimick Context?—0
Modularized Networks for Few-shot Hateful Meme DetectionCode0
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness—0
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural NetworkCode0
Visual In-Context Learning for Large Vision-Language Models—0
In-Context Example Ordering Guided by Label Distributions—0
C-ICL: Contrastive In-context Learning for Information Extraction—0
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