Spiral of Silence: How is Large Language Model Killing Information Retrieval?--A Case Study...

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A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

L Huang, W Yu, W Ma, W Zhong, Z Feng… - ACM Transactions on …, 2025 - dl.acm.org
The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …
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Caution for the environment: Multimodal agents are susceptible to environmental distractions

X Ma, Y Wang, Y Yao, T Yuan, A Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper investigates the faithfulness of multimodal large language model (MLLM) agents
in the graphical user interface (GUI) environment, aiming to address the research question …
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ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator

J Zhu, L Yan, H Shi, D Yin, L Sha - arxiv preprint arxiv:2405.18111, 2024 - arxiv.org
Large language models (LLMs) are proven to benefit a lot from retrieval-augmented
generation (RAG) in alleviating hallucinations confronted with knowledge-intensive …
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Evaluation of Attribution Bias in Retrieval-Augmented Large Language Models

A Abolghasemi, L Azzopardi, SH Hashemi… - arxiv preprint arxiv …, 2024 - arxiv.org
Attributing answers to source documents is an approach used to enhance the verifiability of
a model's output in retrieval augmented generation (RAG). Prior work has mainly focused on …
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Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems

H Cao - arxiv preprint arxiv:2411.13173, 2024 - arxiv.org
The rapid advancement of Language Model technologies has opened new opportunities,
but also introduced new challenges related to bias and fairness. This paper explores the …
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ECON: On the Detection and Resolution of Evidence Conflicts

C Jiayang, C Chan, Q Zhuang, L Qiu, T Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
The rise of large language models (LLMs) has significantly influenced the quality of
information in decision-making systems, leading to the prevalence of AI-generated content …
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Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation

Z Liu, L Zhang, Q Li, J Wu, G Zhu - arxiv preprint arxiv:2411.07021, 2024 - arxiv.org
Retrieval-augmented generation (RAG) has shown impressive capability in providing
reliable answer predictions and addressing hallucination problems. A typical RAG …
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Intelligenza artificiale, Large Language Models (LLMs) e Retrieval-Augmented Generation (RAG). Nuovi strumenti per l'accesso alle risorse archivistiche e …

G Di Marcantonio - Bibliothecae. it, 2024 - u-pad.unimc.it
Abstract Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
systems offer a new paradigm for querying and retrieving information, making the resource …
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