mlsanityData to 14 Oct 2026

News Reporter: A Multi-lingual LLM Framework for Broadcast T.V News

arXiv 2410.07520 ↗First posted 10 Oct 2024cs.CLcited by 0

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Abstract (arXiv)

Large Language Models (LLMs) have fast become an essential tools to many conversational chatbots due to their ability to provide coherent answers for varied queries. Datasets used to train these LLMs are often a mix of generic and synthetic samples, thus lacking the verification needed to provide correct and verifiable answers for T.V. News. We collect and share a large collection of QA pairs extracted from transcripts of news recordings from various news-channels across the United States. Resultant QA pairs are then used to fine-tune an off-the-shelf LLM model. Our model surpasses base models of similar size on several open LLM benchmarks. We further integrate and propose a RAG method to improve contextualization of our answers and also point it to a verifiable news recording.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 15 of its 22 references that are in the map. First posted on arXiv 10 Oct 2024.

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References · 15

  1. 2024The Llama 3 Herd of Modelscited by 14,715
  2. 2020Measuring Massive Multitask Language Understandingcited by 7,963
  3. 2018Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challengecited by 4,886
  4. 2021TruthfulQA: Measuring How Models Mimic Human Falsehoodscited by 2,975
  5. 2022Self-Instruct: Aligning Language Models with Self-Generated Instructionscited by 2,724
  6. 2022BLOOM: A 176B-Parameter Open-Access Multilingual Language Modelcited by 1,984
  7. 2024Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phonecited by 1,917
  8. 2020MPNet: Masked and Permuted Pre-training for Language Understandingcited by 981
  9. 2023Instruction Tuning for Large Language Models: A Surveycited by 623
  10. 2023Ragas: Automated Evaluation of Retrieval Augmented Generationcited by 418
  11. 2024A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Modelscited by 269
  12. 2023Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificitycited by 206
3 more
  1. 2023Enhancing LLM with Evolutionary Fine Tuning for News Summary Generationcited by 10
  2. 2019RadioTalk: a large-scale corpus of talk radio transcriptscited by 6
  3. 2024Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Datacited by 1

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