AI hallucinations: a misnomer worth clarifying

N Maleki, B Padmanabhan… - 2024 IEEE conference on …, 2024 - ieeexplore.ieee.org
As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …

Chain of agents: Large language models collaborating on long-context tasks

Y Zhang, R Sun, Y Chen, T Pfister… - Advances in Neural …, 2025 - proceedings.neurips.cc
Addressing the challenge of effectively processing long contexts has become a critical issue
for Large Language Models (LLMs). Two common strategies have emerged: 1) reducing the …

A bi-step grounding paradigm for large language models in recommendation systems

K Bao, J Zhang, W Wang, Y Zhang, Z Yang… - ACM Transactions on …, 2023 - dl.acm.org
As the focus on Large Language Models (LLMs) in the field of recommendation intensifies,
the optimization of LLMs for recommendation purposes (referred to as LLM4Rec) assumes a …

Bias and unfairness in information retrieval systems: New challenges in the llm era

S Dai, C Xu, S Xu, L Pang, Z Dong, J Xu - Proceedings of the 30th ACM …, 2024 - dl.acm.org
With the rapid advancements of large language models (LLMs), information retrieval (IR)
systems, such as search engines and recommender systems, have undergone a significant …