Research map / Vision-language and multimodal / Visual question answering
Inference on Syntactic and Semantic Structures for Machine Comprehension
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Machine Comprehension Using Match-LSTM and Answer Pointer (ICLR 2017 · similarity 0.86)
- Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets (AAAI 2020 · similarity 0.85)
- Making Retrieval-Augmented Language Models Robust to Irrelevant Context (ICLR 2024 · similarity 0.85)
- Potemkin Understanding in Large Language Models (ICML 2025 · similarity 0.84)
- Fact-Driven Logical Reasoning for Machine Reading Comprehension (AAAI 2024 · similarity 0.84)
- SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs (ICLR 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.