no code implementations • 27 Feb 2024 • Michael A. Hedderich, Natalie N. Bazarova, Wenting Zou, Ryun Shim, Xinda Ma, Qian Yang
In offering this tool, we explore teachers' distinctive needs when designing chatbots to assist their teaching, and how chatbot design tools might better support them.
no code implementations • 12 Feb 2024 • Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, YuanJun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou
By revealing the limitations of existing LALMs through evaluation results, AIR-Bench can provide insights into the direction of future research.
1 code implementation • 12 Jan 2024 • Le Zhang, Qian Yang, Yihong Wu
Large Language Models (LLMs) have emerged as a pivotal force in language technology.
no code implementations • 19 Nov 2023 • Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L. Cole, Qian Yang, Yanshan Wang, Bradley A. Malin, Mor Peleg, Byron C. Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng
Evidence-based medicine promises to improve the quality of healthcare by empowering medical decisions and practices with the best available evidence.
2 code implementations • 14 Nov 2023 • Yunfei Chu, Jin Xu, Xiaohuan Zhou, Qian Yang, Shiliang Zhang, Zhijie Yan, Chang Zhou, Jingren Zhou
Recently, instruction-following audio-language models have received broad attention for audio interaction with humans.
Ranked #1 on Acoustic Scene Classification on TUT Acoustic Scenes 2017 (using extra training data)
no code implementations • 2 Oct 2023 • Fernando Delgado, Stephen Yang, Michael Madaio, Qian Yang
Despite the growing consensus that stakeholders affected by AI systems should participate in their design, enormous variation and implicit disagreements exist among current approaches.
no code implementations • 14 Jul 2023 • Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Zhenhui Ye, Shengpeng Ji, Qian Yang, Chen Zhang, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao
However, the prompting mechanisms of zero-shot TTS still face challenges in the following aspects: 1) previous works of zero-shot TTS are typically trained with single-sentence prompts, which significantly restricts their performance when the data is relatively sufficient during the inference stage.
no code implementations • 6 Jun 2023 • Ziyue Jiang, Yi Ren, Zhenhui Ye, Jinglin Liu, Chen Zhang, Qian Yang, Shengpeng Ji, Rongjie Huang, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao
3) We further use a VQGAN-based acoustic model to generate the spectrogram and a latent code language model to fit the distribution of prosody, since prosody changes quickly over time in a sentence, and language models can capture both local and long-range dependencies.
1 code implementation • 17 Feb 2023 • Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga, Qian Yang
Automatic medical text simplification can assist providers with patient-friendly communication and make medical texts more accessible, thereby improving health literacy.
no code implementations • 16 Dec 2022 • Yushuo Niu, Ethan Chadwick, Anson W. K. Ma, Qian Yang
In this work, we approach the defect detection problem using a novel Semi-Siamese deep learning model that directly compares a reference schematic of the desired print and a camera image of the achieved print.
1 code implementation • 16 Dec 2022 • Qian Yang, Qian Chen, Wen Wang, Baotian Hu, Min Zhang
Moreover, the pipelined approaches of retrieval and generation might result in poor generation performance when retrieval performance is low.
no code implementations • 17 Oct 2022 • Jacqueline R. M. A. Maasch, Hao Zhang, Qian Yang, Fei Wang, Volodymyr Kuleshov
The cost of manual data labeling can be a significant obstacle in supervised learning.
1 code implementation • 23 Jul 2022 • Qian Yang, Yunxin Li, Baotian Hu, Lin Ma, Yuxing Ding, Min Zhang
CSI), a relation inferrer, and a Lexical Constraint-aware Generator (arr.
1 code implementation • 5 Jun 2022 • Ziyue Jiang, Zhe Su, Zhou Zhao, Qian Yang, Yi Ren, Jinglin Liu, Zhenhui Ye
This paper tackles the polyphone disambiguation problem from a concise and novel perspective: we propose Dict-TTS, a semantic-aware generative text-to-speech model with an online website dictionary (the existing prior information in the natural language).
1 code implementation • 18 Jan 2022 • Mina Lee, Percy Liang, Qian Yang
Large language models (LMs) offer unprecedented language generation capabilities and exciting opportunities for interaction design.
no code implementations • 1 Nov 2021 • Fernando Delgado, Stephen Yang, Michael Madaio, Qian Yang
There is a growing consensus in HCI and AI research that the design of AI systems needs to engage and empower stakeholders who will be affected by AI.
no code implementations • 31 Oct 2021 • BoJian Hou, Hao Zhang, Gur Ladizhinsky, Stephen Yang, Volodymyr Kuleshov, Fei Wang, Qian Yang
As a result, clinicians cannot easily or rapidly scrutinize the CDSS recommendation when facing a difficult diagnosis or treatment decision in practice.
no code implementations • 4 Jul 2021 • Yunxin Li, Qian Yang, Qingcai Chen, Lin Ma, Baotian Hu, Xiaolong Wang, Yuxin Ding
Single online handwritten Chinese character recognition~(single OLHCCR) has achieved prominent performance.
no code implementations • 10 Feb 2021 • Qian Yang, Jianyi Zhang, Weituo Hao, Gregory Spell, Lawrence Carin
While different data-driven deep learning models have been developed to mitigate the diagnosis of COVID-19, the data itself is still scarce due to patient privacy concerns.
no code implementations • 10 Nov 2020 • Yvonne Krumbeck, Qian Yang, George W. A. Constable, Tim Rogers
Understanding the relationship between complexity and stability in large dynamical systems -- such as ecosystems -- remains a key open question in complexity theory which has inspired a rich body of work developed over more than fifty years.
no code implementations • EMNLP 2020 • Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
An extension is further proposed to improve the OT learning, based on the structural and contextual information of the text sequences.
2 code implementations • 17 May 2020 • Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang
Recommendation Systems (RS) have become an essential part of many online services.
no code implementations • 6 Feb 2020 • Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin. Heng Huang
Mobile crowdsensing has gained significant attention in recent years and has become a critical paradigm for emerging Internet of Things applications.
no code implementations • 20 Nov 2019 • Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
We propose a novel graph-driven generative model, that unifies multiple heterogeneous learning tasks into the same framework.
no code implementations • IJCNLP 2019 • Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin
Generating high-quality paraphrases is a fundamental yet challenging natural language processing task.
no code implementations • 21 Oct 2019 • Qian Yang
When writing with the prototype, however, authors shared that they need to "see where the sentence is going two paragraphs later" in order to decide whether the suggestion aligns with their writing; Some even considered adopting machine suggestions as plagiarism, therefore "is simply wrong".
1 code implementation • NeurIPS 2019 • Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
This paper considers a novel variational formulation of network embeddings, with special focus on textual networks.
1 code implementation • NeurIPS 2019 • Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin
Model parallelism is required if a model is too large to fit in a single computing device.
1 code implementation • ACL 2019 • Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin
Vector representations of sentences, trained on massive text corpora, are widely used as generic sentence embeddings across a variety of NLP problems.
no code implementations • 21 Apr 2019 • Qian Yang, Aaron Steinfeld, John Zimmerman
This paper describes the design and field evaluation of a radically new form of DST.
3 code implementations • ICML 2018 • Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang
The backward locking in backpropagation algorithm constrains us from updating network layers in parallel and fully leveraging the computing resources.
no code implementations • 15 Nov 2016 • Yong Cheng, Yang Liu, Qian Yang, Maosong Sun, Wei Xu
While recent neural machine translation approaches have delivered state-of-the-art performance for resource-rich language pairs, they suffer from the data scarcity problem for resource-scarce language pairs.