Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Publications
Journal Articles
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Conference Papers
Paper Title Number 5, with math \(E=mc^2\)
Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Working Papers
Academic Simulacra: Forecasting Research Ideas through Multi-Agent LLM Simulations
Published in , 2025
Large language models (LLMs) trained on massive corpora of human knowledge show strong abilities in reasoning, question answering, and knowledge synthesis. Linked to large-scale scholarly records, they can approximate scientific trajectories and plausible alternatives. We present a framework that simulates scholarly conversations among multi-agent LLMs instantiated as digital twins of real researchers, each grounded in publication histories. Modeling 8,269 authors of 2024 papers across nine flagship computer-science conferences, agents propose and refine hypothetical 2024 research ideas beyond the models’ knowledge cutoff. Generated ideas are compared with actual papers using semantic-similarity and convex-hull analyses at the author and conference levels. At the author level, cross-classification shows strong correspondence between generated and focal classifications (94.4% inside–inside; 85.3% outside–outside), indicating that simulations approximate researchers’ research directions. At the conference level, simulations produced at least one idea outside both 2023 and 2024 convex hulls for 99.1% of focal papers, but these ideas were more recombinatorial and less feasible than human-authored ones. Overall, the results suggest that LLM-based simulations mirror established patterns of scientific production but tend to extend into less immediately feasible directions, recombining existing ideas.