1 citations · 1 across the 4 of their papers we have counts for
4 papers
Robust Critics: Defending LLMs Against Multi-Turn Attacks
Roman Belaire, Arunesh Sinha, Pradeep Varakantham
When a user asks a language model something harmful, is it a genuine attack or a misunderstood but well-meaning question? This ambiguity is one of the central challenges of LLM saf…
Curiosity as Linguistic Intervention: Using LLM Tutoring Dialogues to Influence Exploratory Learning Behavior
Gevindu Ganganath, Pasindu Bolonghege, Qianru Lyu +2
Large Language Models (LLMs) provide a new opportunity to study how language shapes exploratory cognition because conversational strategies can be systematically manipulated at inf…
Hey Chat, Can You Teach Me? Structuring Socratic Dialogue for Human Learning in the Wild
Sidney Tio, Arunesh Sinha, Pradeep Varakantham
Large language models are now widely used for everyday learning, but the underlying interactions are typically unstructured chats rather than following a curriculum. Unlike formal…
There are Levels to It: Red Teaming Dialogue With Hierarchical Reinforcement Learning
Roman Belaire, Arunesh Sinha, Pradeep Varakantham
Red teaming is essential for securing Large Language Models, yet current automated methods remain limited by templates and single-turn attacks. To simulate the complex, interactive…