Optimizing Query Evaluations Using Reinforcement Learning for Web Search. - Corby Rosset; Damien Jose; Gargi Ghosh; Bhaskar Mitra 001; Saurabh Tiwary (SIGIR, 2018)

Pre-training via Paraphrasing. - Mike Lewis; Marjan Ghazvininejad; Gargi Ghosh; Armen Aghajanyan; Sida Wang 001; Luke Zettlemoyer (NeurIPS, 2020)

Multi-Task Retrieval for Knowledge-Intensive Tasks. - Jean Maillard; Vladimir Karpukhin; Fabio Petroni; Wen-tau Yih; Barlas Oguz; Veselin Stoyanov; Gargi Ghosh (ACL/IJCNLP (1), 2021)

VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding. - Hu Xu 001; Gargi Ghosh; Po-Yao Huang 001; Prahal Arora; Masoumeh Aminzadeh; Christoph Feichtenhofer; Florian Metze; Luke Zettlemoyer (ACL/IJCNLP (Findings), 2021)

VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. - Hu Xu 001; Gargi Ghosh; Po-Yao Huang 001; Dmytro Okhonko; Armen Aghajanyan; Florian Metze; Luke Zettlemoyer; Christoph Feichtenhofer (EMNLP (1), 2021)

HTLM: Hyper-Text Pre-Training and Prompting of Language Models. - Armen Aghajanyan; Dmytro Okhonko; Mike Lewis; Mandar Joshi; Hu Xu 001; Gargi Ghosh; Luke Zettlemoyer (ICLR, 2022)

CM3: A Causal Masked Multimodal Model of the Internet. - Armen Aghajanyan; Bernie Huang; Candace Ross; Vladimir Karpukhin; Hu Xu 001; Naman Goyal 001; Dmytro Okhonko; Mandar Joshi; Gargi Ghosh; Mike Lewis; Luke Zettlemoyer (CoRR, 2022)

ALERT: Adapting Language Models to Reasoning Tasks. - Ping Yu; Tianlu Wang; Olga Golovneva; Badr AlKhamissy; Gargi Ghosh; Mona T. Diab; Asli Celikyilmaz (CoRR, 2022)

ALERT: Adapt Language Models to Reasoning Tasks. - Ping Yu; Tianlu Wang; Olga Golovneva; Badr AlKhamissi; Siddharth Verma; Zhijing Jin 001; Gargi Ghosh; Mona T. Diab; Asli Celikyilmaz (ACL (1), 2023)

Flap: Fast Language-Audio Pre-Training. - Ching-Feng Yeh; Po-Yao Huang 001; Vasu Sharma; Shang-Wen Li 001; Gargi Ghosh (ASRU, 2023)

CiT: Curation in Training for Effective Vision-Language Data. - Hu Xu 001; Saining Xie; Po-Yao Huang 001; Licheng Yu; Russell Howes; Gargi Ghosh; Luke Zettlemoyer; Christoph Feichtenhofer (ICCV, 2023)

MAViL: Masked Audio-Video Learners. - Po-Yao Huang 001; Vasu Sharma; Hu Xu 001; Chaitanya Ryali; Haoqi Fan 001; Yanghao Li; Shang-Wen Li 001; Gargi Ghosh; Jitendra Malik; Christoph Feichtenhofer (NeurIPS, 2023)

LIMA: Less Is More for Alignment. - Chunting Zhou; Pengfei Liu; Puxin Xu; Srinivasan Iyer 001; Jiao Sun; Yuning Mao; Xuezhe Ma; Avia Efrat; Ping Yu; Lili Yu; Susan Zhang; Gargi Ghosh; et al. (NeurIPS, 2023)

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. - Lili Yu; Bowen Shi; Ramakanth Pasunuru; Benjamin Muller; Olga Golovneva; Tianlu Wang; Arun Babu; Binh Tang; Brian Karrer; Shelly Sheynin; Candace Ross; Adam Polyak; et al. (CoRR, 2023)

Altogether: Image Captioning via Re-aligning Alt-text. - Hu Xu 001; Po-Yao Huang 001; Xiaoqing Ellen Tan; Ching-Feng Yeh; Jacob Kahn; Christine Jou; Gargi Ghosh; Omer Levy; Luke Zettlemoyer; Wen-tau Yih; Shang-Wen Li 001; Saining Xie; et al. (EMNLP, 2024)

Demystifying CLIP Data. - Hu Xu 001; Saining Xie; Xiaoqing Ellen Tan; Po-Yao Huang 001; Russell Howes; Vasu Sharma; Shang-Wen Li 001; Gargi Ghosh; Luke Zettlemoyer; Christoph Feichtenhofer (ICLR, 2024)

Text Quality-Based Pruning for Efficient Training of Language Models. - Vasu Sharma; Karthik Padthe; Newsha Ardalani; Kushal Tirumala; Russell Howes; Hu Xu 001; Po-Yao Huang 001; Shang-Wen Li 001; Armen Aghajanyan; Gargi Ghosh; Luke Zettlemoyer (CoRR, 2024)

MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts. - Xi Victoria Lin; Akshat Shrivastava; Liang Luo; Srinivasan Iyer 001; Mike Lewis; Gargi Ghosh; Luke Zettlemoyer; Armen Aghajanyan (CoRR, 2024)

Memory Layers at Scale. - Vincent-Pierre Berges; Barlas Oguz; Daniel Haziza; Wen-tau Yih; Luke Zettlemoyer; Gargi Ghosh (CoRR, 2024)

Improving Factuality with Explicit Working Memory. - Mingda Chen; Yang Li; Karthik Padthe; Rulin Shao; Alicia Yi Sun; Luke Zettlemoyer; Gargi Ghosh; Wen-tau Yih (ACL (1), 2025)

Byte Latent Transformer: Patches Scale Better Than Tokens. - Artidoro Pagnoni; Ramakanth Pasunuru; Pedro Rodríguez 001; John Nguyen; Benjamin Muller; Margaret Li; Chunting Zhou; Lili Yu; Jason E. Weston; Luke Zettlemoyer; Gargi Ghosh; Mike Lewis; et al. (ACL (1), 2025)

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models. - Weixin Liang; Lili Yu; Liang Luo; Srini Iyer 001; Ning Dong; Chunting Zhou; Gargi Ghosh; Mike Lewis; Wen-tau Yih; Luke Zettlemoyer; Xi Victoria Lin (Trans. Mach. Learn. Res., 2025)

FACTORY: A Challenging Human-Verified Prompt Set for Long-Form Factuality. - Mingda Chen; Yang Li; Xilun Chen 002; Adina Williams; Gargi Ghosh; Scott Yih (CoRR, 2025)

Learning to Reason for Factuality. - Xilun Chen 002; Ilia Kulikov; Vincent-Pierre Berges; Barlas Oguz; Rulin Shao; Gargi Ghosh; Jason Weston; Wen-tau Yih (CoRR, 2025)

Learning Facts at Scale with Active Reading. - Jessy Lin; Vincent-Pierre Berges; Xilun Chen 002; Wen-Tau Yih; Gargi Ghosh; Barlas Oguz (CoRR, 2025)