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Publication search results
found 75 matches
- 2023
- Abbas Akkasi, Kathleen C. Fraser, Majid Komeili:
Reference-Free Summarization Evaluation with Large Language Models. Eval4NLP 2023: 193-201 - Pavan Baswani, Ananya Mukherjee, Manish Shrivastava:
LTRC_IIITH's 2023 Submission for Prompting Large Language Models as Explainable Metrics Task. Eval4NLP 2023: 156-163 - Savita Bhat, Vasudeva Varma:
Large Language Models As Annotators: A Preliminary Evaluation For Annotating Low-Resource Language Content. Eval4NLP 2023: 100-107 - Jeremy Block, Yu-Peng Chen, Abhilash Budharapu, Lisa Anthony, Bonnie J. Dorr:
Summary Cycles: Exploring the Impact of Prompt Engineering on Large Language Models' Interaction with Interaction Log Information. Eval4NLP 2023: 85-99 - Yanran Chen, Steffen Eger:
Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End. Eval4NLP 2023: 62-84 - Jad Doughman, Shady Shehata, Leen Al Qadi, Youssef Nafea, Fakhri Karray:
Can a Prediction's Rank Offer a More Accurate Quantification of Bias? A Case Study Measuring Sexism in Debiased Language Models. Eval4NLP 2023: 108-116 - Joonghoon Kim, Sangmin Lee, Seung Hun Han, Saeran Park, Jiyoon Lee, Kiyoon Jeong, Pilsung Kang:
Which is better? Exploring Prompting Strategy For LLM-based Metrics. Eval4NLP 2023: 164-183 - Zahra Kolagar, Sebastian Steindl, Alessandra Zarcone:
EduQuick: A Dataset Toward Evaluating Summarization of Informal Educational Content for Social Media. Eval4NLP 2023: 32-48 - Neema Kotonya, Saran Krishnasamy, Joel R. Tetreault, Alejandro Jaimes:
Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task. Eval4NLP 2023: 202-218 - Daniil Larionov, Vasiliy Viskov, George Kokush, Alexander Panchenko, Steffen Eger:
Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation. Eval4NLP 2023: 228-234 - Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger:
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. Eval4NLP 2023: 117-138 - Yuan Lu, Yu-Ting Lin:
Characterised LLMs Affect its Evaluation of Summary and Translation. Eval4NLP 2023: 184-192 - Ghazaleh Mahmoudi:
Exploring Prompting Large Language Models as Explainable Metrics. Eval4NLP 2023: 219-227 - Abhishek Pradhan, Ketan Kumar Todi:
Understanding Large Language Model Based Metrics for Text Summarization. Eval4NLP 2023: 149-155 - Vatsal Raina, Adian Liusie, Mark J. F. Gales:
Assessing Distractors in Multiple-Choice Tests. Eval4NLP 2023: 12-22 - Nitin Ramrakhiyani, Vasudeva Varma, Girish K. Palshikar, Sachin Pawar:
Zero-shot Probing of Pretrained Language Models for Geography Knowledge. Eval4NLP 2023: 49-61 - Yixuan Wang, Qingyan Chen, Duygu Ataman:
Delving into Evaluation Metrics for Generation: A Thorough Assessment of How Metrics Generalize to Rephrasing Across Languages. Eval4NLP 2023: 23-31 - Lukas Weber, Krishnan Jothi Ramalingam, Matthias Beyer, Axel Zimmermann:
WRF: Weighted Rouge-F1 Metric for Entity Recognition. Eval4NLP 2023: 1-11 - Rui Zhang, Fuhai Song, Hui Huang, Jinghao Yuan, Muyun Yang, Tiejun Zhao:
HIT-MI&T Lab's Submission to Eval4NLP 2023 Shared Task. Eval4NLP 2023: 139-148 - Daniel Deutsch, Rotem Dror, Steffen Eger, Yang Gao, Christoph Leiter, Juri Opitz, Andreas Rücklé:
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2023, Bali, Indonesia, November 1, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-021-9 [contents] - 2022
- Kaori Abe, Sho Yokoi, Tomoyuki Kajiwara, Kentaro Inui:
Why is sentence similarity benchmark not predictive of application-oriented task performance? Eval4NLP 2022: 70-87 - Guanyi Chen, Fahime Same, Kees van Deemter:
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset. Eval4NLP 2022: 103-114 - Ryan Chi, Nathan Kim, Patrick Liu, Zander Lack, Ethan A. Chi:
GLARE: Generative Left-to-right AdversaRial Examples. Eval4NLP 2022: 44-50 - Parush Gera, Tempestt J. Neal:
A Comparative Analysis of Stance Detection Approaches and Datasets. Eval4NLP 2022: 58-69 - Shohei Higashiyama, Masao Ideuchi, Masao Utiyama, Yoshiaki Oida, Eiichiro Sumita:
A Japanese Corpus of Many Specialized Domains for Word Segmentation and Part-of-Speech Tagging. Eval4NLP 2022: 1-10 - Mateusz Krubi'nski, Pavel Pecina:
From COMET to COMES - Can Summary Evaluation Benefit from Translation Evaluation? Eval4NLP 2022: 21-31 - Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui:
Chat Translation Error Detection for Assisting Cross-lingual Communications. Eval4NLP 2022: 88-95 - Juri Opitz, Anette Frank:
Better Smatch = Better Parser? AMR evaluation is not so simple anymore. Eval4NLP 2022: 32-43 - Roberta Rocca, Alejandro de la Vega:
Evaluating the role of non-lexical markers in GPT-2's language modeling behavior. Eval4NLP 2022: 96-102 - Zhengxiang Wang:
Random Text Perturbations Work, but not Always. Eval4NLP 2022: 51-57
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