Nikhil Pinnaparaju

15 papers B 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Block Cascading: Training Free Acceleration of Block-Causal Video Models.
CoRR
Hmrishav Bandyopadhyay, Nikhil Pinnaparaju, Rahim Entezari, Jim Scott, Yi-Zhe Song, Varun Jampani
2025 J jnl
Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning.
CoRR
Joseph Suárez, Kyoung Whan Choe, David Bloomin, Jianming Gao, Yunkun Li, Yao Feng, Saidinesh Pola, Kun Zhang, Yonghui Zhu, Nikhil Pinnaparaju, Hao Xiang Li, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Kirsty You, Bo Wu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Louis Castricato, Xiaolong Zhu, Phillip Isola
2024 J jnl
Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic.
CoRR
Zaid Alyafeai, Michael Pieler, Hannah Teufel, Jonathan Tow, Marco Bellagente, Duy Phung, Nikhil Pinnaparaju, Reshinth Adithyan, Paulo Rocha, Maksym Zhuravinskyi, Carlos Riquelme
2024 — conf
Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training.
ENLSP
Michael Pieler, Marco Bellagente, Hannah Teufel, Duy Phung, Nathan Cooper, Jonathan Tow, Paulo Rocha, Reshinth Adithyan, Zaid Alyafeai, Nikhil Pinnaparaju, Maksym Zhuravinskyi, Carlos Riquelme
2024 J jnl
Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training.
CoRR
Michael Pieler, Marco Bellagente, Hannah Teufel, Duy Phung, Nathan Cooper, Jonathan Tow, Paulo Rocha, Reshinth Adithyan, Zaid Alyafeai, Nikhil Pinnaparaju, Maksym Zhuravinskyi, Carlos Riquelme
2024 J jnl
Stable Code Technical Report.
CoRR
Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, Jonathan Tow, James Baicoianu, Ashish Datta, Maksym Zhuravinskyi, Dakota Mahan, Marco Bellagente, Carlos Riquelme, Nathan Cooper
2024 J jnl
Stable LM 2 1.6B Technical Report.
CoRR
Marco Bellagente, Jonathan Tow, Dakota Mahan, Duy Phung, Maksym Zhuravinskyi, Reshinth Adithyan, James Baicoianu, Ben Brooks, Nathan Cooper, Ashish Datta, Meng Lee, Emad Mostaque, Michael Pieler, Nikhil Pinnaparaju, Paulo Rocha, Harry Saini, Hannah Teufel, Niccoló Zanichelli, Carlos Riquelme
2023 J jnl
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning.
CoRR
Joseph Suárez, Phillip Isola, Kyoung Whan Choe, David Bloomin, Hao Xiang Li, Nikhil Pinnaparaju, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
2021 — conf
Addressing Issues in Training Neural Extractive Summarisation Models.
PReMI
Ramkishore Saravanan, Nikhil Pinnaparaju, Vasudeva Varma
2021 B conf
SCATE: shared cross attention transformer encoders for multimodal fake news detection.
ASONAM
Tanmay Sachan, Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma
2021 J jnl
Summaformers @ LaySumm 20, LongSumm 20.
CoRR
Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma
2021 — conf
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PAKDD (1)
Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma
2020 — conf
Identifying Fake News Spreaders in Social Media.
CLEF (Working Notes)
Nikhil Pinnaparaju, Vijayasaradhi Indurthi, Vasudeva Varma
2020 — conf
Semantic Textual Similarity of Sentences with Emojis.
WWW (Companion Volume)
Alok Debnath, Nikhil Pinnaparaju, Manish Shrivastava, Vasudeva Varma, Isabelle Augenstein
2020 — conf
Summaformers @ LaySumm 20, LongSumm 20.
SDP@EMNLP
Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma