Papers
Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction
Simon Meoni, Eric De la Clergerie, Theo Ryffel
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Ruixiang Tang, Dehan Kong, Longtao Huang et al.
Large Language Models Meet NL2Code: A Survey
Daoguang Zan, Bei Chen, Fengji Zhang et al.
Large Language Models respond to Influence like Humans
Lewis Griffin, Bennett Kleinberg, Maximilian Mozes et al.
Large Language Models with Controllable Working Memory
Daliang Li, Ankit Singh Rawat, Manzil Zaheer et al.
Large-Scale Correlation Analysis of Automated Metrics for Topic Models
Jia Peng Lim, Hady Lauw
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes
Anant Khandelwal, Happy Mittal, Shreyas Kulkarni et al.
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