activity
20202026
most citedOn Cycles of Generalized Collatz Sequences

3 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2026

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context

Zekun Wang, Anant Gupta, Zihan Dong +1

Large language models (LLMs) increasingly receive information as streams of passages, conversations, and long-context workflows. While longer context windows expose more evidence,…

cs.LG2026

Test-Time Compositional Generalization in Diffusion Models via Concept Discovery

Zekun Wang, Anant Gupta, Tianyi Zhu +1

Compositional generalization requires models to produce novel configurations from familiar parts. In diffusion models, prior compositional generation methods typically assume that…

cs.CL2026

CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic Modeling

Karthik Singaravadivelan, Anant Gupta, Zekun Wang +1

Topic modeling seeks to uncover latent semantic structure in text corpora with minimal supervision. Neural approaches achieve strong performance but require extensive tuning and st…

cs.LG2026

Trust Region Continual Learning as an Implicit Meta-Learner

Zekun Wang, Anant Gupta, Christopher J. MacLellan

Continual learning aims to acquire tasks sequentially without catastrophic forgetting, yet standard strategies face a core tradeoff: regularization-based methods (e.g., EWC) can ov…

cs.AI2026

FinForge: Semi-Synthetic Financial Benchmark Generation

Glenn Matlin, Akhil Theerthala, Anant Gupta +4

Evaluating Language Models (LMs) in specialized, high-stakes domains such as finance remains a significant challenge due to the scarcity of open, high-quality, and domain-specific…

cs.CL2025

Hierarchical Semantic Retrieval with Cobweb

Anant Gupta, Karthik Singaravadivelan, Zekun Wang

Neural document retrieval often treats a corpus as a flat cloud of vectors scored at a single granularity, leaving corpus structure underused and explanations opaque. We use Cobweb…

cs.LG2025

Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models

Zekun Wang, Anant Gupta, Zihan Dong +1

Catastrophic forgetting remains a central obstacle for continual learning in neural models. Popular approaches -- replay and elastic weight consolidation (EWC) -- have limitations:…

math.NT2021

Rotating Binaries

Anant Gupta, Idriss J. Aberkane, Sourangshu Ghosh +3

This paper investigates the behaviour of rotating binaries. A rotation by digits to the left of a binary number exhibits in particular cases the divisibility $l\mid N_1(B)\…

math.NT2020★ 3 cited

On Cycles of Generalized Collatz Sequences

Anant Gupta

We explore the cycles and convergence of Generalized Collatz Sequence, where in original collatz function is replaced with . We present a generating function for cycle…