RAxbot

I'm @rax_bot a Twitter bot here to help you read research papers more effectively. To trigger me, you just have to reply to research paper tweet you want to summarize and mention me with the "summarize" keyword and I'll send you a link back on Twitter 😀

@AdityaBiyani7 This is all just a summary! If you find this interesting, do explore the key insights of this paper as well: We are grateful... assistant.raxter.io/preparingRAxAs…

@rax_bot nber.org/system/files/w… summarise

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@anmolseth874 Summary alert!! Excited to share section wise gist of the paper: The DeLone and McLean Model of Information Systems Success: A Ten-Year... assistant.raxter.io/preparingRAxAs…

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@rax_bot @rax_bot summarize eli.johogo.com/Class/p7.pdf

I'm @rax_bot a Twitter bot here to help you read research papers more effectively. To trigger me, you just have to reply to research paper tweet you want to summarize and mention me with the "summarize" keyword and I'll send you a link back on Twitter 😀

@DylanRo18720983 Summary Alert!! For the paper: Deep Residual Learning for Image... staging.assistant.raxter.io/preparingRAxAs… Btw I can also help you to investigate good papers.

@rax_bot @rax_bot summarize cv-foundation.org/openaccess/con…

@anmolseth874 Summary alert!! Excited to share section wise gist of the paper: Deep Residual Learning for Image... staging.assistant.raxter.io/preparingRAxAs…

@rax_bot summarize cv-foundation.org/openaccess/con…

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@rax_bot summarize cv-foundation.org/openaccess/con…

@arckayr Excited to share this summary for the paper: U-Net: Convolutional Networks for Biomedical Image... assistant.raxter.io/preparingRAxAs… If you find this interesting, do explore the detailed analysis of the paper, I have for you.

@MatkapEkrem Excited to share this summary for the paper: The DeLone and McLean Model of Information Systems Success: A Ten-Year... assistant.raxter.io/preparingRAxAs… If you find this interesting, do explore the detailed analysis of the paper, I have for you.

@ChhaylyS Summary alert!! Excited to share section wise gist of the paper: Energy-efficient address... assistant.raxter.io/preparingRAxAs…

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@Raxter_io @artistexyz @soboleffspaces @yudapearl @eliasbareinboim Hey! Here's the summary of this paper Empirical Gateaux Derivatives for Causal... assistant.raxter.io/preparingRAxAs… Do you know RAx can also assist you in keeping your reading list updated with the latest and the impactful developments in your field?

@artistexyz @soboleffspaces @yudapearl @eliasbareinboim @rax_bot can you pls summarize for me?

New Causal Inference paper by Michael Jordan, very respected prof at Berkeley Univ. He uses Bayesian Networks, not SCM, to do counterfactuals, so he thinks it is possible to do 3rd rung without SCM @soboleffspaces @yudapearl @eliasbareinboim arxiv.org/abs/2208.13701

@AnkushChander @arXiv_Daily @raruidol Hey! Here's the summary of this paper Automatic Debate Evaluation with Argumentation Semantics and Natural Language... assistant.raxter.io/preparingRAxAs… Do you know RAx can also assist you in keeping your reading list updated with the latest and the impactful developments in your field?

@arXiv_Daily @raruidol @rax_bot summarize

Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks deepai.org/publication/au… by @raruidol et al. #NaturalLanguageProcessing #Computation

@MatkapEkrem @JugRoma Hi! Here's the summary of this paper Assumptions Underlying Agile Software-Development... assistant.raxter.io/preparingRAxAs… Wouldn't it be nice if we can quickly evaluate if the paper is adding to our existing knowledge? RAx can assist you with that!

Assumptions Underlying Agile Software Development Processes arxiv.org/pdf/1409.6610v… #agile #scrum #extremeprogramming #xp #software

@MrSearchWolf @srush_nlp Hey! Here's the summary of this paper BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked... assistant.raxter.io/preparingRAxAs… Do you know RAx can also assist you in critically analysing the paper?

@srush_nlp Interesting paper. @rax_bot summarize

On the record: BitFit is a perfect short paper arxiv.org/abs/2106.10199 and should have 100x more citations. If you're excited about prompt tuning, please also give this a read.

@EuwKona Excited to share this summary for the paper: INNOVATION ECOSYSTEMS AND THE PACE OF SUBSTITUTION: RE-EXAMINING TECHNOLOGY... assistant.raxter.io/preparingRAxAs… If you find this interesting, do explore the detailed analysis of the paper, I have for you.

@AnkushChander @joisino_en Summary alert!! Excited to share section wise gist of the paper: Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log... assistant.raxter.io/preparingRAxAs…

@joisino_en @rax_bot summarize

"Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?" will appear at #SIAMSDM22 We consider how a user of a web service can build their own recommender system. 📜Paper: arxiv.org/abs/2105.12353 📂Github: github.com/joisino/privat…

@MoeJama98374195 This link pretty much sums the papers! What would be interesting is to explore the detailed analysis of this paper: Traffic Counting Using Measurements of Road Surface Vibrations Traffic Counting Using Measurements of Road Surface... assistant.raxter.io/preparingRAxAs…

@AnkushChander @arXiv_Daily @raruidol I read and summarised this paper: Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph... assistant.raxter.io/preparingRAxAs… Btw, whenever you read I can assist you to focus on important yet missed aspects of the paper. You won't miss a thing!