Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Lyu Zhiheng"'
Publikováno v:
BIO Web of Conferences, Vol 129, p 07002 (2024)
Externí odkaz:
https://doaj.org/article/41f92a4bde0c4224aad3f9fad2031126
Autor:
Wang, Mingzhan, Xiong, Qinsi, Yan, Gangbin, Han, Yu, Yue, Xiaolin, Lyu, Zhiheng, Li, Zhen, Sun, Leeann, Hoenig, Eli, Xu, Kangli, Lewis, Nicholas H. C., Merz, Jr., Kenneth M., Chen, Qian, Schatz, George C., Liu, Chong
Significant success has been achieved in fabricating angstrom-scale artificial solid ionic channels aiming to replicate the biological ion channels (BICs).Besides high selectivity, BICs also exhibit sophisticated ion gating and interplay. However, su
Externí odkaz:
http://arxiv.org/abs/2410.08798
While accurately detecting and correcting factual contradictions in language model outputs has become increasingly important as their capabilities improve, doing so is highly challenging. We propose a novel method, FACTTRACK, for tracking atomic fact
Externí odkaz:
http://arxiv.org/abs/2407.16347
Autor:
He, Xuan, Jiang, Dongfu, Zhang, Ge, Ku, Max, Soni, Achint, Siu, Sherman, Chen, Haonan, Chandra, Abhranil, Jiang, Ziyan, Arulraj, Aaran, Wang, Kai, Do, Quy Duc, Ni, Yuansheng, Lyu, Bohan, Narsupalli, Yaswanth, Fan, Rongqi, Lyu, Zhiheng, Lin, Yuchen, Chen, Wenhu
The recent years have witnessed great advances in video generation. However, the development of automatic video metrics is lagging significantly behind. None of the existing metric is able to provide reliable scores over generated videos. The main ba
Externí odkaz:
http://arxiv.org/abs/2406.15252
Autor:
Lyu, Zhiheng, Jin, Zhijing, Gonzalez, Fernando, Mihalcea, Rada, Schölkopf, Bernhard, Sachan, Mrinmaya
Sentiment analysis (SA) aims to identify the sentiment expressed in a text, such as a product review. Given a review and the sentiment associated with it, this work formulates SA as a combination of two tasks: (1) a causal discovery task that disting
Externí odkaz:
http://arxiv.org/abs/2404.11055
Autor:
Lyu, Zhiheng, Yang, Jiannan, Xu, Zhongzhi, Wang, Weilan, Cheng, Weibin, Tsui, Kwok-Leung, Tse, Gary, Zhang, Qingpeng
We develop a deep learning model, ABioSPATH, to predict the one-year risk of ischemic stroke (IS) in atrial fibrillation (AF) patients. The model integrates drug-protein-disease pathways and real-world clinical data of AF patients to generate the IS
Externí odkaz:
http://arxiv.org/abs/2403.07475
Autor:
Jin, Zhijing, Chen, Yuen, Leeb, Felix, Gresele, Luigi, Kamal, Ojasv, Lyu, Zhiheng, Blin, Kevin, Adauto, Fernando Gonzalez, Kleiman-Weiner, Max, Sachan, Mrinmaya, Schölkopf, Bernhard
The ability to perform causal reasoning is widely considered a core feature of intelligence. In this work, we investigate whether large language models (LLMs) can coherently reason about causality. Much of the existing work in natural language proces
Externí odkaz:
http://arxiv.org/abs/2312.04350
Autor:
Jin, Zhijing, Liu, Jiarui, Lyu, Zhiheng, Poff, Spencer, Sachan, Mrinmaya, Mihalcea, Rada, Diab, Mona, Schölkopf, Bernhard
Causal inference is one of the hallmarks of human intelligence. While the field of CausalNLP has attracted much interest in the recent years, existing causal inference datasets in NLP primarily rely on discovering causality from empirical knowledge (
Externí odkaz:
http://arxiv.org/abs/2306.05836
Autor:
Ding, Yiwen, Liu, Jiarui, Lyu, Zhiheng, Zhang, Kun, Schoelkopf, Bernhard, Jin, Zhijing, Mihalcea, Rada
While several previous studies have analyzed gender bias in research, we are still missing a comprehensive analysis of gender differences in the AI community, covering diverse topics and different development trends. Using the AI Scholar dataset of 7
Externí odkaz:
http://arxiv.org/abs/2305.14597
Autor:
Lyu, Zhiheng, Jin, Zhijing, Mattern, Justus, Mihalcea, Rada, Sachan, Mrinmaya, Schoelkopf, Bernhard
NLP datasets are richer than just input-output pairs; rather, they carry causal relations between the input and output variables. In this work, we take sentiment classification as an example and look into the causal relations between the review (X) a
Externí odkaz:
http://arxiv.org/abs/2305.01764