Detecting Promotional Content in Wikipedia. - Shruti Bhosale; Heath Vinicombe; Raymond J. Mooney (EMNLP, 2013)

University of Texas at Austin KBP 2013 Slot Filling System: Bayesian Logic Programs for Textual Inference. - Yinon Bentor; Amelia Harrison; Shruti Bhosale; Raymond J. Mooney (TAC, 2013)

Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling. - Shruti Bhosale; Kyra Yee; Sergey Edunov; Michael Auli (WMT@EMNLP, 2020)

Beyond English-Centric Multilingual Machine Translation. - Angela Fan; Shruti Bhosale; Holger Schwenk; Zhiyi Ma; Ahmed El-Kishky; Siddharth Goyal; Mandeep Baines; Onur Celebi; Guillaume Wenzek; Vishrav Chaudhary; Naman Goyal 001; Tom Birch; et al. (CoRR, 2020)

BASE Layers: Simplifying Training of Large, Sparse Models. - Mike Lewis; Shruti Bhosale; Tim Dettmers; Naman Goyal 001; Luke Zettlemoyer (ICML, 2021)

Facebook AI's WMT21 News Translation Task Submission. - Chau Tran; Shruti Bhosale; James Cross 003; Philipp Koehn; Sergey Edunov; Angela Fan (WMT@EMNLP, 2021)

Facebook AI WMT21 News Translation Task Submission. - Chau Tran; Shruti Bhosale; James Cross 003; Philipp Koehn; Sergey Edunov; Angela Fan (CoRR, 2021)

Few-shot Learning with Multilingual Language Models. - Xi Victoria Lin; Todor Mihaylov; Mikel Artetxe; Tianlu Wang; Shuohui Chen; Daniel Simig; Myle Ott; Naman Goyal 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (CoRR, 2021)

Efficient Large Scale Language Modeling with Mixtures of Experts. - Mikel Artetxe; Shruti Bhosale; Naman Goyal 001; Todor Mihaylov; Myle Ott; Sam Shleifer; Xi Victoria Lin; Jingfei Du; Srinivasan Iyer 001; Ramakanth Pasunuru; Giri Anantharaman; Xian Li 003; et al. (CoRR, 2021)

Beyond English-Centric Multilingual Machine Translation. - Angela Fan; Shruti Bhosale; Holger Schwenk; Zhiyi Ma; Ahmed El-Kishky; Siddharth Goyal; Mandeep Baines; Onur Celebi; Guillaume Wenzek; Vishrav Chaudhary; Naman Goyal 001; Tom Birch; et al. (J. Mach. Learn. Res., 2021)

Efficient Large Scale Language Modeling with Mixtures of Experts. - Mikel Artetxe; Shruti Bhosale; Naman Goyal 001; Todor Mihaylov; Myle Ott; Sam Shleifer; Xi Victoria Lin; Jingfei Du; Srinivasan Iyer 001; Ramakanth Pasunuru; Giridharan Anantharaman; Xian Li 003; et al. (EMNLP, 2022)

Multilingual Machine Translation with Hyper-Adapters. - Christos Baziotis; Mikel Artetxe; James Cross 003; Shruti Bhosale (EMNLP, 2022)

Few-shot Learning with Multilingual Generative Language Models. - Xi Victoria Lin; Todor Mihaylov; Mikel Artetxe; Tianlu Wang; Shuohui Chen; Daniel Simig; Myle Ott; Naman Goyal 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (EMNLP, 2022)

Data Selection Curriculum for Neural Machine Translation. - Tasnim Mohiuddin; Philipp Koehn; Vishrav Chaudhary; James Cross 003; Shruti Bhosale; Shafiq R. Joty (EMNLP (Findings), 2022)

Tricks for Training Sparse Translation Models. - Dheeru Dua; Shruti Bhosale; Vedanuj Goswami; James Cross 003; Mike Lewis; Angela Fan (NAACL-HLT, 2022)

No Language Left Behind: Scaling Human-Centered Machine Translation. - Marta R. Costa-jussà; James Cross 003; Onur Çelebi; Maha Elbayad; Kenneth Heafield; Kevin Heffernan; Elahe Kalbassi; Janice Lam; Daniel Licht; Jean Maillard; Anna Y. Sun; Skyler Wang; et al. (CoRR, 2022)

Causes and Cures for Interference in Multilingual Translation. - Uri Shaham 002; Maha Elbayad; Vedanuj Goswami; Omer Levy; Shruti Bhosale (ACL (1), 2023)

Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation. - Maha Elbayad; Anna Y. Sun; Shruti Bhosale (ACL (Findings), 2023)

Revisiting Machine Translation for Cross-lingual Classification. - Mikel Artetxe; Vedanuj Goswami; Shruti Bhosale; Angela Fan; Luke Zettlemoyer (EMNLP, 2023)

Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference. - Haiyang Huang 003; Newsha Ardalani; Anna Y. Sun; Liu Ke 001; Hsien-Hsin S. Lee; Anjali Sridhar; Shruti Bhosale; Carole-Jean Wu; Benjamin Lee (CoRR, 2023)

Llama 2: Open Foundation and Fine-Tuned Chat Models. - Hugo Touvron; Louis Martin; Kevin Stone; Peter Albert; Amjad Almahairi; Yasmine Babaei; Nikolay Bashlykov; Soumya Batra; Prajjwal Bhargava; Shruti Bhosale; Dan Bikel; Lukas Blecher; et al. (CoRR, 2023)

Effective Long-Context Scaling of Foundation Models. - Wenhan Xiong; Jingyu Liu; Igor Molybog; Hejia Zhang; Prajjwal Bhargava; Rui Hou; Louis Martin; Rashi Rungta; Karthik Abinav Sankararaman; Barlas Oguz; Madian Khabsa; Han Fang; et al. (NAACL-HLT, 2024)

Toward Efficient Inference for Mixture of Experts. - Haiyang Huang 003; Newsha Ardalani; Anna Y. Sun; Liu Ke 001; Shruti Bhosale; Hsien-Hsin S. Lee; Carole-Jean Wu; Benjamin Lee (NeurIPS, 2024)

Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following. - Yun He; Di Jin; Chaoqi Wang; Chloe Bi; Karishma Mandyam; Hejia Zhang; Chen Zhu; Ning Li; Tengyu Xu; Hongjiang Lv; Shruti Bhosale; Chenguang Zhu 001; et al. (CoRR, 2024)