Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports From Scratch with Agentic Frameworkcs.AI updates on arXiv.org arXiv:2506.02454v3 Announce Type: replace-cross
Abstract: Visualizations play a crucial part in effective communication of concepts and information. Recent advances in reasoning and retrieval augmented generation have enabled Large Language Models (LLMs) to perform deep research and generate comprehensive reports. Despite its progress, existing deep research frameworks primarily focus on generating text-only content, leaving the automated generation of interleaved texts and visualizations underexplored. This novel task poses key challenges in designing informative visualizations and effectively integrating them with text reports. To address these challenges, we propose Formal Description of Visualization (FDV), a structured textual representation of charts that enables LLMs to learn from and generate diverse, high-quality visualizations. Building on this representation, we introduce Multimodal DeepResearcher, an agentic framework that decomposes the task into four stages: (1) researching, (2) exemplar report textualization, (3) planning, and (4) multimodal report generation. For the evaluation of generated multimodal reports, we develop MultimodalReportBench, which contains 100 diverse topics served as inputs along with 5 dedicated metrics. Extensive experiments across models and evaluation methods demonstrate the effectiveness of Multimodal DeepResearcher. Notably, utilizing the same Claude 3.7 Sonnet model, Multimodal DeepResearcher achieves an 82% overall win rate over the baseline method.
arXiv:2506.02454v3 Announce Type: replace-cross
Abstract: Visualizations play a crucial part in effective communication of concepts and information. Recent advances in reasoning and retrieval augmented generation have enabled Large Language Models (LLMs) to perform deep research and generate comprehensive reports. Despite its progress, existing deep research frameworks primarily focus on generating text-only content, leaving the automated generation of interleaved texts and visualizations underexplored. This novel task poses key challenges in designing informative visualizations and effectively integrating them with text reports. To address these challenges, we propose Formal Description of Visualization (FDV), a structured textual representation of charts that enables LLMs to learn from and generate diverse, high-quality visualizations. Building on this representation, we introduce Multimodal DeepResearcher, an agentic framework that decomposes the task into four stages: (1) researching, (2) exemplar report textualization, (3) planning, and (4) multimodal report generation. For the evaluation of generated multimodal reports, we develop MultimodalReportBench, which contains 100 diverse topics served as inputs along with 5 dedicated metrics. Extensive experiments across models and evaluation methods demonstrate the effectiveness of Multimodal DeepResearcher. Notably, utilizing the same Claude 3.7 Sonnet model, Multimodal DeepResearcher achieves an 82% overall win rate over the baseline method. Read More
BNP Paribas introduces AI tool for investment bankingAI News BNP Paribas is testing how far AI can be pushed into the day-to-day mechanics of investment banking. According to Financial News, the bank has rolled out an internal tool called IB Portal, designed to help bankers assemble client pitches more quickly and with less repetition. Pitch preparation sits at the centre of investment banking work.
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BNP Paribas is testing how far AI can be pushed into the day-to-day mechanics of investment banking. According to Financial News, the bank has rolled out an internal tool called IB Portal, designed to help bankers assemble client pitches more quickly and with less repetition. Pitch preparation sits at the centre of investment banking work.
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Lessons Learned After 8 Years of Machine LearningTowards Data Science Deep work, over-identification, sports, and blogging
The post Lessons Learned After 8 Years of Machine Learning appeared first on Towards Data Science.
Deep work, over-identification, sports, and blogging
The post Lessons Learned After 8 Years of Machine Learning appeared first on Towards Data Science. Read More
JPMorgan Chase AI strategy: US$18B bet paying off AI News JPMorgan Chase’s AI strategy is delivering measurable returns – but at a human cost. The bank isn’t hiding the fact. With 200,000 employees now using its proprietary LLM Suite platform daily and AI benefits growing 30-40% annually, America’s largest bank is executing what Chief Analytics Officer Derek Waldron calls a plan to create the world’s
The post JPMorgan Chase AI strategy: US$18B bet paying off appeared first on AI News.
JPMorgan Chase’s AI strategy is delivering measurable returns – but at a human cost. The bank isn’t hiding the fact. With 200,000 employees now using its proprietary LLM Suite platform daily and AI benefits growing 30-40% annually, America’s largest bank is executing what Chief Analytics Officer Derek Waldron calls a plan to create the world’s
The post JPMorgan Chase AI strategy: US$18B bet paying off appeared first on AI News. Read More
Audio streaming platform SoundCloud has confirmed that outages and VPN connection issues over the past few days were caused by a security breach in which threat actors stole a database containing user information. […] Read More
The key elements in a security operations center’s strategy map very closely to the swim/bike/run events in a triathlon. SOCs, like triathletes, perform well when their “inputs” are strong. Read More
5 Workflow Automation Tools for All ProfessionalsKDnuggets Five powerful automation tools to help you streamline repetitive digital tasks, increase productivity, and create smarter workflows without requiring deep technical skills.
Five powerful automation tools to help you streamline repetitive digital tasks, increase productivity, and create smarter workflows without requiring deep technical skills. Read More
Mining business learnings for AI deploymentAI News Mining conglomerate BHP describes AI as the way it’s turning operational data into better day-to-day decisions. A blog post from the company highlights the analysis of data from sensors and monitoring systems to spot patterns and flag issues for plant machinery, giving choices to decision-makers that can improve efficiency and safety – plus reduce environmental
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Mining conglomerate BHP describes AI as the way it’s turning operational data into better day-to-day decisions. A blog post from the company highlights the analysis of data from sensors and monitoring systems to spot patterns and flag issues for plant machinery, giving choices to decision-makers that can improve efficiency and safety – plus reduce environmental
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Google has announced that it’s discontinuing its dark web report tool in February 2026, less than two years after it was launched as a way for users to monitor if their personal information is found on the dark web. To that end, scans for new dark web breaches will be stopped on January 15, 2026, […]
AWS’s legacy will be in AI successAI News As the company that kick-started the cloud computing revolution, Amazon is one of the world’s biggest companies whose practices in all things technological can be regarded as a blueprint for implementing new technology. This article looks at some of the ways that the company is deploying AI in its operations. Amazon’s latest AI strategy has
The post AWS’s legacy will be in AI success appeared first on AI News.
As the company that kick-started the cloud computing revolution, Amazon is one of the world’s biggest companies whose practices in all things technological can be regarded as a blueprint for implementing new technology. This article looks at some of the ways that the company is deploying AI in its operations. Amazon’s latest AI strategy has
The post AWS’s legacy will be in AI success appeared first on AI News. Read More