Abstractive text summarization is integral to the Big Data era, which demands advanced methods to turn voluminous and often long text data into concise but coherent and informative summaries for efficient human consumption. Despite significant progress, there is still room for improvement in various aspects. One such aspect is to improve informativeness. Hence, this paper proposes a novel learning approach consisting of two methods: an optimal transport-based informative attention method to improve learning focal information in reference summaries and an accumulative joint entropy reduction method on named entities to enhance informative salience. Experiment results show that our approach achieves better ROUGE scores compared to prior work on CNN/Daily Mail while having competitive results on XSum. Human evaluation of informativeness also demonstrates the better performance of our approach over a strong baseline. Further analysis gives insight into the plausible reasons underlying the evaluation results.

A sex offender convicted of making more than 1,000 indecent images of children has been banned from using any "AI creating tools" for the next five years in the first known case of its kind. Anthony Dover, 48, was ordered by a UK court "not to use, visit or access" artificial intelligence generation tools without the prior permission of police as a condition of a sexual harm prevention order imposed in February. The ban prohibits him from using tools such as text-to-image generators, which can make lifelike pictures based on a written command, and "nudifying" websites used to make explicit "deepfakes". Dover, who was given a community order and 200 fine, has also been explicitly ordered not to use Stable Diffusion software, which has reportedly been exploited by paedophiles to create hyper-realistic child sexual abuse material, according to records from a sentencing hearing at Poole magistrates court. The case is the latest in a string of prosecutions where AI generation has emerged as an issue and follows months of warnings from charities over the proliferation of AI-generated sexual abuse imagery.

Large Language Models (LLMs) have sparked significant interest in their generative capabilities, leading to the development of various commercial applications. The high cost of using the models drives application builders to maximize the value of generation under a limited inference budget. This paper presents a study of optimizing inference hyperparameters such as the number of responses, temperature and max tokens, which significantly affects the utility/cost of text generation. We design a framework named EcoOptiGen which leverages economical hyperparameter optimization and cost-based pruning. Experiments with the GPT-3.5/GPT-4 models on a variety of tasks verify its effectiveness. EcoOptiGen is implemented in the `autogen' package of the FLAML library: \url{https://aka.ms/autogen}.

To prevent the costly and inefficient use of resources on low-quality annotations, we want a method for creating a pool of dependable annotators who can effectively complete difficult tasks, such as evaluating automatic summarization. Thus, we investigate the recruitment of high-quality Amazon Mechanical Turk workers via a two-step pipeline. We show that we can successfully filter out subpar workers before they carry out the evaluations and obtain high-agreement annotations with similar constraints on resources. Although our workers demonstrate a strong consensus among themselves and CloudResearch workers, their alignment with expert judgments on a subset of the data is not as expected and needs further training in correctness. This paper still serves as a best practice for the recruitment of qualified annotators in other challenging annotation tasks.

Ian Watson (Letters, 17 February) asks for a translation of my letter in Welsh (13 February). I did include an English translation in my letter, but only the Welsh was published. I sent a second letter asking the Guardian to publish the translation, as I was having a lot of stick from a certain friend who couldn't read it, but with no luck. Hopefully Ian's letter will change the letters editor's mind. The English version was as follows: "Thank you very much for the excellent editorial article which sang the praises of the Welsh language … Since you are now so enthusiastic about Welsh, may I, from now on, write to you in the language of heaven?" Meanwhile, there has been much glee about my letter on Welsh-language social media.

In a nondescript hospital laboratory in Denbighshire, a quiet revolution is taking place. It involves nothing more glamorous than a digital scanning machine and a computer terminal. But the ramifications for medicine could be profound. Here, it could be argued, virtual consultants are being generated. READ MORE: Wales' worst ever shipwreck disaster was off Anglesey - and no one's ever heard of it These are "experts" who, every day, are getting better and better at their jobs.

A former solicitor general has said she is concerned the Ched Evans rape case could discourage victims of sexual offences from coming forward. The 27-year-old footballer was cleared on Friday of raping a 19-year-old woman in a hotel room. Vera Baird told the BBC that details of the woman's sexual past should not have been heard in court. Mr Evans was found guilty of rape in 2012, but that conviction was quashed in April. The Chesterfield striker was accused of attacking the woman at a Premier Inn in Rhuddlan, Denbighshire, on 30 May 2011.