Talking About Large Language Models
Not on the map. Why?
Abstract (arXiv)
Thanks to rapid progress in artificial intelligence, we have entered an era when technology and philosophy intersect in interesting ways. Sitting squarely at the centre of this intersection are large language models (LLMs). The more adept LLMs become at mimicking human language, the more vulnerable we become to anthropomorphism, to seeing the systems in which they are embedded as more human-like than they really are. This trend is amplified by the natural tendency to use philosophically loaded terms, such as "knows", "believes", and "thinks", when describing these systems. To mitigate this trend, this paper advocates the practice of repeatedly stepping back to remind ourselves of how LLMs, and the systems of which they form a part, actually work. The hope is that increased scientific precision will encourage more philosophical nuance in the discourse around artificial intelligence, both within the field and in the public sphere.
Key facts. Cited by 174 papers in the map (data through 7 Oct 2026). Builds on 26 of its 43 references that are in the map. First posted on arXiv 7 Dec 2022.
Builds on
26 of 43 references.
References · 26
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020Language Models are Few-Shot Learnerscited by 32,199
- 2022Training language models to follow instructions with human feedbackcited by 15,712
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
- 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,304
- 2022Flamingo: a Visual Language Model for Few-Shot Learningcited by 4,337
- 2022Large Language Models are Zero-Shot Reasonerscited by 4,323
- 2022Locating and Editing Factual Associations in GPTcited by 2,609
- 2020Learning to summarize from human feedbackcited by 2,562
- 2022Emergent Abilities of Large Language Modelscited by 2,483
- 2022Do As I Can, Not As I Say: Grounding Language in Robotic Affordancescited by 2,302
14 more
- 2019ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Taskscited by 2,219
- 2022LaMDA: Language Models for Dialog Applicationscited by 1,218
- 2021Scaling Language Models: Methods, Analysis & Insights from Training Gophercited by 1,199
- 2021Ethical and social risks of harm from Language Modelscited by 957
- 2022In-context Learning and Induction Headscited by 930
- 2021Show Your Work: Scratchpads for Intermediate Computation with Language Modelscited by 871
- 2022Improving alignment of dialogue agents via targeted human judgementscited by 527
- 2022Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoningcited by 331
- 2022Data Distributional Properties Drive Emergent In-Context Learning in Transformerscited by 303
- 2021Implicit Representations of Meaning in Neural Language Modelscited by 179
- 2022Faithful Reasoning Using Large Language Modelscited by 130
- 2022Meaning without reference in large language modelscited by 76
- 2020Word meaning in minds and machinescited by 51
- 2022Abstraction for Deep Reinforcement Learningcited by 19
Built on by
Citing papers per year: 2022: 1; 2023: 41; 2024: 57; 2025: 44; 2026: 31.
174 papers.
Sort:
By area:
- 2023A Survey of Large Language Modelscited by 2,537
- 2023Large Language Models for Software Engineering: A Systematic Literature Reviewcited by 389
- 2023Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoningcited by 379
- 2023Role-Play with Large Language Modelscited by 290
- 2023Evaluating the Moral Beliefs Encoded in LLMscited by 211
- 2023Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solvecited by 175
- 2024Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methodscited by 114
- 2023A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validationcited by 91
- 2023When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunitiescited by 89
- 2023Deep Model Fusion: A Surveycited by 89
- 2024Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Surveycited by 82
- 2024Scientific Large Language Models: A Survey on Biological & Chemical Domainscited by 80
38 more
- 2023Still No Lie Detector for Language Models: Probing Empirical and Conceptual Roadblockscited by 77
- 2025Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Modelscited by 61
- 2024Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMscited by 59
- 2023On the Creativity of Large Language Modelscited by 57
- 2023A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challengecited by 55
