1 code implementation • 8 May 2024 • Karim Hamade, Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
Traditional chess engines designed to output near-optimal moves prove to be inadequate partners when paired with engines of various lower skill levels in this domain, as they are not designed to consider the presence of other agents.
no code implementations • 12 Dec 2023 • Marc-Etienne Brunet, Ashton Anderson, Richard Zemel
Large pretrained language models (LLMs) can be rapidly adapted to a wide variety of tasks via a text-to-text approach, where the instruction and input are fed to the model in natural language.
1 code implementation • 27 Nov 2023 • Yilun Liu, Difan Jiao, Ashton Anderson
Among the many tasks that Large Language Models (LLMs) have revolutionized is text classification.
no code implementations • 24 May 2023 • Veniamin Veselovsky, Manoel Horta Ribeiro, Akhil Arora, Martin Josifoski, Ashton Anderson, Robert West
Large Language Models (LLMs) have democratized synthetic data generation, which in turn has the potential to simplify and broaden a wide gamut of NLP tasks.
1 code implementation • NeurIPS 2021 • Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
We present a transformer-based approach to behavioral stylometry in the context of chess, where one attempts to identify the player who played a set of games.
no code implementations • 19 Jul 2022 • Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Solon Barocas, Ashton Anderson
An emerging theme in artificial intelligence research is the creation of models to simulate the decisions and behavior of specific people, in domains including game-playing, text generation, and artistic expression.
no code implementations • 1 Oct 2020 • Isaac Waller, Ashton Anderson
However, our ability to measure the social makeup of online communities, and in turn understand the social organization of online platforms, is limited by the pseudonymous, unstructured, and large-scale nature of digital discussion.
no code implementations • 16 Sep 2020 • Kristina Gligorić, Ashton Anderson, Robert West
The prevalence of tweets around 140 characters before the switch in a given language is strongly correlated with the prevalence of tweets around 280 characters after the switch in the same language, and very long tweets are vastly more popular on Web clients than on mobile clients.
1 code implementation • 23 Aug 2020 • Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
AI systems that can capture human-like behavior are becoming increasingly useful in situations where humans may want to learn from these systems, collaborate with them, or engage with them as partners for an extended duration.
no code implementations • 1 Jul 2020 • Homanga Bharadhwaj, Dylan Turpin, Animesh Garg, Ashton Anderson
Under two conditions: papers that are released on arXiv before the review phase and papers that are not, we examine the correlation between the reputation of their authors with the review scores and acceptance decisions.
1 code implementation • 2 Jun 2020 • Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
We develop and introduce Maia, a customized version of Alpha-Zero trained on human chess games, that predicts human moves at a much higher accuracy than existing engines, and can achieve maximum accuracy when predicting decisions made by players at a specific skill level in a tuneable way.
2 code implementations • 8 Oct 2018 • Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson, Richard Zemel
Given a word embedding trained on a corpus, our method identifies how perturbing the corpus will affect the bias of the resulting embedding.
no code implementations • 15 Jun 2016 • Ashton Anderson, Jon Kleinberg, Sendhil Mullainathan
An increasing number of domains are providing us with detailed trace data on human decisions in settings where we can evaluate the quality of these decisions via an algorithm.
no code implementations • 12 Mar 2014 • Ashton Anderson, Daniel Huttenlocher, Jon Kleinberg, Jure Leskovec
We also report on a large-scale deployment of badges as incentives for engagement in a MOOC, including randomized experiments in which the presentation of badges was varied across sub-populations.