Papers
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding
Liang Zhao, Xiachong Feng, Xiaocheng Feng et al.
Less is Fed More: Sparsity Reduces Feature Distortion in Federated Learning
Abhinav Rao, Aashiq Muhamed, Harshita Diddee
Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA
Wenyu Huang, Guancheng Zhou, Hongru Wang et al.
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
David Schulte, Felix Hamborg, Alan Akbik
Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance.
Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai et al.
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
Beatriz Borges, Niket Tandon, Tanja Käser et al.
“Let’s Argue Both Sides”: Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities
Kaveh Eskandari Miandoab, Vasanth Sarathy
Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learning
Zhengyu Hu, Yichuan Li, Zhengyu Chen et al.
Let’s discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality Assessment
Rositsa V Ivanova, Thomas Huber, Christina Niklaus
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
Zihan Wang, Deli Chen, Damai Dai et al.
Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content
Tyler Malloy, Maria José Ferreira, Fei Fang et al.
Leveraging Adapters for Improved Cross-lingual Transfer for Low-Resource Creole MT
Marcell Fekete, Ernests Lavrinovics, Nathaniel Romney Robinson et al.
Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training
Zetong Li, Qinliang Su, Shijing Si et al.
Leveraging Conflicts in Social Media Posts: Unintended Offense Dataset
Che-Wei Tsai, Yen-Hao Huang, Tsu-Keng Liao et al.
Leveraging Context-Aware Prompting for Commit Message Generation
Zhihua Jiang, Jianwei Chen, Dongning Rao et al.
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking
Jun Bai, Zhuofan Chen, Zhenzi Li et al.
Leveraging Grammar Induction for Language Understanding and Generation
Jushi Kai, Shengyuan Hou, Yusheng Huang et al.
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges
Zhen Li, Xiaohan Xu, Tao Shen et al.
Leveraging LLMs for Translating and Classifying Mental Health Data
Konstantinos Skianis, A. Seza Doğruöz, John Pavlopoulos
Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructions
Hakyung Sung, Kristopher Kyle
Leveraging Web-Crawled Data for High-Quality Fine-Tuning
Jing Zhou, Chenglin Jiang, Wei Shen et al.
LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
Zheng Xin Yong, Cristina Menghini, Stephen Bach
Lexical Complexity Prediction and Lexical Simplification for Catalan and Spanish: Resource Creation, Quality Assessment, and Ethical Considerations
Horacio Saggion, Stefan Bott, Sandra Szasz et al.
Lexically Grounded Subword Segmentation
Jindřich Libovický, Jindřich Helcl