---
title: "Who cites Leveraging large language — 25 citing papers"
description: "25 papers of the Elamur Research library cite «Leveraging large language models for predictive chemistry», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/jablonka-2024-leveraging-large-language-models-predictive/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Leveraging large language models for predictive…](https://md.research.elamur.ai/free/en/papers/jablonka-2024-leveraging-large-language-models-predictive/) / cited by

# Who cites «Leveraging large language models for predictive chemistry»

25 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «Leveraging large language models for predictive chemistry»](https://md.research.elamur.ai/free/en/papers/jablonka-2024-leveraging-large-language-models-predictive/)

1. [**Empowering Biomedical Discovery with AI Agents arXiv:2404.02831**Shanghua Gao, Ada Fang, Yepeng Huang, et al.*2024 · 333 citations*](https://md.research.elamur.ai/free/en/papers/gao-2024-empowering-biomedical-discovery-ai-agents/)
2. [**A Review of Large Language Models and Autonomous Agents in Chemistry arXiv:2407.01603**Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White*2024 · 288 citations*](https://md.research.elamur.ai/free/en/papers/ramos-2024-review-large-language-models-autonomous/)
3. [**LAB-Bench: Measuring Capabilities of Language Models for Biology Research arXiv:2407.10362**Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, et al.*2024 · 62 citations*](https://md.research.elamur.ai/free/en/papers/laurent-2024-lab-bench-measuring-capabilities/)
4. [**LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset arXiv:2402.09391**Botao Yu, Frazier N. Baker, Ziqi Chen, et al.*2024 · 51 citations*](https://md.research.elamur.ai/free/en/papers/yu-2024-llasmol-advancing-large-language-models/)
5. [**LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation arXiv:2401.17244**Yuan Chiang, Elvis Hsieh, Chia-Hong Chou, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2024-llamp-large-language-model-made/)
6. **[Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide](https://md.research.elamur.ai/free/en/papers/szep-2026-fine-tuning-large-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.*2026 · 7 citations*
7. [**Interpreting Multi-band Galaxy Observations with Large Language Model-Based Agents arXiv:2409.14807**Zechang Sun, Yuan-Sen Ting, Yaobo Liang, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/sun-2024-interpreting-multi-band-galaxy-observations/)
8. **[AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search](https://md.research.elamur.ai/free/en/papers/song-2026-aot-efficient-synthesis-planning-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, et al.*2026 · 2 citations*

17 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/jablonka-2024-leveraging-large-language-models-predictive/) — Leveraging large language models for predictive chemistry