Recent advances in large language models (LLMs) have transformed open-domain question answering, yet their effectiveness in music-related reasoning remains limited due to sparse music knowledge in pretraining data. While music information retrieval and computational musicology have explored structured and multimodal understanding, few resources support factual and contextual music question answering (MQA) grounded in artist metadata or historical context. We introduce MusWikiDB, a vector database of 3.2M passages from 144K music-related Wikipedia pages, and ArtistMus, a benchmark of 1,000 questions on 500 diverse artists with metadata such as genre, debut year, and topic. These resources enable systematic evaluation of retrieval-augmented generation (RAG) for MQA. Experiments show that RAG markedly improves factual accuracy; open-source models gain up to +56.8 percentage points (for example, Qwen3 8B improves from 35.0 to 91.8), approaching proprietary model performance. RAG-style fine-tuning further boosts both factual recall and contextual reasoning, improving results on both in-domain and out-of-domain benchmarks. MusWikiDB also yields approximately 6 percentage points higher accuracy and 40% faster retrieval than a general-purpose Wikipedia corpus. We release MusWikiDB and ArtistMus to advance research in music information retrieval and domain-specific question answering, establishing a foundation for retrieval-augmented reasoning in culturally rich domains such as music.

Summarizing long-form narratives--such as books, movies, and TV scripts--requires capturing intricate plotlines, character interactions, and thematic coherence, a task that remains challenging for existing LLMs. We introduce NexusSum, a multi-agent LLM framework for narrative summarization that processes long-form text through a structured, sequential pipeline--without requiring fine-tuning. Our approach introduces two key innovations: (1) Dialogue-to-Description Transformation: A narrative-specific preprocessing method that standardizes character dialogue and descriptive text into a unified format, improving coherence. (2) Hierarchical Multi-LLM Summarization: A structured summarization pipeline that optimizes chunk processing and controls output length for accurate, high-quality summaries. Our method establishes a new state-of-the-art in narrative summarization, achieving up to a 30.0% improvement in BERTScore (F1) across books, movies, and TV scripts. These results demonstrate the effectiveness of multi-agent LLMs in handling long-form content, offering a scalable approach for structured summarization in diverse storytelling domains.

This research explores the use of Natural Language Processing (NLP) techniques to locate geological resources, with a specific focus on industrial minerals. By using word embeddings trained with the GloVe model, we extract semantic relationships between target keywords and a corpus of geological texts. The text is filtered to retain only words with geographical significance, such as city names, which are then ranked by their cosine similarity to the target keyword. Dimensional reduction techniques, including Principal Component Analysis (PCA), Autoencoder, Variational Autoencoder (VAE), and VAE with Long Short-Term Memory (VAE-LSTM), are applied to enhance feature extraction and improve the accuracy of semantic relations. For benchmarking, we calculate the proximity between the ten cities most semantically related to the target keyword and identified mine locations using the haversine equation. The results demonstrate that combining NLP with dimensional reduction techniques provides meaningful insights into the spatial distribution of natural resources. Although the result shows to be in the same region as the supposed location, the accuracy has room for improvement.

The parents of several Oxford High School students, including deceased Tate Myre, have filed a lawsuit against shooting suspect Ethan Crumbley, his parents and school staff. The parents of two victims of the Nov. 30, 2021, shooting at Oxford High School in Michigan are demanding more transparency from the Oxford Community School District after the board voted against moving forward with an independent investigation into the tragedy last fall. The Oxford Board of Education on Tuesday announced that the district has, for the second time, declined an offer from Michigan Attorney General Dana Nessel to conduct a third-party investigation into the school shooting with the goal of determining how shooting suspect Ethan Crumbley, 15, managed to kill four students and injure seven others last fall. "To me, this is an admission of guilt," Buck Myre, father of deceased 16-year-old Tate Myre, said during a Thursday press conference. "They know that things didn't go right that day, and they don't want to stand up and fix it. They're going to hide behind governmental immunity and they're going to hide behind insurance and the lawyers. What's this teach the kids? "We just want accountability," he added later when asked why an independent investigation is important to parents. Oakland County Prosecutor Karen McDonald revealed in December 2021 that school officials met with Crumbley and his parents to discuss violent drawings he created just hours before the deadly rampage. The 15-year-old suspect was able to convince them during the meeting that the concerning drawings were for a "video game." His parents "flatly refused" to take their son home. The shooting has also resulted in several lawsuits, including two that seek $100 million in damages each, against the school district and school employees on behalf of the family of two sisters who attend the school. Ethan Robert Crumbley, 15, charged with first-degree murder in a high school shooting, poses in a jail booking photograph taken at the Oakland County Jail in Pontiac, Michigan. Myre and Meghan Gregory, the mother of 15-year-old Keegan Gregory, who survived the shooting but witnessed and was traumatized by Crumbley's rampage, are suing the shooting suspect's parents, James and Jennifer Crumbley, as well as school staff for negligence. JENNIFER CRUMBLEY, ETHAN CRUMBLEY'S MOTHER, SENT OMINOUS TEXTS ON DAY OF SHOOTING: 'HE CAN'T BE LEFT ALONE' "They're the ones that know what happened that day.

Deputy Aaron Garcia, of the U.S. Marshals Detroit Fugitive Apprehension Team, details arrests of parents of suspected Michigan school shooter. The accused Michigan high school shooter convinced school officials ahead of the deadly rampage that violent drawings he made were for a "video game," a letter released Saturday by the school shows. "On the morning of Nov. 30, a teacher observed concerning drawings and written statements that have been detailed in media reports, which the teacher reported to school counselors and the Dean of students. The student was immediately removed from the classroom and brought to the guidance counselor's office where he claimed the drawing was part of a video game he was designing and informed counselors that he planned to pursue video game design as a career," a letter sent to the Oxford High School community from Oxford Community Schools superintendent Tim Thorne on Saturday states. Ethan Crumbley, 15, allegedly shot and killed four students and injured seven others at Oxford High School.