- 2024Determinants of LLM-assisted Decision-Makingcited by 55
- 2023Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generationcited by 49
- 2024Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challengescited by 48
- 2023Honesty Is the Best Policy: Defining and Mitigating AI Deceptioncited by 40
- 2025Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistenciescited by 39
- 2024Large Language Models for Medicine: A Surveycited by 38
- 2024Argumentative Large Language Models for Explainable and Contestable Claim Verificationcited by 36
- 2025The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMscited by 35
- 2024ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObilitycited by 34
- 2023Mirages: On Anthropomorphism in Dialogue Systemscited by 30
- 2023Challenges with unsupervised LLM knowledge discoverycited by 30
- 2024History, Development, and Principles of Large Language Models-An Introductory Surveycited by 30
- 2024Standards for Belief Representations in LLMscited by 30
- 2023Dissociating language and thought in large language modelscited by 27
- 2024How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?cited by 27
- 2025Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmapcited by 26
- 2023It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performancecited by 25
- 2025Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Modelscited by 25
- 2024Privacy Preserving Prompt Engineering: A Surveycited by 24
- 2024HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agentcited by 24
- 2024The Reasons that Agents Act: Intention and Instrumental Goalscited by 23
- 2024A Survey on Human Preference Learning for Large Language Modelscited by 23
- 2023The Machine Psychology of Cooperation: Can GPT models operationalise prompts for altruism, cooperation, competitiveness and selfishness in economic games?cited by 22
- 2023Creating a Large Language Model of a Philosophercited by 20
- 2023ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Designcited by 20
- 2024From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?cited by 18
- 2023Machine Psychologycited by 16
- 2023Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesiscited by 16
- 2024Simulacra as Conscious Exoticacited by 16
- 2024Large Language Model Benchmarks in Medical Taskscited by 16
- 2024Can LLMs make trade-offs involving stipulated pain and pleasure states?cited by 16
- 2024Code Simulation Challenges for Large Language Modelscited by 15
- 2022Do language models have coherent mental models of everyday things?cited by 13
50 most cited of 174 All 174 (JSON)
- 2026Anthropomorphism in the age of Large Language Models: An overview of potential risks and mitigations29 Sep 2026
- 2026Spook the Machine: Gamified Exploration of Human Imagination of Machine Fear14 Sep 2026
- 2026Another Blueprint In The Wall: How to Ask Frontier AI Like a Kid?13 Sep 2026
- 2026Beliefs and Behavior in Language Models7 Sep 2026
- 2026Who Put the I in AI? Provenance and the Admissibility of Machine Self-Report24 Aug 2026
- 2026Asymmetric Communication: Large Language Models and Language Games30 Jul 2026
- 2026Cognitive Convergence: Deep Similarities Between Large Language Models and Human Cognition28 Jul 2026
- 2026Are Attributions of Consciousness to AI Chatbots Epistemically Innocent?22 Jul 2026
- 2026The yes-no bias of large language models reflects answer order and wording, not shifts in moral judgment6 Jul 2026
- 2026Reading Without a Reader: Large Language Models Collapse Reading and Writing into a Single Entangled Code2 Jul 2026
- 2026Co-Construction Blindness and Asymmetric Epistemic Vulnerability in Human-LLM Interaction18 Jun 2026
- 2026When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support16 Jun 2026
38 more
- 2026Cross-LLM Consistency in Inference: Evidence from Shared Interactions6 Jun 2026
- 2026From Simulation to Enaction: Post-trained language models recognize and react to their own generations25 May 2026
- 2026Tracing the ongoing emergence of human-like reasoning in Large Language Models20 May 2026
- 2026HypergraphFormer: Learning Hypergraphs from LLMs for Editable Floor Plan Generation18 May 2026
- 2026AI and Consciousness: Shifting Focus Towards Tractable Questions7 May 2026
- 2026LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy5 May 2026
- 2026Deterministic Replay for AI Agent Systems30 Apr 2026
- 2026On the Creativity of AI Agents14 Apr 2026
