Things to Do in L.A. Tap to enable a layout that focuses on the article. Rob Reiner used his fame to advocate for progressive causes. This is read by an automated voice. Please report any issues or inconsistencies here . Rob Reiner was a Hollywood legend and also a political force, a frequent voice in progressive causes and a Democratic Party activist.

Things to Do in L.A. Tap to enable a layout that focuses on the article. This is read by an automated voice. Please report any issues or inconsistencies here . Two people were found dead Sunday afternoon at the Brentwood home of director and actor Rob Reiner, multiple law enforcement sources confirmed. Margaret Stewart, a Los Angeles Fire Department spokesman, said the department was called to the home around 3:30 p.m. for medical aid.

Things to Do in L.A. Tap to enable a layout that focuses on the article. A magnitude 4.0 earthquake was reported Sunday at 3:30 p.m. in the Bay Area. It was followed in the same area by two smaller quakes. This is read by an automated voice. Please report any issues or inconsistencies here .

Things to Do in L.A. Tap to enable a layout that focuses on the article. Former Vice President Kamala Harris addresses delegates with the Democratic National Committee at their winter meeting in downtown Los Angeles on Friday. This is read by an automated voice. Please report any issues or inconsistencies here . California's two most prominent Democrats, former Vice President Kamala Harris and Gov. Gavin Newsom, addressed national Democratic leaders in L.A.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Ex-Trump DOJ lawyers say'fraudulent' UC antisemitism probes led them to quit Data centers for AI could nearly triple San José's energy use. This is read by an automated voice. Please report any issues or inconsistencies here . The county seat of Santa Clara is touting its partnership with Pacific Gas & Electric, claiming the city is "the West Coast's premier destination for data center development."

Things to Do in L.A. Tap to enable a layout that focuses on the article. Times Investigation: Ex-Trump DOJ lawyers say'fraudulent' UC antisemitism probes led them to quit This is read by an automated voice. Please report any issues or inconsistencies here . Nine former DOJ attorneys investigating UC antisemitism told The Times they felt pressured to conclude that campuses had violated the civil rights of Jewish students and staff. The attorneys resigned during the course of their UC assignments, some concerned that they were being asked to violate ethical standards. UC says it is open to talks with the Trump administration to protect $17.5 billion in federal funding.

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Retrieval-Augmented Generation (RAG) has emerged as a powerful framework for enhancing the capabilities of Large Language Models (LLMs) by integrating retrieval-based methods with generative models. As external knowledge repositories continue to expand and the parametric knowledge within models becomes outdated, a critical challenge for RAG systems is resolving conflicts between retrieved external information and LLMs' internal knowledge, which can significantly compromise the accuracy and reliability of generated content. However, existing approaches to conflict resolution typically operate at the token or semantic level, often leading to fragmented and partial understanding of factual discrepancies between LLMs' knowledge and context, particularly in knowledge-intensive tasks. To address this limitation, we propose TruthfulRAG, the first framework that leverages Knowledge Graphs (KGs) to resolve factual-level knowledge conflicts in RAG systems. Specifically, TruthfulRAG constructs KGs by systematically extracting triples from retrieved content, utilizes query-based graph retrieval to identify relevant knowledge, and employs entropy-based filtering mechanisms to precisely locate conflicting elements and mitigate factual inconsistencies, thereby enabling LLMs to generate faithful and accurate responses. Extensive experiments reveal that TruthfulRAG outperforms existing methods, effectively alleviating knowledge conflicts and improving the robustness and trustworthiness of RAG systems.

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We revise the definition of clickbait, which lacks current consensus, and argue that the creation of a curiosity gap is the key concept that distinguishes clickbait from other related phenomena such as sensationalism and headlines that do not deliver what they promise or diverge from the article. Therefore, we propose a new definition: clickbait is a technique for generating headlines and teasers that deliberately omit part of the information with the goal of raising the readers' curiosity, capturing their attention and enticing them to click. We introduce a new approach to clickbait detection datasets creation, by refining the concept limits and annotations criteria, minimizing the subjectivity in the decision as much as possible. Following it, we created and release TA1C (for Te Ahorré Un Click, Spanish for Saved You A Click), the first open source dataset for clickbait detection in Spanish. It consists of 3,500 tweets coming from 18 well known media sources, manually annotated and reaching a 0.825 Fleiss' κ inter annotator agreement. We implement strong baselines that achieve 0.84 in F1-score.