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Week Ending 8.9.2020

RESEARCH WATCH: 8.9.2020

Over the past week, 90 new papers were published in "Computer Science - Artificial Intelligence".

  • The paper discussed most in the news over the past week was "Predicting job-hopping likelihood using answers to open-ended interview questions" by Madhura Jayaratne et al (Jul 2020), which was referenced 7 times, including in the article This AI Model Can Predict If You Are A Job Hopper Or Not in Analytics India Magazine. The paper got social media traction with 7 shares. The authors show that the language one uses when responding to interview questions related to situational judgment and past behaviour is predictive of their likelihood to job hop. On Twitter, @mkaplanPMP commented "Frequent movement from job to job is found to be associated with one's personality. This paper presents "a novel approach to predicting job-hopping likelihood using answers to typical interview questions related to past behavior and situational judgment."".

  • Leading researcher Pieter Abbeel (UC Berkeley) published "Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning".

  • The paper shared the most on social media this week is by a team at University College London: "Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets" by Patrick Lewis et al (Aug 2020) with 237 shares. The researchers perform a detailed study of the test sets of three popular open - domain benchmark datasets with respect to these competencies. @barbara_plank (Barbara Plank) tweeted "woah 😲! 60% of overlap and 30% close-paraphrases is extreme... from the paper "a greater emphasis should be placed on more behaviour-driven evaluation, rather than pursuing single-number overall accuracy figures." - yes! totally agree #beyondaccuracy".

  • The most influential Twitter user discussing papers is π”Šπ”΄π”’π”―π”« who shared "Towards a Human-like Open-Domain Chatbot" by Daniel Adiwardana et al (Jan 2020) and said: "I thought they did: What does the 79% SSA human-rating and the tuning of best-of refer to if not that?".

This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 270 new papers.

Over the past week, 29 new papers were published in "Computer Science - Computers and Society".

This week was active for "Computer Science - Human-Computer Interaction", with 31 new papers.

This week was very active for "Computer Science - Learning", with 325 new papers.

Over the past week, eight new papers were published in "Computer Science - Multiagent Systems".

Over the past week, 19 new papers were published in "Computer Science - Neural and Evolutionary Computing".

This week was very active for "Computer Science - Robotics", with 71 new papers.


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