Attribution for the papers mirrored in this directory¶
The twelve PDFs here are redistributed under Creative Commons licences, which permit copying provided the author, title and licence travel with the copy. This file is that attribution. It is a licence obligation, not documentation — if you fork this repo or copy these files, this file comes too.
None of these files has been modified. Each is the publisher's PDF, byte-for-byte as
served, fetched on 2026-09-29 by fetch_papers.py. Licences were read
from each publisher's own page on the same date.
| File | Work | Author(s) | Licence | Source |
|---|---|---|---|---|
lin-2004-rouge.pdf |
ROUGE: A Package for Automatic Evaluation of Summaries (2004) | Chin-Yew Lin | CC BY 4.0 | ACL W04-1013 |
conll-2003-ner.pdf |
Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition (2003) | Erik F. Tjong Kim Sang, Fien De Meulder | CC BY 4.0 | ACL W03-0419 |
dror-2018-significance.pdf |
The Hitchhiker's Guide to Testing Statistical Significance in Natural Language Processing (2018) | Rotem Dror, Gili Baumer, Segev Shlomov, Roi Reichart | CC BY 4.0 | ACL P18-1128 |
kryscinski-2019-summarization-critique.pdf |
Neural Text Summarisation: A Critical Evaluation (2019) | Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher | CC BY 4.0 | ACL D19-1051 |
wadden-2020-scifact.pdf |
Fact or Fiction: Verifying Scientific Claims (2020) | David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi | CC BY 4.0 | ACL 2020.emnlp-main.609 |
ding-2021-few-nerd.pdf |
Few-NERD: A Few-shot Named Entity Recognition Dataset (2021) | Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu | CC BY 4.0 | ACL 2021.acl-long.248 |
reimers-2019-sentence-bert.pdf |
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks (2019) | Nils Reimers, Iryna Gurevych | CC BY-SA 4.0 | arXiv 1908.10084 |
thakur-2021-beir.pdf |
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models (2021) | Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, Iryna Gurevych | CC BY-SA 4.0 | arXiv 2104.08663 |
he-2021-deberta-v3.pdf |
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing (2021) | Pengcheng He, Jianfeng Gao, Weizhu Chen | CC BY 4.0 | arXiv 2111.09543 |
wang-2022-e5.pdf |
Text Embeddings by Weakly-Supervised Contrastive Pre-training (2022) | Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei | CC BY 4.0 | arXiv 2212.03533 |
zaratiana-2023-gliner.pdf |
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer (2023) | Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois | CC BY 4.0 | arXiv 2311.08526 |
zhang-2024-gsm1k.pdf |
A Careful Examination of Large Language Model Performance on Grade School Arithmetic (2024) | Hugh Zhang, Jeff Da, Dean Lee, Vaughn Robinson, Catherine Wu, Will Song, et al. | CC BY 4.0 | arXiv 2405.00332 |
Share-alike obligation on two of them¶
reimers-2019-sentence-bert.pdf and thakur-2021-beir.pdf are CC BY-SA 4.0, not
CC BY. If you produce a derivative of either — an edited or adapted version — that
derivative must itself be CC BY-SA 4.0. Redistributing them unchanged, as here, carries no
such obligation, which is one reason they are mirrored unmodified.
What is NOT here, and why¶
Twelve further works cited by this repo are not redistributable and are therefore not
in this directory: ten arXiv papers under arxiv.org/licenses/nonexclusive-distrib/1.0
(which grants arXiv a distribution right and says nothing about third parties), plus
Järvelin & Kekäläinen (2002) behind the ACM Digital Library and Holm (1979) behind JSTOR.
README.md lists each with its licence and a link.
python docs/papers/fetch_papers.py --all downloads those for reading. They are gitignored
by name so they cannot be committed by accident.