Vaibhav Srivastav

According to our database, Vaibhav Srivastav authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SmolVLM: Redefining small and efficient multimodal models.

Andrés Marafioti, Orr Zohar, Miquel Farré, Merve Noyan, Elie Bakouch, Pedro Cuenca, Cyril Zakka, Loubna Ben Allal, Anton Lozhkov, Nouamane Tazi, Vaibhav Srivastav, Joshua Lochner, Hugo Larcher, Mathieu Morlon, Lewis Tunstall, Leandro von Werra, Thomas Wolf

CoRR, April, 2025

ESPnet-SDS: Unified Toolkit and Demo for Spoken Dialogue Systems.

Siddhant Arora, Yifan Peng, Jiatong Shi, Jinchuan Tian, William Chen, Shikhar Bharadwaj, Hayato Futami, Yosuke Kashiwagi, Emiru Tsunoo, Shuichiro Shimizu, Vaibhav Srivastav, Shinji Watanabe

CoRR, March, 2025

SmolLM2: When Smol Goes Big - Data-Centric Training of a Small Language Model.

Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, Gabriel Martín Blázquez, Guilherme Penedo, Lewis Tunstall, Andrés Marafioti, Hynek Kydlícek, Agustín Piqueres Lajarín, Vaibhav Srivastav, Joshua Lochner, Caleb Fahlgren, Xuan-Son Nguyen, Clémentine Fourrier, Ben Burtenshaw, Hugo Larcher, Haojun Zhao, Cyril Zakka, Mathieu Morlon, Colin Raffel, Leandro von Werra, Thomas Wolf

CoRR, February, 2025

2024

Lina-Speech: Gated Linear Attention is a Fast and Parameter-Efficient Learner for text-to-speech synthesis.

Théodor Lemerle, Harrison Vanderbyl, Vaibhav Srivastav, Nicolas Obin, Axel Roebel

CoRR, 2024

ESPnet-EZ: Python-Only ESPnet For Easy Fine-Tuning And Integration.

Masao Someki, Kwanghee Choi, Siddhant Arora, William Chen, Samuele Cornell, Jionghao Han, Yifan Peng, Jiatong Shi, Vaibhav Srivastav, Shinji Watanabe

Proceedings of the IEEE Spoken Language Technology Workshop, 2024

Examining the Use of AI-Driven Systems to Enhance Automated Data Science.

G. Suruchi, Vaibhav Srivastav, Dhananjay Yadav, G. Shivam, Madhur Grover, P. Sharmila

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Using Deep Learning to Unlock Data Science Insights: An Exploration of Techniques.

Bhavuk Samrat, Megha Pandey, Dushyanth V. Babu R, R. Elackiya, Omkaresh S. Kulkarni, Vaibhav Srivastav

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2022

Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference.

Emils Kadikis, Vaibhav Srivastav, Roman Klinger

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022