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In-Context Learning

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Showing 1401–1450 of 2297 papers

TitleStatusHype
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
DFIN-SQL: Integrating Focused Schema with DIN-SQL for Superior Accuracy in Large-Scale Databases—0
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in TurkishCode0
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
Teaching Large Language Models an Unseen Language on the FlyCode1
Dual Operating Modes of In-Context LearningCode1
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-TrainingCode2
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling—0
Large Language Models As Evolution Strategies—0
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification—0
All in an Aggregated Image for In-Image LearningCode1
From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs—0
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented GenerationCode2
Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models—0
Reinforced In-Context Black-Box OptimizationCode1
Video as the New Language for Real-World Decision Making—0
Long-Context Language Modeling with Parallel Context EncodingCode2
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
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM JailbreakersCode2
How Likely Do LLMs with CoT Mimic Human Reasoning?Code1
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context LearningCode1
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?—0
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language ModelsCode0
Evaluating the Performance of ChatGPT for Spam Email Detection—0
Studying LLM Performance on Closed- and Open-source Data—0
Fine-tuning Large Language Models for Domain-specific Machine Translation—0
Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language ModelsCode1
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization—0
How Transformers Learn Causal Structure with Gradient DescentCode1
On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary ProbeCode1
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis—0
A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound SegmentationCode0
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction—0
Se^2: Sequential Example Selection for In-Context Learning—0
Learning to Poison Large Language Models for Downstream ManipulationCode1
Analysing The Impact of Sequence Composition on Language Model Pre-TrainingCode1
CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory—0
Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions—0
A Multimodal In-Context Tuning Approach for E-Commerce Product Description GenerationCode1
Harnessing Large Language Models as Post-hoc CorrectorsCode0
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional AnalysisCode0
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even PerformanceCode0
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic ChoicesCode0
Identifying Semantic Induction Heads to Understand In-Context Learning—0
Parallel Structures in Pre-training Data Yield In-Context LearningCode0
Standardize: Aligning Language Models with Expert-Defined Standards for Content GenerationCode0
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