3 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
OpenSafeIntent: Evaluating Intent-Calibrated Safe Completion Across Dual-Use Prompt Sets
Rheeya Uppaal, Seungwoo Lyu, Selina Sung +1
Safe completion requires models to provide useful assistance without enabling harm, but this behavior is difficult to evaluate with isolated prompts. We introduce OpenSafeIntent, a…
HarmThoughts: A Benchmark for Fine-Grained Harmful Behavior Detection in Reasoning Traces
Ishita Kakkar, Enze Zhang, Rheeya Uppaal +1
Large reasoning models (LRMs) produce complex, multi-step reasoning traces, yet safety evaluation remains focused on final outputs, overlooking how harm emerges during reasoning. W…
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
Rheeya Uppaal, Apratim Dey, Yiting He +2
Recent alignment algorithms such as direct preference optimization (DPO) have been developed to improve the safety of large language models (LLMs) by training these models to match…
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
Rheeya Uppaal, Yixuan Li, Junjie Hu
Recent breakthroughs in scale have enabled the emergence of powerful generative language models, and the ability to fine-tune these models on various tasks by casting them into pro…