Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Sinha, Tanmay"'
Autor:
Kharyal, Chaitanya, Gottipati, Sai Krishna, Sinha, Tanmay Kumar, Das, Srijita, Taylor, Matthew E.
One of the final frontiers in the development of complex human - AI collaborative systems is the ability of AI agents to comprehend the natural language and perform tasks accordingly. However, training efficient Reinforcement Learning (RL) agents gro
Externí odkaz:
http://arxiv.org/abs/2401.02991
We present a general framework for designing efficient algorithms for unsupervised learning problems, such as mixtures of Gaussians and subspace clustering. Our framework is based on a meta algorithm that learns arithmetic circuits in the presence of
Externí odkaz:
http://arxiv.org/abs/2311.07284
Autor:
Macina, Jakub, Daheim, Nico, Chowdhury, Sankalan Pal, Sinha, Tanmay, Kapur, Manu, Gurevych, Iryna, Sachan, Mrinmaya
While automatic dialogue tutors hold great potential in making education personalized and more accessible, research on such systems has been hampered by a lack of sufficiently large and high-quality datasets. Collecting such datasets remains challeng
Externí odkaz:
http://arxiv.org/abs/2305.14536
Recent approaches to the tensor completion problem have often overlooked the nonnegative structure of the data. We consider the problem of learning a nonnegative low-rank tensor, and using duality theory, we propose a novel factorization of such tens
Externí odkaz:
http://arxiv.org/abs/2305.07976
We consider the problem of learning low-rank tensors from partial observations with structural constraints, and propose a novel factorization of such tensors, which leads to a simpler optimization problem. The resulting problem is an optimization pro
Externí odkaz:
http://arxiv.org/abs/2305.07967
Autor:
Macina, Jakub, Daheim, Nico, Wang, Lingzhi, Sinha, Tanmay, Kapur, Manu, Gurevych, Iryna, Sachan, Mrinmaya
Designing dialog tutors has been challenging as it involves modeling the diverse and complex pedagogical strategies employed by human tutors. Although there have been significant recent advances in neural conversational systems using large language m
Externí odkaz:
http://arxiv.org/abs/2301.09919
Autor:
Shridhar, Kumar, Macina, Jakub, El-Assady, Mennatallah, Sinha, Tanmay, Kapur, Manu, Sachan, Mrinmaya
Socratic questioning is an educational method that allows students to discover answers to complex problems by asking them a series of thoughtful questions. Generation of didactically sound questions is challenging, requiring understanding of the reas
Externí odkaz:
http://arxiv.org/abs/2211.12835
Curiosity is a vital metacognitive skill in educational contexts, leading to creativity, and a love of learning. And while many school systems increasingly undercut curiosity by teaching to the test, teachers are increasingly interested in how to evo
Externí odkaz:
http://arxiv.org/abs/2204.00545
Publikováno v:
In Learning and Instruction August 2024 92
We propose a novel Riemannian method for solving the Extreme multi-label classification problem that exploits the geometric structure of the sparse low-dimensional local embedding models. A constrained optimization problem is formulated as an optimiz
Externí odkaz:
http://arxiv.org/abs/2109.15021