Papers
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It
Jisoo Mok, Jaeyoung Do, Sungjin Lee et al.
Large Scale Sequence-to-Sequence Models for Clinical Note Generation from Patient-Doctor Conversations
Gagandeep Singh, Yue Pan, Jesus Andres-Ferrer et al.
lasigeBioTM at SemEval-2023 Task 7: Improving Natural Language Inference Baseline Systems with Domain Ontologies
Sofia I. R. Conceição, Diana F. Sousa, Pedro Silvestre et al.
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning
Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings
Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen et al.
LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application
Rindra Ramamonjison, Timothy Yu, Linzi Xing et al.
Lauri Ingman at SemEval-2023 Task 4: A Chain Classifier for Identifying Human Values behind Arguments
Spencer Paulissen, Caroline Wendt
LAVIS: A One-stop Library for Language-Vision Intelligence
Dongxu Li, Junnan Li, Hung Le et al.
Layer-wise Fusion with Modality Independence Modeling for Multi-modal Emotion Recognition
Jun Sun, Shoukang Han, Yu-Ping Ruan et al.
Layerwise universal adversarial attack on NLP models
Olga Tsymboi, Danil Malaev, Andrei Petrovskii et al.
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding
Yi Tu, Ya Guo, Huan Chen et al.
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing
Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury et al.
Lazybob at SemEval-2023 Task 9: Quantifying Intimacy of Multilingual Tweets with Multi-Task Learning
Mengfei Yuan, Cheng Chen
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification
Konstantin Chernyshev, Ekaterina Garanina, Duygu Bayram et al.
Learned Adapters Are Better Than Manually Designed Adapters
Yuming Zhang, Peng Wang, Ming Tan et al.
Learning Action Conditions from Instructional Manuals for Instruction Understanding
Te-Lin Wu, Caiqi Zhang, Qingyuan Hu et al.
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators
Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski et al.
Learning Better Masking for Better Language Model Pre-training
Dongjie Yang, Zhuosheng Zhang, Hai Zhao
Learning by Analogy: Diverse Questions Generation in Math Word Problem
Zihao Zhou, Maizhen Ning, Qiufeng Wang et al.
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation
Xiaohang Tang, Yi Zhou, Danushka Bollegala
Learning Event-aware Measures for Event Coreference Resolution
Yao Yao, Zuchao Li, Hai Zhao
Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation
Zhiyang Xu, Jay Yoon Lee, Lifu Huang
Learning from Children: Improving Image-Caption Pretraining via Curriculum
Hammad Ayyubi, Rahul Lokesh, Alireza Zareian et al.
Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning
Semere Kiros Bitew, Johannes Deleu, A. Seza Doğruöz et al.
Learning In-context Learning for Named Entity Recognition
Jiawei Chen, Yaojie Lu, Hongyu Lin et al.