AFlow: Automating Agentic Workflow Generation (2024 · 95 citations)
Agentic workflows for LLMs are structured chains of model calls with instructions, and building them usually takes a lot of manual engineering.
Data Interpreter: An LLM Agent for Data Science (2025 · 91 citations)
Data science work, such as building ML pipelines, analysing tables or solving maths problems, rarely follows a simple chain of steps.
Concise Math Reasoning via Difficulty-Aware Distillation (2026)
Distilling reasoning from large models such as DeepSeek-R1 usually gives small students very long chain-of-thought traces.
Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science (2026)
Existing materials-science QA benchmarks such as MaScQA and SciQA are mostly text-only. They do not test whether multimodal models can read experimental figures and reason about them at a research level. The authors present MatVQA, a benchmark of 1,672 multiple-choice questions built from recent arXiv materials…

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

AFlow: Automating Agentic Workflow GenerationarXiv:2410.10762Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.2024 · 95 citations
Data Interpreter: An LLM Agent for Data ScienceFindings of the Association for Computational LinguisticsSirui Hong, Yizhang Lin, Bang Liu, et al.2025 · 91 citations
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetZhexue Chen et al.2021 · 81 citations
Matching Article Pairs with Graphical Decomposition and Convolutions ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetBang Liu et al.2019 · 59 citations
Concise Math Reasoning via Difficulty-Aware DistillationFindings of the Association for Computational LinguisticsYifan Wu, Jingze Shi, Bingheng Wu, et al.2026
Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials ScienceFindings of the Association for Computational LinguisticsSifan Wu, Huan Zhang, Yizhan Li, et al.2026

Co-authors here

12 of 14 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 167 times (of the 149,439 papers whose bibliographies we read); 47 citing papers with a page here →.

Updated 2 November 2026