Papel — The Social Network for Researchers

Discover, read, and engage with academic papers. AI-powered summaries, quizzes, and a community of researchers — all in one beautiful app.

Papel — The Social Network for Researchers

Discover, read, and engage with academic papers. AI-powered summaries, quizzes, and a community of researchers — all in one beautiful app.

UC San Francisco: Announcing the Open Access UC-Authored Monographs Pilot Project

UC San Francisco: Announcing the Open Access UC-Authored Monographs Pilot Project. “The University of California (UC) Libraries are supporting several open access pilot projects intended to b…

Paper2Video: Automatic Video Generation from Scientific Papers

Academic presentation videos have become an essential medium for research communication, yet producing them remains highly labor-intensive, often requiring hours of slide design, recording, and editing for a short 2 to 10 minutes video. Unlike natural video, presentation video generation involves distinctive challenges: inputs from research papers, dense multi-modal information (text, figures, tables), and the need to coordinate multiple aligned channels such as slides, subtitles, speech, and human talker. To address these challenges, we introduce PaperTalker, the first benchmark of 101 research papers paired with author-created presentation videos, slides, and speaker metadata. We further design four tailored evaluation metrics--Meta Similarity, PresentArena, PresentQuiz, and IP Memory--to measure how videos convey the paper's information to the audience. Building on this foundation, we propose PaperTalker, the first multi-agent framework for academic presentation video generation. It integrates slide generation with effective layout refinement by a novel effective tree search visual choice, cursor grounding, subtitling, speech synthesis, and talking-head rendering, while parallelizing slide-wise generation for efficiency. Experiments on Paper2Video demonstrate that the presentation videos produced by our approach are more faithful and informative than existing baselines, establishing a practical step toward automated and ready-to-use academic video generation. Our dataset, agent, and code are available at https://github.com/showlab/Paper2Video.

Exclusive: Journal bans drug safety database papers as they flood the literature (Retraction Watch) | ResearchBuzz: Firehose

Scientific papers: innovation … or imitation?

Reactions to pioneering scientific publications often focus only on the small details of the discovery. We would do better by looking at the bigger picture.

Scientific papers: innovation … or imitation?

Reactions to pioneering scientific publications often focus only on the small details of the discovery. We would do better by looking at the bigger picture.