Empirical Evaluation of Active Learning Techniques for Neural MT. - Xiangkai Zeng; Sarthak Garg; Rajen Chatterjee; Udhyakumar Nallasamy; Matthias Paulik (DeepLo@EMNLP-IJCNLP, 2019)

Learning to Relate from Captions and Bounding Boxes. - Sarthak Garg; Joel Ruben Antony Moniz; Anshu Aviral; Priyatham Bollimpalli (ACL (1), 2019)

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces. - Barun Patra; Joel Ruben Antony Moniz; Sarthak Garg; Matthew R. Gormley; Graham Neubig (ACL (1), 2019)

Jointly Learning to Align and Translate with Transformer Models. - Sarthak Garg; Stephan Peitz; Udhyakumar Nallasamy; Matthias Paulik (EMNLP/IJCNLP (1), 2019)

Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning. - Gence Ozer; Sarthak Garg; Neda Davoudi; Gabrielle Poerwawinata; Matthias Maiterth; Alessio Netti; Daniele Tafani (Euro-Par Workshops, 2019)

Compression and Localization in Reinforcement Learning for ATARI Games. - Joel Ruben Antony Moniz; Barun Patra; Sarthak Garg (CoRR, 2019)

Efficient Inference For Neural Machine Translation. - Yi-Te Hsu; Sarthak Garg; Yi-Hsiu Liao; Ilya Chatsviorkin (SustaiNLP@EMNLP, 2020)

Ensemble Learning Classification for Medical Diagnosis. - Pratyush Lohumi; Sarthak Garg; Taran Pal Singh; Madan Gopal (ICCCS, 2020)

Unconditional Scene Graph Generation. - Sarthak Garg; Helisa Dhamo; Azade Farshad; Sabrina Musatian; Nassir Navab; Federico Tombari (ICCV, 2021)

Speech Is More than Words: Do Speech-to-Text Translation Systems Leverage Prosody? - Ioannis Tsiamas; Matthias Sperber; Andrew Finch; Sarthak Garg (WMT, 2024)

Generating Gender Alternatives in Machine Translation. - Sarthak Garg; Mozhdeh Gheini; Clara Emmanuel; Tatiana Likhomanenko; Qin Gao; Matthias Paulik (CoRR, 2024)

Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization. - Zilu Tang; Rajen Chatterjee; Sarthak Garg (NAACL (Long Papers), 2025)