Papers
Experiments in Multi-Variant Natural Language Processing for Nahuatl
Robert Pugh, Francis Tyers
ExpertQA: Expert-Curated Questions and Attributed Answers
Chaitanya Malaviya, Subin Lee, Sihao Chen et al.
Explainable AI in Language Learning: Linking Empirical Evidence and Theoretical Concepts in Proficiency and Readability Modeling of Portuguese
Luisa Ribeiro-Flucht, Xiaobin Chen, Detmar Meurers
Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation
Dahyun Jung, Sugyeong Eo, Chanjun Park et al.
Explaining Text Similarity in Transformer Models
Alexandros Vasileiou, Oliver Eberle
Explanation Extraction from Hierarchical Classification Frameworks for Long Legal Documents
Nishchal Prasad, Taoufiq Dkaki, Mohand Boughanem
Explanation in the Era of Large Language Models
Zining Zhu, Hanjie Chen, Xi Ye et al.
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models
Wanyong Feng, Jaewook Lee, Hunter McNichols et al.
Exploring Causal Mechanisms for Machine Text Detection Methods
Kiyoon Yoo, Wonhyuk Ahn, Yeji Song et al.
Exploring Compositional Generalization of Large Language Models
Haoran Yang, Hongyuan Lu, Wai Lam et al.
Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis
Nayeon Lee, Chani Jung, Junho Myung et al.
Exploring Factual Entailment with NLI: A News Media Study
Guy Mor-Lan, Effi Levi
Exploring Inherent Biases in LLMs within Korean Social Context: A Comparative Analysis of ChatGPT and GPT-4
Seungyoon Lee, Dongjun Kim, Dahyun Jung et al.
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning
Xiao Li, Yong Jiang, Shen Huang et al.
Exploring Language Model’s Code Generation Ability with Auxiliary Functions
Seonghyeon Lee, Sanghwan Jang, Seongbo Jang et al.
Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation
Maja Stahl, Leon Biermann, Andreas Nehring et al.
Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes
Yu-Wen Chen, Julia Hirschberg
Exploring Self-supervised Logic-enhanced Training for Large Language Models
Fangkai Jiao, Zhiyang Teng, Bosheng Ding et al.
Exploring Semantics in Pretrained Language Model Attention
Frédéric Charpentier, Jairo Cugliari, Adrien Guille
Exploring the Factual Consistency in Dialogue Comprehension of Large Language Models
Shuaijie She, Shujian Huang, Xingyun Wang et al.
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
Dehai Min, Nan Hu, Rihui Jin et al.
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
Lucas Resck, Marcos M. Raimundo, Jorge Poco
Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh’s Submission to AmericasNLP 2024 Translation Task
Vivek Iyer, Bhavitvya Malik, Wenhao Zhu et al.
Extending CLIP’s Image-Text Alignment to Referring Image Segmentation
Seoyeon Kim, Minguk Kang, Dongwon Kim et al.
Extending Input Contexts of Language Models through Training on Segmented Sequences
Petros Karypis, Julian McAuley, George Karypis