Gargi Ghosh

44 papers A* 9C 1Journal 28Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Byte Latent Transformer: Patches Scale Better Than Tokens.
ACL (1)
Artidoro Pagnoni, Ramakanth Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason E. Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srini Iyer
2025 J jnl
Continual Learning via Sparse Memory Finetuning.
CoRR
Jessy Lin, Luke Zettlemoyer, Gargi Ghosh, Wen-tau Yih, Aram H. Markosyan, Vincent-Pierre Berges, Barlas Oguz
2025 J jnl
FACTORY: A Challenging Human-Verified Prompt Set for Long-Form Factuality.
CoRR
Mingda Chen, Yang Li, Xilun Chen, Adina Williams, Gargi Ghosh, Scott Yih
2025 J jnl
HoneyBee: Data Recipes for Vision-Language Reasoners.
CoRR
Hritik Bansal, Devandra Singh Sachan, Kai-Wei Chang, Aditya Grover, Gargi Ghosh, Wen-tau Yih, Ramakanth Pasunuru
2025 — conf
Improving Factuality with Explicit Working Memory.
ACL (1)
Mingda Chen, Yang Li, Karthik Padthe, Rulin Shao, Alicia Yi Sun, Luke Zettlemoyer, Gargi Ghosh, Wen-tau Yih
2025 J jnl
Latent Speech-Text Transformer.
CoRR
Yen-Ju Lu, Yashesh Gaur, Wei Zhou, Benjamin Muller, Jesús Villalba, Najim Dehak, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Srinivasan Iyer, Duc Le
2025 J jnl
Learning Facts at Scale with Active Reading.
CoRR
Jessy Lin, Vincent-Pierre Berges, Xilun Chen, Wen-tau Yih, Gargi Ghosh, Barlas Oguz
2025 J jnl
Learning to Reason for Factuality.
CoRR
Xilun Chen, Ilia Kulikov, Vincent-Pierre Berges, Barlas Oguz, Rulin Shao, Gargi Ghosh, Jason Weston, Wen-tau Yih
2025 A* conf
Memory Layers at Scale.
ICML
Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh
2025 J jnl
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models.
Trans. Mach. Learn. Res.
Weixin Liang, Lili Yu, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
2025 J jnl
Text Quality-Based Pruning for Efficient Training of Language Models.
J. Data-centric Mach. Learn. Res.
Vasu Sharma, Karthik Padthe, Newsha Ardalani, Kushal Tirumala, Russell Howes, Hu Xu, Po-Yao Huang, Daniel Li Chen, Armen Aghajanyan, Gargi Ghosh, Luke Zettlemoyer
2024 A* conf
Altogether: Image Captioning via Re-aligning Alt-text.
EMNLP
Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-wen Li, Saining Xie, Christoph Feichtenhofer
2024 J jnl
Altogether: Image Captioning via Re-aligning Alt-text.
CoRR
Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-wen Li, Saining Xie, Christoph Feichtenhofer
2024 J jnl
Byte Latent Transformer: Patches Scale Better Than Tokens.
CoRR
Artidoro Pagnoni, Ram Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srinivasan Iyer
2024 A* conf
Demystifying CLIP Data.
ICLR
Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2024 J jnl
Memory Layers at Scale.
CoRR
Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh
2024 J jnl
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models.
CoRR
Weixin Liang, Lili Yu, Liang Luo, Srinivasan Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
2024 J jnl
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts.
CoRR
Xi Victoria Lin, Akshat Shrivastava, Liang Luo, Srinivasan Iyer, Mike Lewis, Gargi Ghosh, Luke Zettlemoyer, Armen Aghajanyan
2024 J jnl
Text Quality-Based Pruning for Efficient Training of Language Models.
CoRR
Vasu Sharma, Karthik Padthe, Newsha Ardalani, Kushal Tirumala, Russell Howes, Hu Xu, Po-Yao Huang, Shang-wen Li, Armen Aghajanyan, Gargi Ghosh, Luke Zettlemoyer
2023 — conf
ALERT: Adapt Language Models to Reasoning Tasks.
ACL (1)
Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissi, Siddharth Verma, Zhijing Jin, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz
2023 A* conf
CiT: Curation in Training for Effective Vision-Language Data.
ICCV
Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2023 J jnl
CiT: Curation in Training for Effective Vision-Language Data.
CoRR
Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2023 J jnl
Demystifying CLIP Data.
CoRR
Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2023 J jnl
FLAP: Fast Language-Audio Pre-training.
CoRR
Ching-Feng Yeh, Po-Yao Huang, Vasu Sharma, Shang-wen Li, Gargi Ghosh
2023 C conf
Flap: Fast Language-Audio Pre-Training.
ASRU
Ching-Feng Yeh, Po-Yao Huang, Vasu Sharma, Shang-wen Li, Gargi Ghosh
2023 A* conf
LIMA: Less Is More for Alignment.
NeurIPS
Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
2023 J jnl
LIMA: Less Is More for Alignment.
CoRR
Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
2023 A* conf
MAViL: Masked Audio-Video Learners.
NeurIPS
Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
2023 J jnl
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.
CoRR
Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan
2022 J jnl
ALERT: Adapting Language Models to Reasoning Tasks.
CoRR
Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissy, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz
2022 J jnl
CM3: A Causal Masked Multimodal Model of the Internet.
CoRR
Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer
2022 A* conf
HTLM: Hyper-Text Pre-Training and Prompting of Language Models.
ICLR
Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer
2022 J jnl
MAViL: Masked Audio-Video Learners.
CoRR
Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
2021 J jnl
HTLM: Hyper-Text Pre-Training and Prompting of Language Models.
CoRR
Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer
2021 — conf
Multi-Task Retrieval for Knowledge-Intensive Tasks.
ACL/IJCNLP (1)
Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
2021 J jnl
Multi-task Retrieval for Knowledge-Intensive Tasks.
CoRR
Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
2021 — conf
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding.
ACL/IJCNLP (Findings)
Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer
2021 J jnl
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding.
CoRR
Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer
2021 — conf
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding.
EMNLP (1)
Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer
2021 J jnl
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding.
CoRR
Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer
2020 A* conf
Pre-training via Paraphrasing.
NeurIPS
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer
2020 J jnl
Pre-training via Paraphrasing.
CoRR
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida I. Wang, Luke Zettlemoyer
2018 A* conf
Optimizing Query Evaluations Using Reinforcement Learning for Web Search.
SIGIR
Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary
2018 J jnl
Optimizing Query Evaluations using Reinforcement Learning for Web Search.
CoRR
Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary