--- title: "Engineering — papers" description: "Engineering: 44 papers of the Elamur Research library · page 1 of 2 · 1–25, the most cited first — our summary of each, its ideas, references and who…" canonical: "https://research.elamur.ai/free/en/shelves/engineering/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/engineering/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / Engineering # ⚙️ Engineering 44 papers · page 1 of 2 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Machines, structures, electronics, control and the engineering disciplines. ## Subfields The sub-shelves of Engineering, the most papers first, with the two OpenAlex topics most of their papers here are on. 1. [**Control and Systems Engineering**Robot Manipulation and Learning · Human Motion and Animation*20 papers*](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) 2. [**Media Technology**Vehicle License Plate Recognition · Advanced Image Fusion Techniques*10 papers*](https://md.research.elamur.ai/free/en/shelves/engineering/media-technology/) 3. [**Electrical and Electronic Engineering**Green IT and Sustainability · Low-power high-performance VLSI design*7 papers*](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) 4. [**Industrial and Manufacturing Engineering**Robotic Process Automation Applications · Industrial Vision Systems and Defect Detection*3 papers*](https://md.research.elamur.ai/free/en/shelves/engineering/industrial-and-manufacturing-engineering/) 5. [**Safety, Risk, Reliability and Quality**Safety Systems Engineering in Autonomy*2 papers*](https://md.research.elamur.ai/free/en/shelves/engineering/safety-risk-reliability-and-quality/) 6. [**Biomedical Engineering**SAS software applications and methods*1 paper*](https://md.research.elamur.ai/free/en/shelves/engineering/biomedical-engineering/) 7. [**Building and Construction**Urban Design and Spatial Analysis*1 paper*](https://md.research.elamur.ai/free/en/shelves/engineering/building-and-construction/) ## Papers **1** [2](https://md.research.elamur.ai/free/en/shelves/engineering/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/engineering/page/2/) 1. [**Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead**Cynthia Rudin*2018 · 10,427 citations*](https://md.research.elamur.ai/free/en/papers/rudin-2018-stop-explaining-black-box/) 2. [**Energy and Policy Considerations for Deep Learning in NLP**Emma Strubell, Ananya Ganesh, Andrew McCallum*2019 · 4,049 citations*](https://md.research.elamur.ai/free/en/papers/strubell-2019-energy-policy-considerations-deep-learning/) 3. [**ReAct: Synergizing Reasoning and Acting in Language Models**Shunyu Yao, Jeffrey Zhao, Dian Yu, et al.*2022 · 2,493 citations*](https://md.research.elamur.ai/free/en/papers/yao-2022-react-synergizing-reasoning-acting-language/) 4. [**Toolformer: Language Models Can Teach Themselves to Use Tools**Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.*2023 · 2,020 citations*](https://md.research.elamur.ai/free/en/papers/schick-2023-toolformer-language-models-can-teach/) 5. [**Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments**Peter Anderson, Qi Wu, Damien Teney, et al.*2017 · 1,346 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2017-vision-language-navigation-interpreting-visually/) 6. [**Optuna: A Next-generation Hyperparameter Optimization Framework**Takuya Akiba, Shotaro Sano, Toshihiko Yanase, et al.*2019 · 1,246 citations*](https://md.research.elamur.ai/free/en/papers/akiba-2019-optuna-next-generation-hyperparameter-optimization/) 7. [**Efficient Low-rank Multimodal Fusion With Modality-Specific Factors**Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, et al.*2018 · 1,174 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-efficient-low-rank-multimodal-fusion/) 8. [**MMBench: Is Your Multi-modal Model an All-around Player?**Yuan Liu, Haodong Duan, Yuanhan Zhang, et al.*2023 · 907 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-mmbench-multi-modal-model-all/) 9. [**Do As I Can, Not As I Say: Grounding Language in Robotic Affordances**Michael Ahn, Anthony Brohan, Noah Brown, et al.