Papers by Zifeng Ren

2 papers
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs (2024.lrec-main)

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Challenge: Existing work on document visual question answering fails to capture the differences and correlations between elements of a document and associated questions.
Approach: They propose a document-visual question-answering challenge that exploits element-level semantics and employs hierarchical Graph structures to capture differences and correlations between elements.
Outcome: The proposed model surpasses the state-of-the-art method and large language model in terms of Exact Match (EM) metric, demonstrating exceptional effectiveness.
Ask-before-Plan: Proactive Language Agents for Real-World Planning (2024.findings-emnlp)

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Challenge: despite the advancements of large language models, the potential of LLM-powered agents to comprehend ambiguous user instructions is still under exploration.
Approach: They propose a task that requires agents to predict clarification needs based on conversation and agentenvironment interaction and generate a plan to fulfill the user's demands.
Outcome: The proposed framework is based on a new ask-before-plan benchmark dataset.

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