no code implementations • 18 Apr 2024 • Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Deyu Fu, Donovan Ong, Eric Chen, Eugenie Lamprecht, Hai Pham, Isaac Ong, Kaloyan Aleksiev, Lei LI, Matthew Henderson, Max Bain, Mikel Artetxe, Nishant Relan, Piotr Padlewski, Qi Liu, Ren Chen, Samuel Phua, Yazheng Yang, Yi Tay, Yuqi Wang, Zhongkai Zhu, Zhihui Xie
On text benchmarks, Core not only performs competitively to other frontier models on a set of well-established benchmarks (e. g. MMLU, GSM8K) but also outperforms GPT4-0613 on human evaluation.
1 code implementation • 28 Nov 2023 • Junyi Zhang, Charles Herrmann, Junhwa Hur, Eric Chen, Varun Jampani, Deqing Sun, Ming-Hsuan Yang
This paper identifies the importance of being geometry-aware for semantic correspondence and reveals a limitation of the features of current foundation models under simple post-processing.
Ranked #1 on Semantic correspondence on PF-PASCAL
1 code implementation • 26 Oct 2023 • Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
Deep reinforcement learning methods exhibit impressive performance on a range of tasks but still struggle on hard exploration tasks in large environments with sparse rewards.
1 code implementation • 11 Jul 2023 • Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
Agents build and use a local map to predict their observations; high surprisal leads to a "fragmentation event" that truncates the local map.
no code implementations • 12 Apr 2023 • Daniel Golovin, Gabor Bartok, Eric Chen, Emily Donahue, Tzu-Kuo Huang, Efi Kokiopoulou, Ruoyan Qin, Nikhil Sarda, Justin Sybrandt, Vincent Tjeng
We are living in a golden age of machine learning.
1 code implementation • 14 Nov 2022 • Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal
However, on easy exploration tasks, the agent gets distracted by intrinsic rewards and performs unnecessary exploration even when sufficient task (also called extrinsic) reward is available.
1 code implementation • 20 May 2022 • Katrina Yezzi-Woodley, Alexander Terwilliger, Jiafeng Li, Eric Chen, Martha Tappen, Jeff Calder, Peter J. Olver
Distinguishing agents of bone modification at paleoanthropological sites is at the root of much of the research directed at understanding early hominin exploitation of large animal resources and the effects those subsistence behaviors had on early hominin evolution.
1 code implementation • 21 May 2021 • Eric Chen, Justin Chu, Jessica Zhang, Rene L. Warren, Inanc Birol
Short-read DNA sequencing instruments can yield over 1e+12 bases per run, typically composed of reads 150 bases long.
no code implementations • 25 Feb 2021 • Pak-Yeung Chan, Eric Chen, Man-Chun Lee
We show that a complete Ricci flow of bounded curvature which begins from a manifold with a Ricci lower bound, local entropy bound, and small local scale-invariant integral curvature control will have global point-wise curvature control at positive times.
Differential Geometry
no code implementations • 15 Feb 2021 • Eric Chen, Yi Wang
We study the Yamabe flow starting from an asymptotically flat manifold $(M^n, g_0)$.
Differential Geometry Analysis of PDEs 53C18, 53Exx
no code implementations • LREC 2020 • Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan
We present a multimodal corpus for sentiment analysis based on the existing Switchboard-1 Telephone Speech Corpus released by the Linguistic Data Consortium.