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Papers
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
ACL 2024
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization
EMNLP 2024
KpopMT: Translation Dataset with Terminology for Kpop Fandom
ACL 2024
L3Masking: Multi-task Fine-tuning for Language Models by Leveraging Lessons Learned from Vanilla Models
EMNLP 2024
Label Alignment Regularization for Distribution Shift
JMLR 2024
Label-Free Synthetic Pretraining of Object Detectors
WACV 2024
Label Noise: Ignorance Is Bliss
NeurIPS 2024
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
EMNLP 2024
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
ICLR 2024
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning
EMNLP 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks
NeurIPS 2024
LaSCal: Label-Shift Calibration without target labels
NeurIPS 2024
Latent Functional Maps: a spectral framework for representation alignment
NeurIPS 2024
Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation
WACV 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
Learning and deploying robust locomotion policies with minimal dynamics randomization
L4DC 2024
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
CVPR 2024
Learning Conditional Invariances through Non-Commutativity
ICLR 2024
Learning De-Biased Representations for Remote-Sensing Imagery
NeurIPS 2024
Learning Image Demoiréing from Unpaired Real Data
AAAI 2024
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds
COLT 2024
Learning model uncertainty as variance-minimizing instance weights
ICLR 2024
Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain
COLING 2024
Learning to Adapt Large Language Models to One-Shot In-Context Intent Classification on Unseen Domains
EMNLP 2024
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
ACL 2024