Papers
Unified Examination of Entity Linking in Absence of Candidate Sets
Nicolas Ong, Hassan Shavarani, Anoop Sarkar
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI
Elron Bandel, Yotam Perlitz, Elad Venezian et al.
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
Stephen Mayhew, Terra Blevins, Shuheng Liu et al.
Universal Prompt Optimizer for Safe Text-to-Image Generation
Zongyu Wu, Hongcheng Gao, Yueze Wang et al.
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions
Siddhant Arora, Hayato Futami, Jee-weon Jung et al.
Unknown Script: Impact of Script on Cross-Lingual Transfer
Wondimagegnhue Tufa, Ilia Markov, Piek Vossen
Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
Zhenhailong Wang, Shaoguang Mao, Wenshan Wu et al.
Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge
Yifei Liu, Yiquan Wu, Ang Li et al.
Unlocking Emergent Modularity in Large Language Models
Zihan Qiu, Zeyu Huang, Jie Fu
Unlocking Knowledge with OCR-Driven Document Digitization for Peruvian Indigenous Languages
Shadya Sanchez Carrera, Roberto Zariquiey, Arturo Oncevay
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation
Tong Su, Xin Peng, Sarubi Thillainathan et al.
Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence
Yinhong Liu, Yixuan Su, Ehsan Shareghi et al.
UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking
Chuang Li, Yan Zhang, Min-Yen Kan et al.
Unveiling Divergent Inductive Biases of LLMs on Temporal Data
Sindhu Kishore, Hangfeng He
Unveiling the Generalization Power of Fine-Tuned Large Language Models
Haoran Yang, Yumeng Zhang, Jiaqi Xu et al.
Unveiling the Magic: Investigating Attention Distillation in Retrieval-Augmented Generation
Zizhong Li, Haopeng Zhang, Jiawei Zhang
UPN-ICC at BEA 2024 Shared Task: Leveraging LLMs for Multiple-Choice Questions Difficulty Prediction
George Duenas, Sergio Jimenez, Geral Mateus Ferro
Using Adaptive Empathetic Responses for Teaching English
Li Siyan, Teresa Shao, Julia Hirschberg et al.
Using Large Language Models to Assess Young Students’ Writing Revisions
Tianwen Li, Zhexiong Liu, Lindsay Matsumura et al.
Using Locally Learnt Word Representations for better Textual Anomaly Detection
Alicia Breidenstein, Matthieu Labeau
Using Machine Learning to Predict Item Difficulty and Response Time in Medical Tests
Mehrdad Yousefpoori-Naeim, Shayan Zargari, Zahra Hatami
Using Program Repair as a Proxy for Language Models’ Feedback Ability in Programming Education
Charles Koutcheme, Nicola Dainese, Arto Hellas
Using Structured Health Information for Controlled Generation of Clinical Cases in French
Hugo Boulanger, Nicolas Hiebel, Olivier Ferret et al.
USMBA-NLP at SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials using Bert
Anass Fahfouh, Abdessamad Benlahbib, Jamal Riffi et al.
USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings
Zikang Guo, Kaijie Jiao, Xingyu Yao et al.