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Retrieval-Augmented Generation (RAG) has proven to be an effective method for mitigating hallucination issues inherent in large language models (LLMs). Previous approaches typically train retrievers based on semantic similarity, lacking optimization for RAG. More recent works have proposed aligning retrievers with the preference signals of LLMs. However, these preference signals are often difficult for dense retrievers, which typically have weaker language capabilities, to understand and learn effectively. Drawing inspiration from pedagogical theories like Guided Discovery Learning, we propose a novel framework, FiGRet (Fine-grained Guidance for Retrievers), which leverages the language capabilities of LLMs to construct examples from a more granular, information-centric perspective to guide the learning of retrievers. Specifically, our method utilizes LLMs to construct easy-to-understand examples from samples where the retriever performs poorly, focusing on three learning objectives highly relevant to the RAG scenario: relevance, comprehensiveness, and purity. These examples serve as scaffolding to ultimately align the retriever with the LLM's preferences. Furthermore, we employ a dual curriculum learning strategy and leverage the reciprocal feedback between LLM and retriever to further enhance the performance of the RAG system. A series of experiments demonstrate that our proposed framework enhances the performance of RAG systems equipped with different retrievers and is applicable to various LLMs.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Fox News Digital publishes an array of health pieces all week long to keep you in the know on a range of wellness topics: health care access, innovative surgeries, cancer research, mental health trends and more -- plus, personal stories of people and families overcoming great obstacles. As you wind down your weekend, check out some of the top stories of the week in Health that you may have missed, or have been meaning to check out. These are just a few of what's new, of course.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Artificial intelligence (AI) could potentially do a better job of screening for heart health than trained sonographers. This is the finding of a study from the Smidt Heart Institute and the Division of Artificial Intelligence in Medicine at Cedars-Sinai in Los Angeles, California. In the study, published in the journal Nature, a total of 3,495 heart echocardiograms (ultrasounds) were assessed.

As a patient with a family history of heart disease, Karen Moore has always been diligent about monitoring her heart health. When her primary care doctor heard something unusual during a routine examination, she sent Moore to cardiologist Mark Rabbat, MD, associate professor of medicine and radiology and director of cardiac computed tomography (CT) at Loyola Medicine. Her initial tests, including electrocardiogram (ECG), echocardiograms and magnetic resonance images (MRI) did not detect any blockages. However, Moore's symptoms never went away. "The tests didn't show anything, but I still was short of breath. I still had a difficult time exercising," she said.

February may be the shortest and coldest month of the year. But for many, it is a time to give special recognition to often overlooked aspects of world history (Black History Month) and recognize what may be the single greatest threat to health in the world. For many, February is also known as Heart Health Month, and 2022 will be the 58th consecutive year it is recognized. Cardiovascular disease is a global problem that claims the lives of more people a year than cancer, strokes, or other prevalent diseases. Luckily, advanced research is leading to effective solutions for improving cardiovascular health.

There is a common myth that heart disease is more of a problem for men than women, however women and men die at equal rates from heart disease. Studies have shown that men's heart health is more researched and prioritized over women's heart health which creates an issue in diagnostics. Misdiagnosis or under diagnosis plague women with hidden heart issues and they won't always get the treatment they need. Because of this irritating and unethical issue, cardiologist and researcher, Dr. Amod Amritphale is working to change this outcome of heart health in women. Symptoms of heart disease in women are very different than men, but the warning signs for men are published more in the media and are known to be more obvious than for women.

As a health reporter, I've not only built a career on the idea that knowledge is power, I also apply it to my own life. Knowing the science behind the best healthy foods not only informs what I write about, but also what I eat. And if there's a way to do a crunch that's most effective, I want to know that, too. But, for me, this way of thinking has long stopped when it came to Alzheimer's disease, a progressive mental deterioration that can occur in middle or old age, due to generalized degeneration of the brain, and affects an estimated 5.8 million Americans. In my mind, Alzheimer's was a chronic, progressive disease with no cure.

The eyes may be the window to the soul, but they're also a window into heart health thanks to breakthrough health technology that combines artificial intelligence (AI) and machine learning. In a study published in February 2018 in Nature Biomedical Engineering, Google AI researchers and Verily (a health tech subsidiary of Google) teamed up to develop a non-invasive procedure to assess future heart health with retinal imaging techniques. Scientists used AI cameras to observe the blood vessels behind the eyes of more than 250,000 individuals from the United Kingdom and United States. From the collected data, an algorithm predicted the next five years of cardiovascular health for each patient with over 70 percent accuracy. "This discovery is particularly exciting because it suggests we might discover even more ways to diagnose health issues from retinal images," Lily Peng, a product manager for the Google Brain AI research group, said on their blog.

Next time you're wondering whether or not to have that extra cup of coffee, think about the health benefits it could offer you. According to the American Heart Association, coffee has been linked to a decreased risk of heart failure and stroke. The research was presented at the American Heart Association's Scientific Session this year. The researchers used machine learning and data from the Framingham Heart Study to examine what people eat and their heart health. The heart study has tracked the health of thousands of participants since the 1940s contributing to a wealth of data made available to researchers.