Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation. - Pratyusha Sharma; Lekha Mohan; Lerrel Pinto; Abhinav Gupta 001 (CoRL, 2018)

Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller. - Pratyusha Sharma; Deepak Pathak; Abhinav Gupta 001 (NeurIPS, 2019)

Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals. - Yiyue Luo; Yunzhu Li; Michael Foshey; Wan Shou; Pratyusha Sharma; Tomás Palacios; Antonio Torralba 001; Wojciech Matusik (CVPR, 2021)

Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales. - Jacob Andreas; Gasper Begus; Michael M. Bronstein; Roee Diamant; Denley Delaney; Shane Gero; Shafi Goldwasser; David F. Gruber; Sarah de Haas; Peter Malkin; Roger Payne; Giovanni Petri; et al. (CoRR, 2021)

Skill Induction and Planning with Latent Language. - Pratyusha Sharma; Antonio Torralba 001; Jacob Andreas (ACL (1), 2022)

Correcting Robot Plans with Natural Language Feedback. - Pratyusha Sharma; Balakumar Sundaralingam; Valts Blukis; Chris Paxton 001; Tucker Hermans; Antonio Torralba 001; Jacob Andreas; Dieter Fox (Robotics: Science and Systems, 2022)

Grokking of Hierarchical Structure in Vanilla Transformers. - Shikhar Murty; Pratyusha Sharma; Jacob Andreas; Christopher D. Manning (ACL (2), 2023)

Pseudointelligence: A Unifying Lens on Language Model Evaluation. - Shikhar Murty; Orr Paradise; Pratyusha Sharma (EMNLP (Findings), 2023)

Pushdown Layers: Encoding Recursive Structure in Transformer Language Models. - Shikhar Murty; Pratyusha Sharma; Jacob Andreas; Christopher D. Manning (EMNLP, 2023)

Characterizing intrinsic compositionality in transformers with Tree Projections. - Shikhar Murty; Pratyusha Sharma; Jacob Andreas; Christopher D. Manning (ICLR, 2023)

LaMPP: Language Models as Probabilistic Priors for Perception and Action. - Belinda Z. Li; William Chen; Pratyusha Sharma; Jacob Andreas (CoRR, 2023)

Pseudointelligence: A Unifying Framework for Language Model Evaluation. - Shikhar Murty; Orr Paradise; Pratyusha Sharma (CoRR, 2023)

Learning adaptive planning representations with natural language guidance. - Lionel Wong; Jiayuan Mao; Pratyusha Sharma; Zachary S. Siegel; Jiahai Feng; Noa Korneev; Joshua B. Tenenbaum; Jacob Andreas (CoRR, 2023)

A Vision Check-up for Language Models. - Pratyusha Sharma; Tamar Rott Shaham; Manel Baradad; Adrián Rodríuez-Muñoz; Shivam Duggal; Phillip Isola; Antonio Torralba 001; Stephanie Fu (CVPR, 2024)

The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction. - Pratyusha Sharma; Jordan T. Ash; Dipendra Misra (ICLR, 2024)

Learning Grounded Action Abstractions from Language. - Lionel Wong; Jiayuan Mao; Pratyusha Sharma; Zachary S. Siegel; Jiahai Feng; Noa Korneev; Joshua B. Tenenbaum; Jacob Andreas (ICLR, 2024)

Language-guided Skill Learning with Temporal Variational Inference. - Haotian Fu; Pratyusha Sharma; Elias Stengel-Eskin; George Konidaris 001; Nicolas Le Roux; Marc-Alexandre Côté; Xingdi Yuan (ICML, 2024)

A Vision Check-up for Language Models. - Pratyusha Sharma; Tamar Rott Shaham; Manel Baradad; Stephanie Fu; Adrián Rodríguez-Muñoz; Shivam Duggal; Phillip Isola; Antonio Torralba 001 (CoRR, 2024)

LoRA vs Full Fine-tuning: An Illusion of Equivalence. - Reece Shuttleworth; Jacob Andreas; Antonio Torralba 001; Pratyusha Sharma (CoRR, 2024)