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Achievement: Pull SharkAchievement: Starstruckx3Achievement: Arctic Code Vault Contributor

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khuangaf/README.md

What's up!

I am a Computer Science Ph.D. candidate at the University of Illinois Urbana-Champaign, advised by Prof. Heng Ji. My research interest lies in fact-checking, corrective explanations for misinformation, and factually consistent text generation. Previously, I got my Bachelor's degree from the Hong Kong University of Science and Technology and my Master's degree from the University of Southern California.

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  1. Awesome-Chart-Understanding Awesome-Chart-Understanding Public

    A curated list of recent and past chart understanding work based on our survey paper: From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.

    162 16

  2. CHOCOLATE CHOCOLATE Public

    Code and data for the ACL 2024 Findings paper "Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning"

    Jupyter Notebook 23

  3. ZeroFEC ZeroFEC Public

    Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"

    Python 17 4

  4. FakingFakeNews FakingFakeNews Public

    Official implementation of the ACL 2023 paper: "Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation"

    Python 26 3

  5. salesforce/DiverseSumm salesforce/DiverseSumm Public

    Code and data for the NAACL 2024 paper "Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles"

    Python 8

  6. SalesforceAIResearch/CRMArena SalesforceAIResearch/CRMArena Public

    CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments

    Python 1