Rocktim Jyoti Das
I am a Research Associate II at MBZUAI in Abu Dhabi working on reasoning and planning under the supervison of Prof. Ivan Laptev and Prof. Preslav Nakov. I am interested in developing agents that reason, plan and interact with the environment to solve complex tasks using the world knowledge acquired using internet scale data.
I completed my undergraduate studies at the Indian Institute of Technology, Delhi, which set the foundation for my academic journey. Subsequently, I had the incredible opportunity to spend a year at the DAIR Lab, IIT Delhi as a Project Scientist under the supervision of Prof. Mausam. As a researcher at DAIR lab, I focused on Task-Oriented Dialog Systems and Conversation based Medical Diagnosis.
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News
- 11/2024 Attending EMNLP, 2024 in Miami, Florida.
- 10/2024: The LLaMA-3-Nanda-10B-Chat model is released, establishing itself as the leading open-sourced bilingual Hindi-English model.
- 09/2024 3 papers accepted in EMNLP, 2024.
- 09/2024 Joined Embodied Perception Group at MBZUAI under the supervision of Prof. Ivan Laptev.
- 08/2024 Attending ACL, 2024 in Thailand.
- 05/2024 Our paper EXAMS-V is accepted in ACL main, 2024.
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Selected Research
* denotes joint first authors
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MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation
Harsh Singh*,
Rocktim Jyoti Das*,
Mingfei Han,
Preslav Nakov,
Ivan Laptev,
submitted to ICRA, 2025
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Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems
Vishal Vivek Saley,
Rocktim Jyoti Das,
Dinesh Raghu,
Mausam,
accepted in EMNLP main, 2024
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MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations
Vishal Saley,
Goonjan Saha,
Rocktim Jyoti Das,
Dinesh Raghu,
Mausam,
accepted in EMNLP main, 2024
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EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models
Rocktim Jyoti Das,
Simeon Emilov Hristov,
Haonan Li,
Dimitar Dimitrov,
Ivan Koychev,
Preslav Nakov,
accepted in ACL main, 2024
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Exploring Distributional Shifts in Large Language Models for Code Analysis
Shushan Arakelyan,
Rocktim Jyoti Das,
Yi Mao,
Xiang Ren,
accepted in EMNLP main, 2023
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DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies
Vishal Saley,
Rocktim Jyoti Das,
Dinesh Raghu,
Mausam,
accepted in ACL Findings, 2023
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Open-Sourced Project
Nanda is the leading open-sourced Hindi bilingual model for generation and reasoning, surpassing current models on safety benchmarks. Although our model is optimized for Devanagari Hindi, it also seamlessly supports Romanized and code-mixed Hindi, making it highly versatile for real-world applications. Check out the paper for more details about training, evaluation!
📄 Paper link
Give our model a try!
Download LLaMA-3-Nanda-10B weights from Hugging Face and see its capabilities in action:
💾 Model weights
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