SOTAVerified

In-Context Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 626–650 of 2297 papers

TitleStatusHype
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
Show:102550
← PrevPage 26 of 92Next →

No leaderboard results yet.