4–16359, 2022.
doi: 10.52202/068431-1189.
URL
https://proceedings.neurips.cc/paper_files/paper/2022/hash/67d57c32e20fd0a7a302cb81d36e40d5-Abstract-Conference.html.
Défossez et al. (2023)
Alexandre Défossez, Jade Copet, Gabriel Synnaeve, and Yossi Adi.
High fidelity neural audio compression.
Transactions on Machine Learning Research, 2023.
URL https://openreview.net/forum?id=ivCd8z8zR2.
Deitke et al. (2025)
Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung
Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen
Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, et al.
Molmo and PixMo: Open weights and open data for state-of-the-art
vision-language models.
In Proceedings of the IEEE/CVF Conference on Computer Vision
and Pattern Recognition (CVPR), pp. 91–104, 2025.
doi: 10.1109/cvpr52734.2025.00018.
URL https://ieeexplore.ieee.org/document/11092508.
Dekoninck et al. (2026)
Jasper Dekoninck, Nikola Jovanović, Tim Gehrunger, Kári
Rögnvaldsson, Ivo Petrov, Chenhao Sun, and Martin Vechev.
Beyond benchmarks: MathArena as an evaluation platform for
mathematics with LLMs.
In AI for Math Workshop (AI4Math @ ICML), 2026.
URL https://openreview.net/forum?id=DmPE4byHuN.
Deshpande et al. (2025)
Kaustubh Deshpande, Ved Sirdeshmukh, Johannes Baptist Mols, Lifeng Jin,
Ed-Yeremai Hernandez-Cardona, Dean Lee, Jeremy Kritz, Willow E. Primack,
Summer Yue, and Chen Xing.
MultiChallenge: A realistic multi-turn conversation evaluation
benchmark challenging to frontier LLMs.
In Findings of the Association for Computational Linguistics:
ACL, pp. 18632–18702, 2025.
doi: 10.18653/v1/2025.findings-acl.958.
URL https://aclanthology.org/2025.findings-acl.958/.
Deutsch et al. (2025)
Daniel Deutsch, Eleftheria Briakou, Isaac Rayburn Caswell, Mara Finkelstein,
Rebecca Galor, Juraj Juraska, Geza Kovacs, Alison Lui, Ricardo Rei, Jason
Riesa, Shruti Rijhwani, Parker Riley, Elizabeth Salesky, Firas Trabelsi,
Stephanie Winkler, et al.
WMT24++: Expanding the language coverage of WMT24 to 55 languages
& dialects.
In Findings of the Association for Computational Linguistics:
ACL, pp. 12257–12284, 2025.
doi: 10.18653/v1/2025.findings-acl.634.
URL https://aclanthology.org/2025.findings-acl.634/.
Ding et al. (2024)
Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan
Roth, and Stefano Soatto.
Fewer truncations improve language modeling.
In International Conference on Machine Learning (ICML), pp. 11030–11048, 2024.
URL https://proceedings.mlr.press/v235/ding24f.html.
Ding et al. (2023)
Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Shengding Hu, Zhiyuan Liu, Maosong
Sun, and Bowen Zhou.
Enhancing chat language models by scaling high-quality instructional
conversations.
In Proceedings of the Conference on Empirical Methods in
Natural Language Processing (EMNLP), pp. 3029–3051, 2023.
doi: 10.18653/v1/2023.emnlp-main.183.
URL https://aclanthology.org/2023.emnlp-main.183/.
Du et al. (2026)
Yuwen Du, Rui Ye, Shuo Tang, Xinyu Zhu, Yijun Lu, Yuzhu Cai, and Siheng Chen.
OpenSeeker: Democratizing frontier search agents by fully
open-sourcing training data.
In Conference on Language Modeling (COLM), 2026.
URL https://openreview.net/forum?id=eb6JhjKo8B.
Dua et al. (2019)
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, and
Matt Gardner.
DROP: A reading comprehension benchmark requiring discrete
reasoning over paragraphs.
In Proceedings of the Conference of the North American Chapter
of the Association for Computational Linguistics: Human Language Technologies
(NAACL), pp. 2368–2378, 2019.
doi: 10.18653/v1/n19-1246.
URL https://aclanthology.org/N19-1246/.
Duan et al. (2024)
Haodong Duan, Junming Yang, Yuxuan Qiao, Xinyu Fang, Lin Chen, Yuan Liu, Xiaoyi
Dong, Yuhang Zang, Pan Zhang, Jiaqi Wang, Dahua Lin, and Kai Chen.
VLMEvalKit: An open-source toolkit for evaluating large
multi-modality models.
In Proceedings of the ACM International Conference on
Multimedia (MM), pp. 11198–11201