▲ | nijuashi 2 days ago | ||||||||||||||||
When we go to grad school, we’re taught how to write a research paper. Each field has a more or less standard format, where different types of data go in specific sections. So if an LLM is trained on enough papers in that field, it can learn to plug in the information you provide according to those conventions. In that sense, you’d give the LLM the purpose of the paper, the field you’re writing in, and the relevant data from your lab notebook. Personally, I never enjoyed writing manuscripts — most of the time goes into citing every claim and formatting everything correctly, which often feels more like clerical work than communicating discovery. I don’t mind if LLMs help write these papers. I don’t think learning to mimic this stylistic form necessarily adds to the process of discovery. Scientists should absolutely be rigorous and clear, but I’d welcome offloading the unnecessary tedium of stylized writing to automation. | |||||||||||||||||
▲ | pcrh 2 days ago | parent [-] | ||||||||||||||||
I am experienced in writing scientific papers, so I know what it takes. I remain to be convinced that the tasks you propose an LLM could do contribute any more to the process of writing a paper than dictating to a typist could do in the 1950's. It's impressive for a machine, but not particularly productivity-boosting. Tedious tasks such as correctly formatting references belong to the copy-editing stage (i.e. very last stage of writing a paper), where indeed I have seen journals adopt "AI" approaches. But these processes are not a bottleneck in the scientist's workflow. I certainly don't think the performance of LLMs that I'm familiar with would be any use at all in compiling the original data into scientifically accurate figures and text, and providing meaningful interpretations. Most likely they would simply throw out random "hallucinations" in grammatically correct prose. | |||||||||||||||||
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