1 citations · 1 across the 6 of their papers we have counts for
6 papers
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana +4
Effective teaching requires adapting instructional strategies to accommodate the diverse cognitive and behavioral profiles of students, a persistent challenge in education and teac…
Investigating Symbolic Capabilities of Large Language Models
Neisarg Dave, Daniel Kifer, C. Lee Giles +1
Prompting techniques have significantly enhanced the capabilities of Large Language Models (LLMs) across various complex tasks, including reasoning, planning, and solving math word…
Stability Analysis of Various Symbolic Rule Extraction Methods from Recurrent Neural Network
Neisarg Dave, Daniel Kifer, C. Lee Giles +1
This paper analyzes two competing rule extraction methodologies: quantization and equivalence query. We trained RNN models, extracting DFA with a quantization approa…
On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks
Ankur Mali, Alexander Ororbia, Daniel Kifer +1
Artificial neural networks (ANNs) with recurrence and self-attention have been shown to be Turing-complete (TC). However, existing work has shown that these ANNs require multiple t…
On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine
Ankur Mali, Alexander Ororbia, Daniel Kifer +1
Recurrent neural networks (RNNs) and transformers have been shown to be Turing-complete, but this result assumes infinite precision in their hidden representations, positional enco…
A provably stable neural network Turing Machine
John Stogin, Ankur Mali, C Lee Giles
We introduce a neural stack architecture, including a differentiable parametrized stack operator that approximates stack push and pop operations for suitable choices of parameters…