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Author

Chand Sahil Mansuri

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#natural language process... Preprint Sep 2026

Multi-agent discussion gains less when dissent is withheld

Multi-agent systems of LLMs add discussion to majority voting and are therefore expected to be more capable. However, empirical reports conflict on whether discussion improves accuracy or leads to an incorrect consensus. Here, we introduce a parsimonious model that explains when discussion improves accuracy and when it...

Chand Sahil Mansuri, Xin Wang, Meng-Ying Li et al. · 0 citations
#machine learning Preprint Sep 2026

Doc2LoRA Provides Decodable Representations of Scientific Ideas

Representing scientific papers as points in a space lets us search for similar papers and inquire about how fields relate to one another and drive innovation. Beyond search, the vector space of papers invites generation: mixing papers through simple vector operations creates new points, mirroring combinatorial novelty,...

Chand Sahil Mansuri, Joel Zachariah, Sadamori Kojaku · 0 citations

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