mlsanityData to 7 Oct 2026

Towards Language-driven Scientific AI

arXiv 2210.15327 ↗First posted 27 Oct 2022cs.CL cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

Inspired by recent and revolutionary developments in AI, particularly in language understanding and generation, we set about designing AI systems that are able to address complex scientific tasks that challenge human capabilities to make new discoveries. Central to our approach is the notion of natural language as core representation, reasoning, and exchange format between scientific AI and human scientists. In this paper, we identify and discuss some of the main research challenges to accomplish such vision.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 23 of its 31 references that are in the map. First posted on arXiv 27 Oct 2022.

Builds on

23 of 31 references.

References · 23

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  4. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  5. 2016Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotationscited by 2,646
  6. 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,935
  7. 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,404
  8. 2020Making Pre-trained Language Models Better Few-shot Learnerscited by 1,255
  9. 2020Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inferencecited by 934
  10. 2016A Diagram Is Worth A Dozen Imagescited by 793
  11. 2022Decomposed Prompting: A Modular Approach for Solving Complex Taskscited by 554
  12. 2020Fact or Fiction: Verifying Scientific Claimscited by 546
11 more
  1. 2020K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapterscited by 318
  2. 2019Knowledge Enhanced Contextual Word Representationscited by 294
  3. 2018Multi-Reward Reinforced Summarization with Saliency and Entailmentcited by 73
  4. 2022Multi-hop Question Answeringcited by 64
  5. 2022Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvementcited by 37
  6. 2021Reason first, then respond: Modular Generation for Knowledge-infused Dialoguecited by 32
  7. 2021Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generationcited by 26
  8. 2020ISAAQ -- Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attentioncited by 14
  9. 2020Linked Credibility Reviews for Explainable Misinformation Detectioncited by 7
  10. 2019Look, Read and Enrich. Learning from Scientific Figures and their Captionscited by 5
  11. 2022SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Conceptscited by 3

Built on by

Not cited yet.