41 citations · 74 across the 10 of their papers we have counts for
10 papers
WARC-Bench: Web Archive Based Benchmark for GUI Subtask Executions
Sanjari Srivastava, Gang Li, Cheng Chang +8
Training web agents to navigate complex, real-world websites requires them to master - short-horizon interactions on multiple UI components (e.g., choosing the…
Distilling Text Style Transfer With Self-Explanation From LLMs
Chiyu Zhang, Honglong Cai, Yuezhang +4
Text Style Transfer (TST) seeks to alter the style of text while retaining its core content. Given the constraints of limited parallel datasets for TST, we propose CoTeX, a framewo…
Data Troubles in Sentence Level Confidence Estimation for Machine Translation
Ciprian Chelba, Junpei Zhou, Yuezhang +4
The paper investigates the feasibility of confidence estimation for neural machine translation models operating at the high end of the performance spectrum. As a side product of th…
Practical Perspectives on Quality Estimation for Machine Translation
Junpei Zhou, Ciprian Chelba, Yuezhang +1
Sentence level quality estimation (QE) for machine translation (MT) attempts to predict the translation edit rate (TER) cost of post-editing work required to correct MT output. We…
Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds
Rahul Radhakrishnan Iyer, Ronghuo Zheng, Yuezhang Li +1
Sentiment Analysis of microblog feeds has attracted considerable interest in recent times. Most of the current work focuses on tweet sentiment classification. But not much work has…
Object-sensitive Deep Reinforcement Learning
Yuezhang Li, Katia Sycara, Rahul Iyer
Deep reinforcement learning has become popular over recent years, showing superiority on different visual-input tasks such as playing Atari games and robot navigation. Although obj…
Transparency and Explanation in Deep Reinforcement Learning Neural Networks
Rahul Iyer, Yuezhang Li, Huao Li +3
Autonomous AI systems will be entering human society in the near future to provide services and work alongside humans. For those systems to be accepted and trusted, the users shoul…
Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification
Yuezhang Li, Ronghuo Zheng, Tian Tian +3
Due to the lack of structured knowledge applied in learning distributed representation of cate- gories, existing work cannot incorporate category hierarchies into entity informatio…
Joint Embeddings of Hierarchical Categories and Entities
Yuezhang Li, Ronghuo Zheng, Tian Tian +3
Due to the lack of structured knowledge applied in learning distributed representation of categories, existing work cannot incorporate category hierarchies into entity information.…
Machine Comprehension Based on Learning to Rank
Tian Tian, Yuezhang Li
Machine comprehension plays an essential role in NLP and has been widely explored with dataset like MCTest. However, this dataset is too simple and too small for learning true reas…