Browse State-of-the-Art › Science Question Answering
Science Question Answering
15 papers with code · 1 benchmark · 4 datasets archive 2025-07-28
Image credit: Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| ScienceQA (10 rows) | MC-CoT F-Large | Boosting the Power of Small Multimodal Reasoning Models to Match... | code | Syntology ran 1 of 1 samples · 0 unverified | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
15 shown of 15 papers with code (23 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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14 Nov 2023 4 repositories listedLarge language models have demonstrated impressive universal capabilities across a wide range of open-ended tasks and have extended their utility to encompass multimodal conversations.
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2 Feb 2023 3 repositories listed Syntology ran 6 of 11 samples · 5 unverified · 1 pointer-only (licence)Experimental results on ScienceQA and A-OKVQA benchmark datasets show the effectiveness of our proposed approach.
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23 Aug 2023 2 repositories listedDrawing inspiration from the orchestration of diverse specialized agents collaborating to tackle intricate tasks, we propose a framework named Causal-Consistency Chain-of-Thought (CaCo-CoT) that harnesses multi-agent…
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16 May 2024 1 repository listedSciQAG consists of a QA generator and a QA evaluator, which work together to extract diverse and research-level questions and answers from scientific papers.
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5 Feb 2024 1 repository listed Syntology ran 3 of 5 samples · 2 unverified · 5 pointer-only (licence)In light of recent advances in multimodal Large Language Models (LLMs), there is increasing attention to scaling them from image-text data to more informative real-world videos.
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11 Dec 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)In Multimodal Large Language Models (MLLMs), a visual projector plays a crucial role in bridging pre-trained vision encoders with LLMs, enabling profound visual understanding while harnessing the LLMs' robust…
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23 Nov 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Remarkably, we show that even smaller base models, when equipped with our proposed approach, can achieve results comparable to those of larger models, illustrating the potential of our approach in harnessing the power…
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5 Sep 2023 1 repository listedIn recent years, cross-modal reasoning (CMR), the process of understanding and reasoning across different modalities, has emerged as a pivotal area with applications spanning from multimedia analysis to healthcare…
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24 May 2023 1 repository listedTo validate MMA, we apply it to a recent LLM called LLaMA and term this formed large vision-language instructed model as LaVIN.
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5 May 2023 1 repository listedTo address these issues, we propose a novel method termed T-SciQ that aims at teaching science question answering with LLM signals.
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29 Oct 2022 1 repository listed Syntology ran 1 of 7 samples · 6 unverifiedWe show the efficacy of our proposed approach in different tasks -- abductive reasoning, commonsense question answering, science question answering, and sentence completion.
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20 Sep 2022 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 2 pointer-only (licence)We further design language models to learn to generate lectures and explanations as the chain of thought (CoT) to mimic the multi-hop reasoning process when answering ScienceQA questions.
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7 Sep 2021 1 repository listedWe propose a novel Chain Guided Retriever-reader ({\tt CGR}) framework to model the reasoning chain for multi-hop Science Question Answering.
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25 May 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)Our framework contains three new ideas: (a) {\tt AMR-SG}, an AMR-based Semantic Graph, constructed by candidate fact AMRs to uncover any hop relations among question, answer and multiple facts.
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31 Mar 2020 1 repository listedThis paper presents a novel framework for reconstructing multi-hop explanations in science Question Answering (QA).
Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections