mlsanityData to 13 Oct 2026

The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence

arXiv 2002.06177 ↗First posted 14 Feb 2020cs.AI cs.LGcited by 194

Not on the map. Why?

Cited by 36 in LLM reasoning, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Recent research in artificial intelligence and machine learning has largely emphasized general-purpose learning and ever-larger training sets and more and more compute. In contrast, I propose a hybrid, knowledge-driven, reasoning-based approach, centered around cognitive models, that could provide the substrate for a richer, more robust AI than is currently possible.

Key facts. Cited by 194 papers in the map (data through 13 Oct 2026). First posted on arXiv 14 Feb 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2020: 1; 2021: 31; 2022: 43; 2023: 32; 2024: 27; 2025: 40; 2026: 20.

194 papers.

Sort:

By area:

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,221
  2. 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 747
  3. 2022PAL: Program-aided Language Modelscited by 647
  4. 2022Towards Reasoning in Large Language Models: A Surveycited by 595
  5. 2022Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoningcited by 332
  6. 2022Language models show human-like content effects on reasoning taskscited by 172
  7. 2024Agent AI: Surveying the Horizons of Multimodal Interactioncited by 169
  8. 2021How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVENcited by 124
  9. 2023SatLM: Satisfiability-Aided Language Models Using Declarative Promptingcited by 100
  10. 2021A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challengescited by 69
  11. 2022On scientific understanding with artificial intelligencecited by 68
  12. 2022LAMBADA: Backward Chaining for Automated Reasoning in Natural Languagecited by 66
38 more
  1. 2024Calibrating Large Language Models Using Their Generations Onlycited by 64
  2. 2022On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligencecited by 50
  3. 2022Event knowledge in large language models: the gap between the impossible and the unlikelycited by 44
  4. 2022Neural Approaches to Conversational Information Retrievalcited by 41
  5. 2021A Survey on Neural-symbolic Learning Systemscited by 39
  6. 2021PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generationcited by 37
  7. 2021Tell me why! Explanations support learning relational and causal structurecited by 36
  8. 2022Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computingcited by 34
  9. 2022A Review of Emerging Research Directions in Abstract Visual Reasoningcited by 33
  10. 2022DALL-E 2 Fails to Reliably Capture Common Syntactic Processescited by 31
  11. 2021Learning Algebraic Representation for Systematic Generalization in Abstract Reasoningcited by 27
  12. 2023Dissociating language and thought in large language modelscited by 27
  13. 2021Which priors matter? Benchmarking models for learning latent dynamicscited by 26
  14. 2021Symbolic Behaviour in Artificial Intelligencecited by 25
  15. 2021Periodic Activation Functions Induce Stationaritycited by 21
  16. 2022General Intelligence Requires Rethinking Explorationcited by 20
  17. 2024The Role of Deductive and Inductive Reasoning in Large Language Modelscited by 20
  18. 2021Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Futurecited by 18
  19. 2021Meaningful human control: actionable properties for AI system developmentcited by 18
  20. 2024Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoningcited by 17
  21. 2021Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLPcited by 16
  22. 2022On the link between conscious function and general intelligence in humans and machinescited by 15
  23. 2024SymbolicAI: A framework for logic-based approaches combining generative models and solverscited by 15
  24. 2022Recent Advances in Neural Text Generation: A Task-Agnostic Surveycited by 14
  25. 2023Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuningcited by 14
  26. 2021Trusted Artificial Intelligence: Towards Certification of Machine Learning Applicationscited by 13
  27. 2022Semantic features of object concepts generated with GPT-3cited by 12
  28. 2023RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modelingcited by 12
  29. 2021Towards a theory of out-of-distribution learningcited by 11
  30. 2021Thinking Fast and Slow in AI: the Role of Metacognitioncited by 11
  31. 2023Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysiscited by 11
  32. 2021Phy-Q as a measure for physical reasoning intelligencecited by 10
  33. 2021SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoningcited by 10
  34. 2023Assessing SATNet's Ability to Solve the Symbol Grounding Problemcited by 10
  35. 2022Learning Robust Real-Time Cultural Transmission without Human Datacited by 9
  36. 2022The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networkscited by 9
  37. 2022A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunitiescited by 9
  38. 2021Semantic Clustering based Deduction Learning for Image Recognition and Classificationcited by 8

50 most cited of 194 All 194 (JSON)