b'Zhou Yu'

research

∙ 08/29/2023

ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer

Textual style transfer is the task of transforming stylistic properties ...

0 Zachary Horvitz, et al. ∙

research

∙ 08/24/2023

MultiPA: a multi-task speech pronunciation assessment system for a closed and open response scenario

The design of automatic speech pronunciation assessment can be categoriz...

0 Yu-Wen Chen, et al. ∙

research

∙ 07/19/2023

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI

Despite advancements in conversational AI, language models encounter cha...

0 Jianguo Zhang, et al. ∙

research

∙ 07/01/2023

Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler

Filter pruning simultaneously accelerates the computation and reduces th...

0 Shaohui Lin, et al. ∙

research

∙ 05/23/2023

Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment

Designing systems that can reason across cultures requires that they are...

0 Sky CH-Wang, et al. ∙

research

∙ 05/06/2023

Controllable Mixed-Initiative Dialogue Generation through Prompting

Mixed-initiative dialogue tasks involve repeated exchanges of informatio...

0 Maximillian Chen, et al. ∙

research

∙ 05/04/2023

ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos

Building benchmarks to systemically analyze different capabilities of vi...

0 Zhou Yu, et al. ∙

research

∙ 04/28/2023

AI Safety Subproblems for Software Engineering Researchers

In this 4-page manuscript we discuss the problem of long-term AI Safety ...

0 David Gros, et al. ∙

research

∙ 04/11/2023

User Adaptive Language Learning Chatbots with a Curriculum

Along with the development of systems for natural language understanding...

0 Kun Qian, et al. ∙

research

∙ 03/15/2023

PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs

Research interest in task-oriented dialogs has increased as systems such...

0 Rahul Goel, et al. ∙

research

∙ 03/08/2023

FaceChat: An Emotion-Aware Face-to-face Dialogue Framework

While current dialogue systems like ChatGPT have made significant advanc...

0 Deema Alnuhait, et al. ∙

research

∙ 03/03/2023

Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering

Knowledge-based visual question answering (VQA) requires external knowle...

0 Zhenwei Shao, et al. ∙

research

∙ 03/02/2023

Mixture of Soft Prompts for Controllable Data Generation

Large language models (LLMs) effectively generate fluent text when the t...

0 Derek Chen, et al. ∙

research

∙ 02/24/2023

Pre-Finetuning for Few-Shot Emotional Speech Recognition

Speech models have long been known to overfit individual speakers for ma...

0 Maximillian Chen, et al. ∙

research

∙ 02/24/2023

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Large language models (LLMs), such as ChatGPT, are able to generate huma...

0 Baolin Peng, et al. ∙

research

∙ 02/12/2023

Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking

Prompt-based methods with large pre-trained language models (PLMs) have ...

0 Derek Chen, et al. ∙

research

∙ 12/20/2022

In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models

Given the success with in-context learning of large pre-trained language...

0 Yukun Huang, et al. ∙

research

∙ 12/20/2022

DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization

Dialogue summarization has recently garnered significant attention due t...

0 Yu Li, et al. ∙

research

∙ 12/19/2022

MIGA: A Unified Multi-task Generation Framework for Conversational Text-to-SQL

Conversational text-to-SQL is designed to translate multi-turn natural l...

0 Yingwen Fu, et al. ∙

research

∙ 12/06/2022

Sources of Noise in Dialogue and How to Deal with Them

Training dialogue systems often entails dealing with noisy training exam...

0 Derek Chen, et al. ∙

research

∙ 12/01/2022

Focus! Relevant and Sufficient Context Selection for News Image Captioning

News Image Captioning requires describing an image by leveraging additio...

0 Mingyang Zhou, et al. ∙

research

∙ 11/30/2022

Reinforced Language Modeling for End-to-End Task Oriented Dialog

In task-oriented dialogs such as MultiWoZ (Budzianowski et al., 2018), a...

0 Xiao Yu, et al. ∙

research

∙ 11/22/2022

AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies

Existing approaches built separate classifiers to detect nonsense in dia...

0 Weiyan Shi, et al. ∙

research

∙ 10/22/2022

Robots-Dont-Cry: Understanding Falsely Anthropomorphic Utterances in Dialog Systems

Dialog systems are often designed or trained to output human-like respon...

0 David Gros, et al. ∙

research

∙ 10/17/2022

Affective Idiosyncratic Responses to Music

Affective responses to music are highly personal. Despite consensus that...

0 Sky CH-Wang, et al. ∙

research

∙ 10/11/2022

Social Influence Dialogue Systems: A Scoping Survey of the Efforts Towards Influence Capabilities of Dialogue Systems

Dialogue systems capable of social influence such as persuasion, negotia...

