Papers by Tingfeng Luo

2 papers
ActionIE: Action Extraction from Scientific Literature with Programming Languages (2024.acl-long)

Copied to clipboard

Challenge: a method that extracts experimental procedures from human language into actionable sequences in robotics language is challenging given the complexity of the instructions and context-dependent nature of the instruction.
Approach: They propose a method that converts actions written in natural language into Python code that can be easily translated into robotics language.
Outcome: The proposed method can extract experimental procedures from human language into actionable sequences in robotics language.
IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation (2026.acl-long)

Copied to clipboard

Challenge: Generated infographics may appear correct at first glance but contain easily overlooked issues, such as distorted data encoding or incorrect textual content.
Approach: They propose to evaluate reliability of text-to-infographic generation using IGenBench . they employ multimodal large language models to verify each question .
Outcome: The proposed framework decomposes reliability verification into atomic yes/no questions based on a taxonomy of 10 question types.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations