Human feedback is central to the alignment of Large Language Models (LLMs).

The claim and evidence conflict pairs can be found at https://huggingface. The scope of our dataset is purely for scientific research. Conflict V erification: Ensuring that the default and conflict evidence are contradictory. The human evaluation results showed a high level of accuracy in our data generation process. We select models with 2B and 7B parameters for our analysis. MA2 [ Touvron et al., 2023 ] is a popular open-source foundation model, trained on 2T Models with 7B and 70B parameters are selected for our analysis. To facilitate parallel training, we employ DeepSpeed Zero-Stage 3 [ Ren et al., The prompt for generating semantic conflict descriptions is shown in Figure 1 . The prompt for generating default evidence is shown in Table 6 . The prompt for generating misinformation conflict evidence is shown in Table 7 . The prompt for generating temporal conflict evidence is shown in Table 8 . The prompt for generating semantic conflict evidence is shown in Table 9 .

Large language models (LLMs) have achieved impressive advancements across numerous disciplines, yet the critical issue of knowledge conflicts, a major source of hallucinations, has rarely been studied. While a few research explored the conflicts between the inherent knowledge of LLMs and the retrieved contextual knowledge, a comprehensive assessment of knowledge conflict in LLMs is still missing.

Despite extensive efforts to create fairer machine learning (ML) datasets, there remains a limited understanding of the practical aspects of dataset curation.

However, a pivotal aspect of alignment for honesty involves discerning an LLM's

The Tokyo District Public Prosecutor's Office's special investigation squad arrested Kazutaka Yonekura, 48, the founder and former president of Japanese artificial intelligence developer Alt, and three others on Thursday on suspicion of padding the firm's sales in violation of the financial instruments and exchange law. The other three include Yusuke Hioki, 34, also a former president of the Tokyo-based company. The special squad did not reveal whether the suspects have admitted the allegations against them. They allegedly submitted to the Kanto Local Finance Bureau in September 2024 financial statements, in which the company's sales in the period from January 2022 to June 2024 were inflated by about ¥8.4 billion. In March this year, after Alt's listing on the Tokyo Stock Exchange's Growth section for startup in October 2024, the suspects submitted a statement that overstated sales for the business year to December 2024 by about ¥4.9 billion, according to the special squad.