Summary of Acl Ready: Rag Based Assistant For the Acl Checklist, by Michael Galarnyk et al.
ACL Ready: RAG Based Assistant for the ACL Checklist
by Michael Galarnyk, Rutwik Routu, Kosha Bheda, Priyanshu Mehta, Agam Shah, Sudheer Chava
First submitted to arxiv on: 7 Aug 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Information Retrieval (cs.IR)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research introduces ACLReady, a language model application designed to assist authors in filling out the Responsible NLP Research checklist website’s best practices for responsible research, addressing ethics, societal impact, and reproducibility. The system aims to empower authors to reflect on their work and make informed decisions about their research. To evaluate its effectiveness, the researchers conducted a qualitative study with 13 users, finding that 92% found the application useful and easy to use, as well as 77% who expected it provided the necessary information. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps writers prepare for publishing their scientific work. It creates a tool called ACLReady that can help authors think about how their research might affect society or be shared with others. Some people used this tool and liked how easy it was to use, saying it helped them remember important things to consider when writing their papers. |
Keywords
» Artificial intelligence » Language model » Nlp
