Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment
Anh Bui · Thuy-Trang Vu · Trung Le · Junae Kim · Tamas Abraham · Rollin Omari · Amardeep Kaur · Dinh Q. Phung
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Anh Bui · Thuy-Trang Vu · Trung Le · Junae Kim · Tamas Abraham · Rollin Omari · Amardeep Kaur · Dinh Q. Phung
Linhao Luo · Zicheng Zhao · Junnan Liu · Zhangchi Qiu · Junnan Dong · Serge Panev · Chen Gong · Thuy-Trang Vu · Gholamreza Haffari · Dinh Q. Phung · Alan Liew · Shirui Pan
Viet Thanh Pham · Lizhen Qu · Thuy-Trang Vu · Gholamreza Haffari · Dinh Q. Phung
Large language models (LLMs) are increasingly deployed as autonomous agents, yet evaluations focus primarily on task success rather than cultural appropriateness or evaluator reliability. We introduce LiveCultureBench, a multi-cultural, dynamic benchmark that embeds LLMs as agents in a simulated...
Minghan Wang · Thuy-Trang Vu · Ehsan Shareghi · Gholamreza Haffari
Inference-time scaling through multiple sample generation in combination with Process- or Outcome-Reward Model (PRM or ORM) re-ranking has proven effective for text-based reasoning in large language models. This paper investigates whether such established techniques can be successfully adapted to...