- 2026Breaking the Illusion of Identity in LLM Tooling8 Apr 2026
- 2026Coherent Without Grounding, Grounded Without Success: Observability and Epistemic Failure30 Mar 2026
- 2026Persona-Conditioned Risk Behavior in Large Language Models: A Simulated Gambling Study with GPT-4.116 Mar 2026
- 2026Anthropomorphism and Trust in Human-Large Language Model interactions1 Mar 2026
- 2026Alignment Is Not Enough: A Relational Framework for Moral Standing in Human-AI Interaction13 Feb 2026
- 2026LLMs and people both learn to form conventions -- just not with each other9 Feb 2026
- 2026Generics in science communication: Misaligned interpretations across laypeople, scientists, and large language models5 Feb 2026
- 2026Quantum Circuit Generation via test-time learning with large language models3 Feb 2026
- 2026Beyond Instrumental and Substitutive Paradigms: Introducing Machine Culture as an Emergent Phenomenon in Large Language Models23 Jan 2026
- 2026A Scoping Review of the Ethical Perspectives on Anthropomorphising Large Language Model-Based Conversational Agents14 Jan 2026
- 2026When Bots Take the Bait: Exposing and Mitigating the Emerging Social Engineering Attack in Web Automation Agent12 Jan 2026
- 2025Humanlike AI Design Increases Anthropomorphism but Yields Divergent Outcomes on Engagement and Trust Globally19 Dec 2025
- 2025Invasive Context Engineering to Control Large Language Models2 Dec 2025
- 2025Difficulties with Evaluating a Deception Detector for AIs27 Nov 2025
- 2025LLM Reinforcement in Context16 Nov 2025
- 2025A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification6 Nov 2025
- 2025Discovering Heuristics with Large Language Models (LLMs) for Mixed-Integer Programs: Single-Machine Scheduling28 Oct 2025
- 2025The Benchmarking Epistemology: Validity Theory for Evaluating Machine Learning Models27 Oct 2025
- 2025Readability ne Learnability: Rethinking the Role of Simplicity in Training Small Language Models15 Oct 2025
- 2025LLaVAShield: Safeguarding Multimodal Multi-Turn Dialogues in Vision-Language Models30 Sep 2025
- 2025Intermediate Languages Matter: Formal Languages and LLMs affect Neurosymbolic Reasoning4 Sep 2025
- 2025What Would an LLM Do? Evaluating Large Language Models for Policymaking to Alleviate Homelessness4 Sep 2025
- 2025The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs3 Sep 2025
- 2025Data Augmentation Improves Machine Unlearning25 Aug 2025
- 2025Why Cannot Large Language Models Ever Make True Correct Reasoning?14 Aug 2025
- 2025Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence29 Jul 2025
- 2025Inducing Causal World Models in LLMs for Zero-Shot Physical Reasoning26 Jul 2025
- 2025P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMs22 Jul 2025
- 2025Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges7 Jul 2025
- 2025Mechanistic Indicators of Understanding in Large Language Models7 Jul 2025
50 newest of 174 All 174 (JSON)
- 2023Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoningcited by 379
- 2024Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Surveycited by 82
- 2025Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Modelscited by 61
- 2023Dissociating language and thought in large language modelscited by 27
- 2023Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesiscited by 16
- 2025Thinking beyond the anthropomorphic paradigm benefits LLM researchcited by 13
- 2025Evaluating GPT- and Reasoning-based Large Language Models on Physics Olympiad Problems: Surpassing Human Performance and Implications for Educational Assessmentcited by 7
- 2024Exploring Failure Cases in Multimodal Reasoning About Physical Dynamicscited by 5
- 2025Style over Substance: Distilled Language Models Reason Via Stylistic Replicationcited by 5
- 2024Can Large Language Models Create New Knowledge for Spatial Reasoning Tasks?cited by 1
- 2025Why Cannot Large Language Models Ever Make True Correct Reasoning?cited by 1
- 2025P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMscited by 0
12 most cited of 15 All 15 (JSON)
- 2026Tracing the ongoing emergence of human-like reasoning in Large Language Models20 May 2026
- 2025Readability ne Learnability: Rethinking the Role of Simplicity in Training Small Language Models15 Oct 2025
- 2025Intermediate Languages Matter: Formal Languages and LLMs affect Neurosymbolic Reasoning4 Sep 2025
- 2025Why Cannot Large Language Models Ever Make True Correct Reasoning?14 Aug 2025
