Author

Rima Hazra

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#natural language process... Mar 2026

SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems

It is argued that tutoring safety is fundamentally different from conventional LLM safety: the primary risk is not toxic content but the quiet erosion of learning through answer over-disclosure, misconception reinforcement, and the abdication of scaffolding.

Rima Hazra, Bikram Ghuku, I. Marchenko et al. · arXiv.org · 6 citations

#natural language process... Preprint Mar 2026

SafeMath: Safe Solutions for Unsafe Math Word Problems

Recent research points toward LLMs being manipulated through adversarial and seemingly benign inputs, resulting in harmful, biased, or policy-violating outputs. In this paper, we study an underexplored issue concerning harmful and toxic mathematical word problems. We show that math questions, particularly those framed...

Sagnik Basu, Subhrajit Mitra, Aman Juneja et al. · 0 citations