Large Language Models (LLMs) are powerful but prone to hallucinations due to static knowledge. Retrieval-Augmented Generation (RAG) helps by injecting external information, but current methods often are costly, generalize poorly, or ignore the internal knowledge of the model. In this paper, we introduce R1-Searcher++, a novel framework designed to train LLMs to adaptively leverage both internal and external knowledge sources. R1-Searcher++ employs a two-stage training strategy: an initial SFT Cold-start phase for preliminary format learning, followed by RL for Dynamic Knowledge Acquisition. The RL stage uses outcome-supervision to encourage exploration, incorporates a reward mechanism for internal knowledge utilization, and integrates a memorization mechanism to continuously assimilate retrieved information, thereby enriching the model's internal knowledge. By leveraging internal knowledge and external search engine, the model continuously improves its capabilities, enabling efficient retrieval-augmented reasoning. Our experiments demonstrate that R1-Searcher++ outperforms previous RAG and reasoning methods and achieves efficient retrieval. The code is available at https://github.com/RUCAIBox/R1-Searcher-plus.

Robotics is a smoking-hot industry that's evolving by literal leaps and bounds, and the top researchers in the field are also some of sci-fi's geekiest fans. Robin Murphy, the Raytheon professor of computer science and engineering at Texas A&M University, specializes in artificial intelligence for robotics. As a component of her curriculum, she writes "Science Fiction, Science Fact," a series of provocative, engaging articles that highlight the myriad differences between the robots and droids depicted in popular science fiction films and the best sci-fi TV shows and actual robots and autonomous machines working in the real world. Although "The Mandalorian" and "The Book of Boba Fett" excel in depicting visually arresting Star Wars droids, their mechanical designs are not only impractical but often no match for real robots, Murphy explained in a column in the journal Science Robotics (opens in new tab). In addition to being one of the finest minds in robotics, she's the distinguished author of several MIT Press books on the topic, including "Robotics Through Science Fiction (opens in new tab)" (2018), "Introduction to AI Robotics (opens in new tab)" (2001, 2018) and "Disaster Robotics (opens in new tab)" (2014).

At the end of season 2 of The Mandalorian (which aired in December 2020, so spoiler alerts are meaningless but here we are), a DeepFaked CGI version of Luke Skywalker makes a surprising appearance to recruit the young Grogu for his upcoming Jedi revival scheme. It was both a cool and creepy moment, with the impressive digital imaging nestling way too comfortably in the heart of the Uncanny Valley. It was so ineffably unsettling that a random YouTuber tried to fix the scene himself -- and did such a good job that Disney hired him. When CGI DeepFake Luke Skywalker returned in The Book of Boba Fett, his robotic performance was noticeably more convincing. But there was something about his voice that was still … off.

Fox News Flash top entertainment and celebrity headlines for Dec. 19 are here. Check out what's clicking today in entertainment. The first "Star Wars" film, "A New Hope" was released 42 years ago in 1977. Since then, countless films, video games, television spin-offs and books have been produced to fill in every corner of the galaxy far, far away. What started out as a campy, low-budget sci-fi flick that was expected to flop, quickly grew into a juggernaut of a film franchise with plenty of content for everyone.