- 2025P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMs22 Jul 2025
- 2025Evaluating GPT- and Reasoning-based Large Language Models on Physics Olympiad Problems: Surpassing Human Performance and Implications for Educational Assessment14 May 2025
- 2025Style over Substance: Distilled Language Models Reason Via Stylistic Replication2 Apr 2025
- 2025Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models16 Feb 2025
- 2025Thinking beyond the anthropomorphic paradigm benefits LLM research13 Feb 2025
- 2024Can Large Language Models Create New Knowledge for Spatial Reasoning Tasks?23 May 2024
- 2024Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey2 Apr 2024
- 2024Exploring Failure Cases in Multimodal Reasoning About Physical Dynamics24 Feb 2024
12 newest of 15 All 15 (JSON)
- 2024HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agentcited by 24
- 2024The Reasons that Agents Act: Intention and Instrumental Goalscited by 23
- 2024Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agentscited by 13
- 2026When Bots Take the Bait: Exposing and Mitigating the Emerging Social Engineering Attack in Web Automation Agentcited by 6
- 2024Quantifying stability of non-power-seeking in artificial agentscited by 2
- 2026A Scoping Review of the Ethical Perspectives on Anthropomorphising Large Language Model-Based Conversational Agentscited by 2
- 2026On the Creativity of AI Agentscited by 1
- 2026Deterministic Replay for AI Agent Systemscited by 1
- 2026Deterministic Replay for AI Agent Systems30 Apr 2026
- 2026On the Creativity of AI Agents14 Apr 2026
- 2026A Scoping Review of the Ethical Perspectives on Anthropomorphising Large Language Model-Based Conversational Agents14 Jan 2026
- 2026When Bots Take the Bait: Exposing and Mitigating the Emerging Social Engineering Attack in Web Automation Agent12 Jan 2026
- 2024Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agents5 Aug 2024
- 2024HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent31 May 2024
- 2024The Reasons that Agents Act: Intention and Instrumental Goals11 Feb 2024
- 2024Quantifying stability of non-power-seeking in artificial agents7 Jan 2024
- 2025Data Augmentation Improves Machine Unlearningcited by 0
- 2025Data Augmentation Improves Machine Unlearning25 Aug 2025
- 2023A Survey of Large Language Modelscited by 2,537
- 2023Large Language Models for Software Engineering: A Systematic Literature Reviewcited by 389
- 2023Role-Play with Large Language Modelscited by 290
- 2023Evaluating the Moral Beliefs Encoded in LLMscited by 211
- 2023Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solvecited by 175
- 2024Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methodscited by 114
- 2023A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validationcited by 91
- 2023When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunitiescited by 89
- 2023Deep Model Fusion: A Surveycited by 89
- 2024Scientific Large Language Models: A Survey on Biological & Chemical Domainscited by 80
- 2023Still No Lie Detector for Language Models: Probing Empirical and Conceptual Roadblockscited by 77
- 2024Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMscited by 59
12 most cited of 141 All 141 (JSON)
- 2026Anthropomorphism in the age of Large Language Models: An overview of potential risks and mitigations29 Sep 2026
- 2026Spook the Machine: Gamified Exploration of Human Imagination of Machine Fear14 Sep 2026
- 2026Another Blueprint In The Wall: How to Ask Frontier AI Like a Kid?13 Sep 2026
- 2026Beliefs and Behavior in Language Models7 Sep 2026
- 2026Who Put the I in AI? Provenance and the Admissibility of Machine Self-Report24 Aug 2026
- 2026Asymmetric Communication: Large Language Models and Language Games30 Jul 2026
- 2026Cognitive Convergence: Deep Similarities Between Large Language Models and Human Cognition28 Jul 2026
- 2026Are Attributions of Consciousness to AI Chatbots Epistemically Innocent?22 Jul 2026
- 2026The yes-no bias of large language models reflects answer order and wording, not shifts in moral judgment6 Jul 2026
- 2026Reading Without a Reader: Large Language Models Collapse Reading and Writing into a Single Entangled Code2 Jul 2026
- 2026Co-Construction Blindness and Asymmetric Epistemic Vulnerability in Human-LLM Interaction18 Jun 2026
- 2026When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support16 Jun 2026
12 newest of 141 All 141 (JSON)