Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Kiseleva, Julia"'
Autor:
Mohanty, Shrestha, Arabzadeh, Negar, Tupini, Andrea, Sun, Yuxuan, Skrynnik, Alexey, Zholus, Artem, Côté, Marc-Alexandre, Kiseleva, Julia
Seamless interaction between AI agents and humans using natural language remains a key goal in AI research. This paper addresses the challenges of developing interactive agents capable of understanding and executing grounded natural language instruct
Externí odkaz:
http://arxiv.org/abs/2407.08898
Autor:
Arabzadeh, Negar, Huo, Siqing, Mehta, Nikhil, Wu, Qinqyun, Wang, Chi, Awadallah, Ahmed, Clarke, Charles L. A., Kiseleva, Julia
The rapid development of Large Language Models (LLMs) has led to a surge in applications that facilitate collaboration among multiple agents, assisting humans in their daily tasks. However, a significant gap remains in assessing to what extent LLM-po
Externí odkaz:
http://arxiv.org/abs/2405.02178
Autor:
Arabzadeh, Negar, Kiseleva, Julia, Wu, Qingyun, Wang, Chi, Awadallah, Ahmed, Dibia, Victor, Fourney, Adam, Clarke, Charles
The rapid development in the field of Large Language Models (LLMs) has led to a surge in applications that facilitate collaboration among multiple agents to assist humans in their daily tasks. However, a significant gap remains in assessing whether L
Externí odkaz:
http://arxiv.org/abs/2402.09015
Autor:
Mohanty, Shrestha, Arabzadeh, Negar, Kiseleva, Julia, Zholus, Artem, Teruel, Milagro, Awadallah, Ahmed, Sun, Yuxuan, Srinet, Kavya, Szlam, Arthur
Human intelligence's adaptability is remarkable, allowing us to adjust to new tasks and multi-modal environments swiftly. This skill is evident from a young age as we acquire new abilities and solve problems by imitating others or following natural l
Externí odkaz:
http://arxiv.org/abs/2305.10783
Autor:
Mehta, Nikhil, Teruel, Milagro, Sanz, Patricio Figueroa, Deng, Xin, Awadallah, Ahmed Hassan, Kiseleva, Julia
Many approaches to Natural Language Processing (NLP) tasks often treat them as single-step problems, where an agent receives an instruction, executes it, and is evaluated based on the final outcome. However, human language is inherently interactive,
Externí odkaz:
http://arxiv.org/abs/2304.10750
Autor:
Mohanty, Shrestha, Arabzadeh, Negar, Teruel, Milagro, Sun, Yuxuan, Zholus, Artem, Skrynnik, Alexey, Burtsev, Mikhail, Srinet, Kavya, Panov, Aleksandr, Szlam, Arthur, Côté, Marc-Alexandre, Kiseleva, Julia
Publikováno v:
Interactive Learning for Natural Language Processing NeurIPS 2022 Workshop
Human intelligence can remarkably adapt quickly to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new tasks either by imitating the behavior of others or by following provided natural lang
Externí odkaz:
http://arxiv.org/abs/2211.06552
Autor:
Skrynnik, Alexey, Volovikova, Zoya, Côté, Marc-Alexandre, Voronov, Anton, Zholus, Artem, Arabzadeh, Negar, Mohanty, Shrestha, Teruel, Milagro, Awadallah, Ahmed, Panov, Aleksandr, Burtsev, Mikhail, Kiseleva, Julia
The adoption of pre-trained language models to generate action plans for embodied agents is a promising research strategy. However, execution of instructions in real or simulated environments requires verification of the feasibility of actions as wel
Externí odkaz:
http://arxiv.org/abs/2211.00688
Autor:
Zholus, Artem, Skrynnik, Alexey, Mohanty, Shrestha, Volovikova, Zoya, Kiseleva, Julia, Szlam, Artur, Coté, Marc-Alexandre, Panov, Aleksandr I.
We present the IGLU Gridworld: a reinforcement learning environment for building and evaluating language conditioned embodied agents in a scalable way. The environment features visual agent embodiment, interactive learning through collaboration, lang
Externí odkaz:
http://arxiv.org/abs/2206.00142
Autor:
Kiseleva, Julia, Skrynnik, Alexey, Zholus, Artem, Mohanty, Shrestha, Arabzadeh, Negar, Côté, Marc-Alexandre, Aliannejadi, Mohammad, Teruel, Milagro, Li, Ziming, Burtsev, Mikhail, ter Hoeve, Maartje, Volovikova, Zoya, Panov, Aleksandr, Sun, Yuxuan, Srinet, Kavya, Szlam, Arthur, Awadallah, Ahmed
Human intelligence has the remarkable ability to adapt to new tasks and environments quickly. Starting from a very young age, humans acquire new skills and learn how to solve new tasks either by imitating the behavior of others or by following provid
Externí odkaz:
http://arxiv.org/abs/2205.13771
Autor:
Kiseleva, Julia, Li, Ziming, Aliannejadi, Mohammad, Mohanty, Shrestha, ter Hoeve, Maartje, Burtsev, Mikhail, Skrynnik, Alexey, Zholus, Artem, Panov, Aleksandr, Srinet, Kavya, Szlam, Arthur, Sun, Yuxuan, Côté, Marc-Alexandre, Hofmann, Katja, Awadallah, Ahmed, Abdrazakov, Linar, Churin, Igor, Manggala, Putra, Naszadi, Kata, van der Meer, Michiel, Kim, Taewoon
Publikováno v:
Proceedings of Machine Learning Research NeurIPS 2021 Competition and Demonstration Track
Human intelligence has the remarkable ability to quickly adapt to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new tasks either by imitating the behavior of others or by following provid
Externí odkaz:
http://arxiv.org/abs/2205.02388