@inproceedings{nigam-etal-2024-interactive,
    title = "An Interactive Co-Pilot for Accelerated Research Ideation",
    author = "Nigam, Harshit  and
      Patwardhan, Manasi  and
      Vig, Lovekesh  and
      Shroff, Gautam",
    editor = "Blodgett, Su Lin  and
      Cercas Curry, Amanda  and
      Dev, Sunipa  and
      Madaio, Michael  and
      Nenkova, Ani  and
      Yang, Diyi  and
      Xiao, Ziang",
    booktitle = "Proceedings of the Third Workshop on Bridging Human--Computer Interaction and Natural Language Processing",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/2024.hcinlp-1.6/",
    doi = "10.18653/v1/2024.hcinlp-1.6",
    pages = "60--73",
    abstract = "In the realm of research support tools, there exists a notable void in resources tailored specifically for aiding researchers during the crucial ideation phase of the research life-cycle. We address this gap by introducing {\textquoteleft}Acceleron', a {\textquoteleft}Co-Pilot' for researchers, designed specifically to accelerate the ideation phase of the research life-cycle. Leveraging the reasoning and domain-specific skills of Large Language Models (LLMs) within an agent-based architecture with distinct personas, Acceleron aids researchers through the formulation of a comprehensive research proposals. It emulates the ideation process, engaging researchers in an interactive fashion to validate the novelty of the proposal and generate plausible set-of hypotheses. Notably, it addresses challenges inherent in LLMs, such as hallucinations, implements a two-stage aspect-based retrieval to manage precision-recall trade-offs, and tackles issues of unanswerability. Our observations and end-user evaluations illustrate the efficacy of Acceleron as an enhancer of researcher`s productivity."
}