FLIRT: Feedback Loop In-context Red Teaming (2024 · 42 citations)
The paper tackles automated red teaming: finding inputs that push generative models into producing unsafe content, without expensive human probing.
ChildEval:WHEN LARGE LANGUAGE MODELS MEET CHILDREN'S PERSONALITIES (2026)
LLM-based chatbots are increasingly used as companions for young children. Yet nobody has systematically tested whether these models pick up on and respect a child's preferences. Existing personalization benchmarks mostly target adults, and child-focused ones cover only narrow aspects such as safety or style…
Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual Learning (2026)
The paper addresses continual learning (CL) for large language models. Full retraining is too costly at this scale, and most existing CL methods focus only on preventing catastrophic forgetting, without exploiting knowledge that tasks could share. The authors first observe that better-performing CL models produce…

Co-authors here

11 co-authors with a page, the most papers together first.

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 34 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated 1 November 2026