Search Results for author: Furui Cheng

Found 5 papers, 2 papers with code

RELIC: Investigating Large Language Model Responses using Self-Consistency

no code implementations28 Nov 2023 Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady

To address this challenge, we propose an interactive system that helps users gain insight into the reliability of the generated text.

Language Modelling Large Language Model

ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset

no code implementations17 Aug 2022 Zhihua Jin, Xingbo Wang, Furui Cheng, Chunhui Sun, Qun Liu, Huamin Qu

Since shortcuts vary in coverage, productivity, and semantic meaning, it is challenging for NLU experts to systematically understand and avoid them when creating benchmark datasets.

Natural Language Understanding

Interactive Data Analysis with Next-step Natural Language Query Recommendation

1 code implementation13 Jan 2022 Xingbo Wang, Furui Cheng, Yong Wang, Ke Xu, Jiang Long, Hong Lu, Huamin Qu

Natural language interfaces (NLIs) provide users with a convenient way to interactively analyze data through natural language queries.

Natural Language Queries

VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models

1 code implementation4 Aug 2021 Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni

Machine learning (ML) is increasingly applied to Electronic Health Records (EHRs) to solve clinical prediction tasks.

Decision Making

DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models

no code implementations19 Aug 2020 Furui Cheng, Yao Ming, Huamin Qu

With machine learning models being increasingly applied to various decision-making scenarios, people have spent growing efforts to make machine learning models more transparent and explainable.

BIG-bench Machine Learning counterfactual +2

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