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In-Context Learning

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TitleStatusHype
When can in-context learning generalize out of task distribution?—0
Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts?Code0
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient MatchingCode0
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer's Disease Detection—0
BEAR: BGP Event Analysis and ReportingCode0
Relational reasoning and inductive bias in transformers trained on a transitive inference task—0
Does Prompt Design Impact Quality of Data Imputation by LLMs?—0
Adaptive Task Vectors for Large Language Models—0
Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds—0
On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses—0
Large Language Models Can Achieve Explainable and Training-Free One-shot HRRP ATR—0
Towards Predicting Any Human Trajectory In Context—0
A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems—0
Enhancing Speech Instruction Understanding and Disambiguation in Robotics via Speech Prosody—0
Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering TasksCode0
G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language ModelsCode0
CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning—0
ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary—0
Discl-VC: Disentangled Discrete Tokens and In-Context Learning for Controllable Zero-Shot Voice Conversion—0
CrossICL: Cross-Task In-Context Learning via Unsupervised Demonstration Transfer—0
Transformers Are Universally Consistent—0
One Task Vector is not Enough: A Large-Scale Study for In-Context Learning—0
From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs—0
Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors—0
Engineering Serendipity through Recommendations of Items with Atypical AspectsCode0
LLM Agents for Bargaining with Utility-based Feedback—0
EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models—0
Generating Diverse Training Samples for Relation Extraction with Large Language Models—0
Learning World Models for Interactive Video Generation—0
Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems—0
DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph—0
In-context Language Learning for Endangered Languages in Speech Recognition—0
Monocle: Hybrid Local-Global In-Context Evaluation for Long-Text Generation with Uncertainty-Based Active Learning—0
In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts—0
Learning to Select In-Context Demonstration Preferred by Large Language Model—0
HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple DevicesCode0
In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation—0
Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?—0
The Role of Diversity in In-Context Learning for Large Language Models—0
Optimization-Inspired Few-Shot Adaptation for Large Language Models—0
The Prompt is Mightier than the Example—0
Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning—0
Next-token pretraining implies in-context learning—0
Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning—0
In-Context Watermarks for Large Language Models—0
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence—0
An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability—0
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context LearningCode0
IRONIC: Coherence-Aware Reasoning Chains for Multi-Modal Sarcasm DetectionCode0
Learning Beyond Limits: Multitask Learning and Synthetic Data for Low-Resource Canonical Morpheme Segmentation—0
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