Papers
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models
Victor Bursztyn, David Demeter, Doug Downey et al.
Learning to Revise References for Faithful Summarization
Griffin Adams, Han-Chin Shing, Qing Sun et al.
Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation
Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
Learning with Rejection for Abstractive Text Summarization
Meng Cao, Yue Dong, Jingyi He et al.
Legal and Political Stance Detection of SCOTUS Language
Noah Bergam, Emily Allaway, Kathleen Mckeown
Legal Named Entity Recognition with Multi-Task Domain Adaptation
Răzvan-Alexandru Smădu, Ion-Robert Dinică, Andrei-Marius Avram et al.
Legal-Tech Open Diaries: Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Models
Stelios Maroudas, Sotiris Legkas, Prodromos Malakasiotis et al.
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training
Qi Shi, Qian Liu, Bei Chen et al.
Less is More: Summary of Long Instructions is Better for Program Synthesis
Kirby Kuznia, Swaroop Mishra, Mihir Parmar et al.
Let the CAT out of the bag: Contrastive Attributed explanations for Text
Saneem Chemmengath, Amar Prakash Azad, Ronny Luss et al.
Leveraging Affirmative Interpretations from Negation Improves Natural Language Understanding
Md Mosharaf Hossain, Eduardo Blanco
Leveraging a New Spanish Corpus for Multilingual and Cross-lingual Metaphor Detection
Elisa Sanchez-Bayona, Rodrigo Agerri
Leveraging Data Recasting to Enhance Tabular Reasoning
Aashna Jena, Vivek Gupta, Manish Shrivastava et al.
Leveraging Locality in Abstractive Text Summarization
Yixin Liu, Ansong Ni, Linyong Nan et al.
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering
Yazheng Li, Pengyun Wang, Yasheng Wang et al.
Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios
Zhuohao Chen, Nikolaos Flemotomos, Zac Imel et al.
Leveraging QA Datasets to Improve Generative Data Augmentation
Dheeraj Mekala, Tu Vu, Timo Schick et al.
Leveraging time-dependent lexical features for offensive language detection
Barbara McGillivray, Malithi Alahapperuma, Jonathan Cook et al.
Leveraging Training Dynamics and Self-Training for Text Classification
Tiberiu Sosea, Cornelia Caragea
Lexical Entailment with Hierarchy Representations by Deep Metric Learning
Naomi Sato, Masaru Isonuma, Kimitaka Asatani et al.
Lexical Generalization Improves with Larger Models and Longer Training
Elron Bandel, Yoav Goldberg, Yanai Elazar
Lexically Constrained Decoding with Edit Operation Prediction for Controllable Text Simplification
Tatsuya Zetsu, Tomoyuki Kajiwara, Yuki Arase
Lexical Simplification in Foreign Language Learning: Creating Pedagogically Suitable Simplified Example Sentences
Jasper Degraeuwe, Horacio Saggion