Papers
158 papers found
Model AI Assignments 2023
Todd W. Neller, Raechel Walker, Olivia Dias et al.
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics
Christoph Leiter, Juri Opitz, Daniel Deutsch et al.
HIT-MI&T Lab’s Submission to Eval4NLP 2023 Shared Task
Rui Zhang, Fuhai Song, Hui Huang et al.
LTRC_IIITH’s 2023 Submission for Prompting Large Language Models as Explainable Metrics Task
Pavan Baswani, Ananya Mukherjee, Manish Shrivastava
Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task
Neema Kotonya, Saran Krishnasamy, Joel Tetreault et al.
Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation
Daniil Larionov, Vasiliy Viskov, George Kokush et al.
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?
Shuheng Liu, Alan Ritter
PlayGround Low Resource Machine Translation System for the 2023 AmericasNLP Shared Task
Tianrui Gu, Kaie Chen, Siqi Ouyang et al.
Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task
Ona De Gibert, Raúl Vázquez, Mikko Aulamo et al.
Findings of the AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages
Abteen Ebrahimi, Manuel Mager, Shruti Rijhwani et al.
RETUYT-InCo at BEA 2023 Shared Task: Tuning Open-Source LLMs for Generating Teacher Responses
Alexis Baladón, Ignacio Sastre, Luis Chiruzzo et al.
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
Anaïs Tack, Ekaterina Kochmar, Zheng Yuan et al.
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients’ Active Diagnoses and Problems from Electronic Health Record Progress Notes
Yanjun Gao, Dmitriy Dligach, Timothy Miller et al.
Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles
Tomas Goldsack, Zheheng Luo, Qianqian Xie et al.
TALP-UPC at ProbSum 2023: Fine-tuning and Data Augmentation Strategies for NER
Neil Torrero, Gerard Sant, Carlos Escolano
Team Converge at ProbSum 2023: Abstractive Text Summarization of Patient Progress Notes
Gaurav Kolhatkar, Aditya Paranjape, Omkar Gokhale et al.
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models
Potsawee Manakul, Yassir Fathullah, Adian Liusie et al.
LHS712EE at BioLaySumm 2023: Using BART and LED to summarize biomedical research articles
Quancheng Liu, Xiheng Ren, V.G.Vinod Vydiswaran
clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues
Kadir Bulut Ozler, Steven Bethard
Team Cadence at MEDIQA-Chat 2023: Generating, augmenting and summarizing clinical dialogue with large language models
Ashwyn Sharma, David Feldman, Aneesh Jain
WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models
John Giorgi, Augustin Toma, Ronald Xie et al.
Teddysum at MEDIQA-Chat 2023: an analysis of fine-tuning strategy for long dialog summarization
Yongbin Jeong, Ju-Hyuck Han, Kyung Min Chae et al.