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
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· Annual Conference on Innovat...· 0 citations
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· Annual Conference on Innovat...· 0 citations
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