Search Results for author: Qian Yang

Found 34 papers, 13 papers with code

Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency Comparison

no code implementations10 Jul 2024 Qian Yang, Weixiang Yan, Aishwarya Agrawal

Despite tremendous advancements, current state-of-the-art Vision-Language Models (VLMs) are still far from perfect.

CodeHalu: Code Hallucinations in LLMs Driven by Execution-based Verification

1 code implementation30 Apr 2024 Yuchen Tian, Weixiang Yan, Qian Yang, Qian Chen, Wen Wang, Ziyang Luo, Lei Ma

Large Language Models (LLMs) have made significant progress in code generation, providing developers with unprecedented automated programming support.

Code Generation Hallucination

A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education

no code implementations27 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.

Chatbot

AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

no code implementations12 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.

2k Automatic Speech Recognition +4

Exploring the Best Practices of Query Expansion with Large Language Models

1 code implementation12 Jan 2024 Le Zhang, Yihong Wu, Qian Yang, Jian-Yun Nie

Large Language Models (LLMs) are foundational in language technologies, particularly in information retrieval (IR).

Information Retrieval Re-Ranking +3

Leveraging Generative AI for Clinical Evidence Summarization Needs to Ensure Trustworthiness

no code implementations19 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.

The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice

no code implementations2 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.

Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis

no code implementations14 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.

In-Context Learning Language Modelling +3

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

no code implementations6 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.

Attribute Inductive Bias +3

Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts

1 code implementation17 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.

Position Text Simplification

Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation

1 code implementation16 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.

Answer Generation Decoder +4

Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing

no code implementations16 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.

Change Detection Defect Detection +2

Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech

1 code implementation5 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).

Polyphone disambiguation

CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities

1 code implementation18 Jan 2022 Mina Lee, Percy Liang, Qian Yang

Large language models (LMs) offer unprecedented language generation capabilities and exciting opportunities for interaction design.

Language Modelling Text Generation

Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir"

no code implementations1 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.

Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure

no code implementations31 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.

Sentence-level Online Handwritten Chinese Character Recognition

no code implementations4 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.

Sentence Word Embeddings

FLOP: Federated Learning on Medical Datasets using Partial Networks

no code implementations10 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.

Federated Learning

Fluctuation spectra of large random dynamical systems reveal hidden structure in ecological networks

no code implementations10 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.

Open-Ended Question Answering

Faster On-Device Training Using New Federated Momentum Algorithm

no code implementations6 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.

Federated Learning

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

no code implementations20 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.

Multi-Task Learning Type prediction

Two Case Studies of Experience Prototyping Machine Learning Systems in the Wild

no code implementations21 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".

BIG-bench Machine Learning Decision Making +1

Learning Compressed Sentence Representations for On-Device Text Processing

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.

Retrieval Sentence +1

Decoupled Parallel Backpropagation with Convergence Guarantee

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.

Neural Machine Translation with Pivot Languages

no code implementations15 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.

Machine Translation Translation

Cannot find the paper you are looking for? You can Submit a new open access paper.