Recall Traces: Backtracking Models for Efficient Reinforcement Learning. - Anirudh Goyal; Philemon Brakel; William Fedus; Soumye Singhal; Timothy P. Lillicrap; Sergey Levine; Hugo Larochelle; Yoshua Bengio (ICLR (Poster), 2019)

Supervised Seeded Iterated Learning for Interactive Language Learning. - Yuchen Lu; Soumye Singhal; Florian Strub; Olivier Pietquin; Aaron C. Courville (EMNLP (1), 2020)

Countering Language Drift with Seeded Iterated Learning. - Yuchen Lu; Soumye Singhal; Florian Strub; Aaron C. Courville; Olivier Pietquin (ICML, 2020)

Jointly Trained Image and Video Generation using Residual Vectors. - Yatin Dandi; Aniket Das; Soumye Singhal; Vinay P. Namboodiri; Piyush Rai (WACV, 2020)

Multi-label Iterated Learning for Image Classification with Label Ambiguity. - Sai Rajeswar; Pau Rodríguez; Soumye Singhal; David Vázquez 001; Aaron C. Courville (CVPR, 2022)

Effective Backdoor Mitigation Depends on the Pre-training Objective. - Sahil Verma; Gantavya Bhatt; Avi Schwarzschild; Soumye Singhal; Arnav Mohanty Das; Chirag Shah 001; John P. Dickerson; Jeff A. Bilmes (CoRR, 2023)

Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective. - Sahil Verma; Gantavya Bhatt; Avi Schwarzschild; Soumye Singhal; Arnav Mohanty Das; Chirag Shah 001; John P. Dickerson; Pin-Yu Chen; Jeff Bilmes (Trans. Mach. Learn. Res., 2025)

Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment. - Shengyang Sun; Yian Zhang; Alexander Bukharin; David Mosallanezhad; Jiaqi Zeng; Soumye Singhal; Gerald Shen; Adithya Renduchintala; Tugrul Konuk; Yi Dong; Zhilin Wang; Dmitry Chichkov; et al. (CoRR, 2025)

Adversarial Training of Reward Models. - Alexander Bukharin; Haifeng Qian; Shengyang Sun; Adithya Renduchintala; Soumye Singhal; Zhilin Wang; Oleksii Kuchaiev; Olivier Delalleau; Tuo Zhao (CoRR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)