Virginia Adams

14 papers A* 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models. CoRR Hengyu Fu, Baihe Huang, Virginia Adams, Charles Wang, Venkat Srinivasan, Jiantao Jiao
2024	—	`conf`	HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. NAACL-HLT Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev
2024	A*	`conf`	RedPajama: an Open Dataset for Training Large Language Models. NeurIPS Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
2024	J	`jnl`	RedPajama: an Open Dataset for Training Large Language Models. CoRR Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
2023	J	`jnl`	Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII. Database J. Biol. Databases Curation Robert Leaman, Rezarta Islamaj, Virginia Adams, Mohammed Alliheedi, João Rafael Almeida, Rui Antunes, Robert Bevan, Yung-Chun Chang, Arslan Erdengasileng, Matthew Hodgskiss, Ryuki Ida, Hyunjae Kim, Keqiao Li, Robert E. Mercer, Lukrécia Mertová, Ghadeer Mobasher, Hoo-Chang Shin, Mujeen Sung, Tomoki Tsujimura, Wen-Chao Yeh, Zhiyong Lu
2023	J	`jnl`	HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. CoRR Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev
2022	A*	`conf`	Evaluating Parameter Efficient Learning for Generation. EMNLP Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro
2022	J	`jnl`	Evaluating Parameter Efficient Learning for Generation. CoRR Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan J. Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro
2022	J	`jnl`	Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation. CoRR Virginia Adams, Sandeep Subramanian, Mike Chrzanowski, Oleksii Hrinchuk, Oleksii Kuchaiev
2021	J	`jnl`	Automatic Extraction of Medication Names in Tweets as Named Entity Recognition. CoRR Carol Anderson, Bo Liu, Anas Abidin, Hoo-Chang Shin, Virginia Adams
2021	J	`jnl`	Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches. CoRR Virginia Adams, Hoo-Chang Shin, Carol Anderson, Bo Liu, Anas Abidin
2021	J	`jnl`	NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21. CoRR Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams, Oleksii Kuchaiev
2021	—	`conf`	NVIDIA NeMo's Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21. WMT@EMNLP Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams, Oleksii Kuchaiev
2021	J	`jnl`	Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models. CoRR Virginia Adams, Hoo-Chang Shin, Carol Anderson, Bo Liu, Anas Abidin