1 code implementation • 27 Nov 2023 • Kevin Liu, Stephen Casper, Dylan Hadfield-Menell, Jacob Andreas
This has led some researchers to conclude that LMs "lie" or otherwise encode non-cooperative communicative intents.
no code implementations • 22 Nov 2023 • Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang
We build Nova$^+$ to further boost Nova using two new pre-training tasks, i. e., optimization generation and optimization level prediction, which are designed to learn binary optimization and align equivalent binaries.
1 code implementation • 1 May 2023 • Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete
The measure of a machine learning algorithm is the difficulty of the tasks it can perform, and sufficiently difficult tasks are critical drivers of strong machine learning models.
no code implementations • 15 Sep 2022 • Kevin Liu, Julien DeMori, Kobi Abayomi
We conduct four experiments, each containing a different set of known and unknown classes, using the GTZAN and the FMA datasets to establish a baseline capacity for novel genre detection.
1 code implementation • 30 Jun 2022 • Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosič, Jure Leskovec
In this work, we introduce Zero-shot Concept Recognition and Acquisition (ZeroC), a neuro-symbolic architecture that can recognize and acquire novel concepts in a zero-shot way.
1 code implementation • 31 Dec 2021 • Iddo Drori, Sarah Zhang, Reece Shuttleworth, Leonard Tang, Albert Lu, Elizabeth Ke, Kevin Liu, Linda Chen, Sunny Tran, Newman Cheng, Roman Wang, Nikhil Singh, Taylor L. Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, Gilbert Strang
We automatically synthesize programs using few-shot learning and OpenAI's Codex transformer and execute them to solve course problems at 81% automatic accuracy.
no code implementations • SEMEVAL 2021 • Erik Rozi, Niveditha Iyer, Gordon Chi, Enok Choe, Kathy J. Lee, Kevin Liu, Patrick Liu, Zander Lack, Jillian Tang, Ethan A. Chi
This paper presents our system for the single- and multi-word lexical complexity prediction tasks of SemEval Task 1: Lexical Complexity Prediction.
no code implementations • 14 Feb 2019 • Guy Aridor, Kevin Liu, Aleksandrs Slivkins, Zhiwei Steven Wu
We empirically study the interplay between exploration and competition.
no code implementations • 11 Dec 2018 • Artidoro Pagnoni, Kevin Liu, Shangyan Li
We explore the performance of latent variable models for conditional text generation in the context of neural machine translation (NMT).