Personalization of large language models: A survey

Z Zhang, RA Rossi, B Kveton, Y Shao, D Yang… - arxiv preprint arxiv …, 2024 - arxiv.org
Personalization of Large Language Models (LLMs) has recently become increasingly
important with a wide range of applications. Despite the importance and recent progress …

Programming refusal with conditional activation steering

BW Lee, I Padhi, KN Ramamurthy, E Miehling… - arxiv preprint arxiv …, 2024 - arxiv.org
LLMs have shown remarkable capabilities, but precisely controlling their response behavior
remains challenging. Existing activation steering methods alter LLM behavior …

Exploring safety-utility trade-offs in personalized language models

AR Vij**i, SBR Chowdhury, S Chaturvedi - arxiv preprint arxiv …, 2024 - arxiv.org
As large language models (LLMs) become increasingly integrated into daily applications, it
is essential to ensure they operate fairly across diverse user demographics. In this work, we …

Communicate to Play: Pragmatic Reasoning for Efficient Cross-Cultural Communication in Codenames

I White, S Pandey, M Pan - arxiv preprint arxiv:2408.04900, 2024 - arxiv.org
Cultural differences in common ground may result in pragmatic failure and
misunderstandings during communication. We develop our method Rational Speech Acts …

A Survey of Personalized Large Language Models: Progress and Future Directions

J Liu, Z Qiu, Z Li, Q Dai, J Zhu, M Hu, M Yang… - arxiv preprint arxiv …, 2025 - arxiv.org
Large Language Models (LLMs) excel in handling general knowledge tasks, yet they
struggle with user-specific personalization, such as understanding individual emotions …

Communicate to Play: Pragmatic Reasoning for Efficient Cross-Cultural Communication

I White, S Pandey, M Pan - Findings of the Association for …, 2024 - aclanthology.org
In this paper, we study how culture leads to differences in common ground and how this
influences communication. During communication, cultural differences in common ground …