2 papers
cs.CL2026
Reverse Constitutional AI: A Framework for Controllable Toxic Data Generation via Probability-Clamped RLAIF
Yuan Fang, Yiming Luo, Aimin Zhou +1
Ensuring the safety of large language models (LLMs) requires robust red teaming, yet the systematic synthesis of high-quality toxic data remains under-explored. We propose Reverse…
cs.LG2026
Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs
Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang
Node classification is a fundamental problem in information retrieval with many real-world applications, such as community detection in social networks, grouping articles published…