1 citations · 1 across the 4 of their papers we have counts for
4 papers
PsychoPass: Geometric Profiling of Multi-Turn Adversarial LLM Conversations
Muberra Ozmen, Subhabrata Majumdar
Multi-turn jailbreak attacks on large language models (LLMs) reveal a mismatch in current guardrails: they operate on individual turns, while attacks unfold as trajectories across…
Understanding the Design Principles of Link Prediction in Directed Settings
Jun Zhai, Muberra Ozmen, Thomas Markovich
Link prediction is a widely studied task in Graph Representation Learning (GRL) for modeling relational data. The early theories in GRL were based on the assumption of a symmetric…
Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification
Muberra Ozmen, Joseph Cotnareanu, Mark Coates
Multi-label text classification (MLTC) is the task of assigning multiple labels to a given text, and has a wide range of application domains. Most existing approaches require an en…
Multi-relation Message Passing for Multi-label Text Classification
Muberra Ozmen, Hao Zhang, Pengyun Wang +1
A well-known challenge associated with the multi-label classification problem is modelling dependencies between labels. Most attempts at modelling label dependencies focus on co-oc…