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Aalok Thakkar

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#machine learning Preprint Open access Oct 2026

From Transformers to Weighted Automata: Towards the Verification of Large Language Models

Large language models (LLMs) are increasingly deployed in safety-critical settings, yet their black-box nature makes it difficult to provide formal guaranties about their behavior. Existing verification approaches rely primarily on empirical probing and testing, leaving open the question of how to reason rigorously abo...

Smayan Agarwal, Aslah Ahmad Faizi, Shobhit Singh et al. · 0 citations
Book Open access Jul 2026

A Correctness-First Introduction to Computer Science

The results suggest that correctness-first instruction is both pedagogically feasible in introductory CS courses and necessary for realigning assessment practices with foundational computational thinking goals in the presence of increasingly capable code-generation tools.

Vaani Goenka, Aalok Thakkar · 0 citations
Book Open access Jul 2026

A Good Rubber Duck Does Not Quack: Designing Socratic Scaffolding in AI Tutors

Socratic AI, a VS Code-integrated tutor that addresses this through pedagogically-grounded Socratic dialogue constrained to withhold direct solutions is presented, and evidence that stateful tracking enables adaptive Socratic dialogue that scaffolds productive struggle rather than short-circuiting learning is contribut...

Ayush Thonge, Aalok Thakkar · 0 citations

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