1 code implementation • 26 Mar 2024 • Yichen Huang, Ekaterina Kochmar
Text simplification lacks a universal standard of quality, and annotated reference simplifications are scarce and costly.
1 code implementation • 1 Nov 2023 • Yichen Huang, Timothy Baldwin
We investigate MT evaluation metric performance on adversarially-synthesized texts, to shed light on metric robustness.
1 code implementation • NeurIPS 2023 • Xuanjie Liu, Daniel Chin, Yichen Huang, Gus Xia
We have recently seen great progress in learning interpretable music representations, ranging from basic factors, such as pitch and timbre, to high-level concepts, such as chord and texture.
1 code implementation • 7 Dec 2021 • Yichen Huang, Yuchen Wang, Yik-Cheung Tam
Our model ranks second in the official evaluation on the object coreference resolution task with an F1 score of 73. 3% after model ensembling.
no code implementations • 21 Dec 2020 • Deng Cai, Yizhe Zhang, Yichen Huang, Wai Lam, Bill Dolan
We propose the task of narrative incoherence detection as a new arena for inter-sentential semantic understanding: Given a multi-sentence narrative, decide whether there exist any semantic discrepancies in the narrative flow.
no code implementations • ICML 2020 • Saeed Amizadeh, Hamid Palangi, Oleksandr Polozov, Yichen Huang, Kazuhito Koishida
To address this, we propose (1) a framework to isolate and evaluate the reasoning aspect of VQA separately from its perception, and (2) a novel top-down calibration technique that allows the model to answer reasoning questions even with imperfect perception.
1 code implementation • ACL 2020 • Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng
Missing sentence generation (or sentence infilling) fosters a wide range of applications in natural language generation, such as document auto-completion and meeting note expansion.
no code implementations • 13 Nov 2017 • Yichen Huang
The state-of-the-art approaches for image classification are based on neural networks.
no code implementations • 24 Nov 2014 • Yichen Huang
We show that the two-dimensional (2D) local Hamiltonian problem with the constraint that the ground state obeys area laws is QMA-complete.
Strongly Correlated Electrons Quantum Physics