1 citations · 1 across the 14 of their papers we have counts for
15 papers
On the Turing Completeness of Transformers and Agents
Yimu Qiao, Lijia Yu, Ruichen Qiu +1
Transformers have emerged as the dominant architecture in sequence modeling, achieving remarkable success in natural language processing and reasoning tasks. While existing literat…
MechMath Agent Team: LLM Driven Agents for Mathematical Research
Yichuan Cao, Ruichen Qiu, Junqi Liu +5
AI reasoning has become a central focus in contemporary artificial intelligence, largely driven by the success of large language models. However, mathematical research, which is ch…
Deterministic Polynomial-time Exact-root Computation for Sparse Polynomials with Bounded Total Degree
Qiao-Long Huang, Yichuan Cao, Ruichen Qiu +1
We study the problem of deterministically computing the exact root of a sparse polynomial in the multivariate setting. Let $f \in \F[x_1,\ldots,x_n]$ be a nonzero polynomial that i…
Complexity of Low-Degree Skew Polynomial Multiplication over Finite Fields
Ke Ye, Yichuan Cao, Ruichen Qiu
In this note, we study the complexity of multiplication in skew polynomial rings over finite fields. We prove that the product of two elements in of degree…
The Equivalence Problem for Generalized Airy Operators
Yichuan Cao, Ruyong Feng, Yunfei Li +1
In this paper, we establish degree obstructions to the equivalence of generalized Airy operators of the same type. As an application, we answer a question posed by Nicholas M. Katz…
Every Nonnegative Integer Is a Sum of a Triangular, a Pentagonal, and a Heptagonal Number
Yichuan Cao, Dakai Guo, Ruichen Qiu +2
In this paper, it is proved that any nonnegative integer can be written in the following form This settles the…
A Greatest Common Divisor Criterion of Certain Binomial Coefficients
Dakai Guo, Ruichen Qiu, Yichuan Cao +2
The binomial greatest common divisor (gcd) criterion recorded as OEIS A080170 is proven. The criterion also appears as conjecture (17) in Ralf Stephan's list of OEIS conjectures. F…
Sparse Polynomial GCD Cannot Be Computed in Fixed-output Polynomial Time
Ruichen Qiu, Yichuan Cao, Qiao-Long Huang +2
This paper shows that, assuming , sparse univariate polynomial GCD cannot be computed in fixed-output polynomial time over any fixed computable field. Pre…
Sparse Polynomial Divisibility Test over Finite Field is CoNP-hard
Yichuan Cao, Ruichen Qiu, Qiao-Long Huang +2
In this paper, we show that deciding whether a sparse polynomial does not divide another sparse polynomial exactly over finite fields is NP-hard under BPP many-one reductions. Equi…
Quasi-linear Time Multiplication of Sparse Polynomials with Integer Coefficients
Qiao-Long Huang, Yichuan Cao, Ruichen Qiu +1
Sparse polynomial multiplication is a fundamental problem in computer algebra and the theory of computation, and the development of a quasi-linear time output-sensitive multiplicat…
A Finite Certificate for the Positive Vasc Inequality
Dakai Guo, Ruichen Qiu, Yichuan Cao +1
We prove the positive-real case of the Vasc cyclic inequality. The proof was obtained with human-guided assistance from the AI agent MechMath Agent Team: the human-readable p…
MechMath: Sorrifier-Driven Formal Decomposition Workflow for Automated Theorem Proving
Ruichen Qiu, Yichuan Cao, Junqi Liu +4
Recent advances in large language models (LLMs) and LLM-based agents have substantially improved the capabilities of automated theorem proving. However, for problems that require c…
A Survey on Unlearning in Large Language Models
Ruichen Qiu, Jiajun Tan, Jiayue Pu +3
Large Language Models (LLMs) demonstrate remarkable capabilities, but their training on massive corpora poses significant risks from memorized sensitive information. To mitigate th…
PowerMLP: An Efficient Version of KAN
Ruichen Qiu, Yibo Miao, Shiwen Wang +3
The Kolmogorov-Arnold Network (KAN) is a new network architecture known for its high accuracy in several tasks such as function fitting and PDE solving. The superior expressive cap…
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs
Jiajun Tan, Fei Sun, Ruichen Qiu +2
As concerns over data privacy intensify, unlearning in Graph Neural Networks (GNNs) has emerged as a prominent research frontier in academia. This concept is pivotal in enforcing t…