*2022 · 873 citations*](https://md.research.elamur.ai/free/en/papers/ahn-2022-i-i-say-grounding-language/) 10. [**Segment Anything**Alexander Kirillov, Eric Mintun, Nikhila Ravi, et al.*2023 · 865 citations*](https://md.research.elamur.ai/free/en/papers/kirillov-2023-segment-anything/) 11. [**ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks**Mohit Shridhar; Jesse Thomason; Daniel Gordon; Yonatan Bisk; Winson Han; Roozbeh Mottaghi; Luke Zettlemoyer;, Dieter Fox*2019 · 724 citations*](https://md.research.elamur.ai/free/en/papers/shridhar-2019-alfred-benchmark-interpreting-grounded-instructions/) 12. [**ProgPrompt: Generating Situated Robot Task Plans using Large Language Models**Ishika Singh, Valts Blukis, Arsalan Mousavian, et al.*2022 · 710 citations*](https://md.research.elamur.ai/free/en/papers/singh-2022-progprompt-generating-situated-robot-task/) 13. [**LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models**Chan Hee Song, Jiaman Wu, Clayton Washington, et al.*2022 · 563 citations*](https://md.research.elamur.ai/free/en/papers/song-2022-llm-planner-few-shot-grounded/) 14. [**Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection**Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al.*2023 · 430 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-grounding-dino-marrying-dino-grounded/) 15. [**Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents**Wenlong Huang, Pieter Abbeel, Deepak Pathak, et al.*2022 · 420 citations*](https://md.research.elamur.ai/free/en/papers/huang-2022-language-models-zero-shot-planners/) 16. [**Tool Learning with Foundation Models**Yujia Qin, Shengding Hu, Yankai Lin, et al.*2023 · 376 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/) 17. [**Green AI**Roy Schwartz, Jesse Dodge, Noah A. Smith, et al.*2019 · 370 citations*](https://md.research.elamur.ai/free/en/papers/schwartz-2019-green-ai/) 18. [**ViperGPT: Visual Inference via Python Execution for Reasoning**Didac Suris, Sachit Menon, Carl Vondrick*2023 · 352 citations*](https://md.research.elamur.ai/free/en/papers/suris-2023-vipergpt-visual-inference-python-execution/) 19. [**Quantifying the Carbon Emissions of Machine Learning**Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, et al.*2019 · 324 citations*](https://md.research.elamur.ai/free/en/papers/lacoste-2019-quantifying-carbon-emissions-machine-learning/) 20. [**Carbon Emissions and Large Neural Network Training**David Patterson, Joseph Gonzalez, Quoc Le, et al.*2021 · 304 citations*](https://md.research.elamur.ai/free/en/papers/patterson-2021-carbon-emissions-large-neural-network/) 21. [**ALFWorld: Aligning Text and Embodied Environments for Interactive Learning**Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, et al.*2020 · 299 citations*](https://md.research.elamur.ai/free/en/papers/shridhar-2020-alfworld-aligning-text-embodied-environments/) 22. [**From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference**Siddharth Samsi, Dan Zhao, Joseph McDonald, et al.*2023 · 288 citations*](https://md.research.elamur.ai/free/en/papers/samsi-2023-words-watts-benchmarking-energy-costs/) 23. [**Kosmos-2: Grounding Multimodal Large Language Models to the World**Zhiliang Peng, Wenhui Wang, Li Dong, et al.*2023 · 272 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-kosmos-2-grounding-multimodal-large/) 24. [**QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs**Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, et al.*2024 · 252 citations*](https://md.research.elamur.ai/free/en/papers/ashkboos-2024-quarot-outlier-free-4-bit/) 25. [**OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments**Tianbao Xie, Danyang Zhang, Jixuan Chen, et al.*2024 · 228 citations*](https://md.research.elamur.ai/free/en/papers/xie-2024-osworld-benchmarking-multimodal-agents-open/) **1** [2](https://md.research.elamur.ai/free/en/shelves/engineering/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/engineering/page/2/) Updated 23 October 2026 - [← previous shelf Energy](https://md.research.elamur.ai/free/en/shelves/energy/) - [next shelf → Environmental Science](https://md.research.elamur.ai/free/en/shelves/environmental-science/) - [↑ back to shelves](https://md.research.elamur.ai/free/en/shelves/)