7 Kushal Chawla, et al. ∙

research

∙ 09/16/2022

On the Relation between Sensitivity and Accuracy in In-context Learning

In-context learning (ICL) suffers from oversensitivity to the prompt, wh...

5 Yanda Chen, et al. ∙

research

∙ 09/15/2022

Stateful Memory-Augmented Transformers for Dialogue Modeling

Transformer encoder-decoder models have shown impressive performance in ...

0 Qingyang Wu, et al. ∙

research

∙ 07/31/2022

Using Chatbots to Teach Languages

This paper reports on progress towards building an online language learn...

0 Yu Li, et al. ∙

research

∙ 06/22/2022

GODEL: Large-Scale Pre-Training for Goal-Directed Dialog

We introduce GODEL (Grounded Open Dialogue Language Model), a large pre-...

0 Baolin Peng, et al. ∙

research

∙ 05/25/2022

Learning a Better Initialization for Soft Prompts via Meta-Learning

Prompt tuning (PT) is an effective approach to adapting pre-trained lang...

0 Yukun Huang, et al. ∙

research

∙ 04/15/2022

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models

With the increasing adoption of NLP models in real-world products, it be...

0 Weiyan Shi, et al. ∙

research

∙ 03/26/2022

Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension

Question answering (QA) is a fundamental means to facilitate assessment ...

18 Ying Xu, et al. ∙

research

∙ 03/24/2022

Towards Efficient and Elastic Visual Question Answering with Doubly Slimmable Transformer

Transformer-based approaches have shown great success in visual question...

0 Zhou Yu, et al. ∙

research

∙ 03/18/2022

Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges

This is a report on the NSF Future Directions Workshop on Automatic Eval...

6 Shikib Mehri, et al. ∙

research

∙ 03/15/2022

FastKASSIM: A Fast Tree Kernel-Based Syntactic Similarity Metric

Syntax is a fundamental component of language, yet few metrics have been...

0 Maximillian Chen, et al. ∙

research

∙ 03/15/2022

Seamlessly Integrating Factual Information and Social Content with Persuasive Dialogue

Effective human-chatbot conversations need to achieve both coherence and...

0 Maximillian Chen, et al. ∙

research

∙ 03/01/2022

Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment

Vision-and-Language (V+L) pre-training models have achieved tremendous s...

3 Mingyang Zhou, et al. ∙

research

∙ 02/10/2022

Random Forests Weighted Local Fréchet Regression with Theoretical Guarantee

Statistical analysis is increasingly confronted with complex data from g...

0 Rui Qiu, et al. ∙

research

∙ 12/24/2021

Optimal Model Averaging of Support Vector Machines in Diverging Model Spaces

Support vector machine (SVM) is a powerful classification method that ha...

0 Chaoxia Yuan, et al. ∙

research

∙ 12/15/2021

Insta-VAX: A Multimodal Benchmark for Anti-Vaccine and Misinformation Posts Detection on Social Media

Sharing of anti-vaccine posts on social media, including misinformation ...

0 Mingyang Zhou, et al. ∙

research

∙ 12/15/2021

ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error Correction

Currently available grammatical error correction (GEC) datasets are comp...

0 Xun Yuan, et al. ∙

research

∙ 12/15/2021

Database Search Results Disambiguation for Task-Oriented Dialog Systems

As task-oriented dialog systems are becoming increasingly popular in our...

0 Kun Qian, et al. ∙

research

∙ 12/15/2021

DG2: Data Augmentation Through Document Grounded Dialogue Generation

Collecting data for training dialog systems can be extremely expensive d...

0 Qingyang Wu, et al. ∙

research

∙ 12/15/2021

AllWOZ: Towards Multilingual Task-Oriented Dialog Systems for All

A commonly observed problem of the state-of-the-art natural language tec...

0 Lei Zuo, et al. ∙

research

∙ 12/15/2021

Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information

Conversational recommendation systems (CRS) engage with users by inferri...

0 Bowen Yang, et al. ∙

research

∙ 12/15/2021

Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation

Knowledge-grounded dialogue systems are challenging to build due to the ...

0 Yu Li, et al. ∙

research

∙ 11/23/2021

A Global Two-stage Algorithm for Non-convex Penalized High-dimensional Linear Regression Problems

By the asymptotic oracle property, non-convex penalties represented by m...

0 Peili Li, et al. ∙

research

∙ 10/25/2021

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning

Current visual question answering (VQA) tasks mainly consider answering ...

2 Pan Lu @ UCLA, et al. ∙

research

∙ 10/15/2021

Learning with Noisy Labels by Targeted Relabeling

Crowdsourcing platforms are often used to collect datasets for training ...

0 Derek Chen, et al. ∙

Zhou Yu

Featured Co-authors