[HN Gopher] Show HN: Bulletpapers - ArXiv AI paper summarizer, w...
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       Show HN: Bulletpapers - ArXiv AI paper summarizer, won Anthropic
       Hackathon
        
       Author : mattfalconer
       Score  : 48 points
       Date   : 2023-11-08 18:20 UTC (4 hours ago)
        
 (HTM) web link (www.bulletpapers.ai)
 (TXT) w3m dump (www.bulletpapers.ai)
        
       | therobot24 wrote:
       | not crazy with some of the results, e.g.,
       | https://www.bulletpapers.ai/paper/1d002187-927d-6775-94e2-a4...
       | 
       | - Bulletpapers title: Using robots to map and digitize
       | construction sites
       | 
       | - Paper title: Multi-agent robotic systems and exploration
       | algorithms: Applications for data collection in construction
       | sites
       | 
       | - Bullets / Key Details: + Proposes methodology for multi-robot
       | systems in construction sites + Robots use exploration algorithms
       | to navigate autonomously + Information from building plans guides
       | exploration + Robots digitize environments by 3D scanning as they
       | explore + System is robust, efficient, requires minimal human
       | involvement
       | 
       | - Generated Summary: This paper proposes using multiple robots
       | with different capabilities working together to map and digitize
       | construction sites. The robots use exploration algorithms to
       | autonomously navigate and scan the environment. Information from
       | building plans helps guide the exploration. The multi-robot
       | system is robust, efficient, and requires minimal human
       | involvement.
       | 
       | This all reads like the info was gathered from the abstract
       | instead of the paper itself....that said, this is good AI
       | generation info for IEEE explore to implement i guess
        
         | mattfalconer wrote:
         | Agreed. It was built in 24 hours, and not as perfect as we'd
         | like, but it does actually take the entire paper as context -
         | the models aren't there yet, but we're going to keep refining
         | this until it's super useful.
        
       | tmitchel2 wrote:
       | Anyone know how these images were created or what type of prompt
       | would be required. For example this one...
       | 
       | https://www.bulletpapers.ai/paper/1edec37d-e8c5-43ab-bfec-90...
       | 
       | I really like the Japanese / anime style.
        
       | loumf wrote:
       | Since the point of a title and abstract of a paper is to be a
       | useful summary of the whole paper, the existence of this tool is
       | an indictment of researchers to do this effectively.
       | 
       | One thing I could imagine being useful is to summarize it for a
       | lay audience (rather than the intended audience of the paper).
        
         | mattfalconer wrote:
         | That is what it tries to do, the title, bulletpoints, summary
         | and 'FAQs' try to simplify the paper, but LLMs are hard to tame
         | when given an entire paper in the context window.
        
         | pclmulqdq wrote:
         | I would assume that the existence of abstracts and titles is
         | what allows tools like this to be effective at all. Abstracts
         | are probably shorter than a useful summary of a paper should
         | be, and this is by design. You would prefer that a summary have
         | a few more things, like how experiments were actually
         | conducted, but the abstract tells you what words to look for to
         | find that.
        
       | Mumps wrote:
       | How did the abstract summarizations compare to other approaches
       | (e.g. pointer-generator networks)? Any idea of improvement, to
       | warrant the setup?
        
       | MiSeRyDeee wrote:
       | The site is down for me.
        
       | summarity wrote:
       | I built something similar for non fiction books and articles:
       | https://findsight.ai. It's nearing 10,000 users.
        
       | notfed wrote:
       | I love the prospect of summarizing papers in layman terms, tuned
       | to my own definition of "layman", and never looking back to the
       | pop-science clickbait world that I've grown to detest.
        
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       (page generated 2023-11-08 23:00 UTC)