Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference. - Emils Kadikis; Vaibhav Srivastav; Roman Klinger (NAACL-HLT, 2022)

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 (ICCCNT, 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 (ICCCNT, 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 003; Jiatong Shi; Vaibhav Srivastav; Shinji Watanabe 001 (SLT, 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)

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; et al. (CoRR, 2025)

ESPnet-SDS: Unified Toolkit and Demo for Spoken Dialogue Systems. - Siddhant Arora; Yifan Peng 003; Jiatong Shi; Jinchuan Tian; William Chen; Shikhar Bharadwaj; Hayato Futami; Yosuke Kashiwagi; Emiru Tsunoo; Shuichiro Shimizu; Vaibhav Srivastav; Shinji Watanabe 001 (CoRR, 2025)

SmolVLM: Redefining small and efficient multimodal models. - Andrés Marafioti; Orr Zohar; Miquel Farré; Merve Noyan; Elie Bakouch; Pedro Cuenca 002; Cyril Zakka; Loubna Ben Allal; Anton Lozhkov; Nouamane Tazi; Vaibhav Srivastav; Joshua Lochner; et al. (CoRR, 2025)