mlsanityData to 7 Oct 2026

Towards Dialogues for Joint Human-AI Reasoning and Value Alignment

arXiv 2405.18073 ↗First posted 28 May 2024cs.AIcited by 2

On the map: LLM reasoning → Reasoning benchmarks and evaluation

also in 1 more
Abstract (arXiv)

We argue that enabling human-AI dialogue, purposed to support joint reasoning (i.e., 'inquiry'), is important for ensuring that AI decision making is aligned with human values and preferences. In particular, we point to logic-based models of argumentation and dialogue, and suggest that the traditional focus on persuasion dialogues be replaced by a focus on inquiry dialogues, and the distinct challenges that joint inquiry raises. Given recent dramatic advances in the performance of large language models (LLMs), and the anticipated increase in their use for decision making, we provide a roadmap for research into inquiry dialogues for supporting joint human-LLM reasoning tasks that are ethically salient, and that thereby require that decisions are value aligned.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning. Builds on 30 of its 82 references that are in the map. First posted on arXiv 28 May 2024.

Builds on

30 of 82 references.

Closest ancestors · 2

Same direction, newest first

  1. 2023Agent Instructs Large Language Models to be General Zero-Shot Reasoners5 Oct
  2. 2023LLaMA: Open and Efficient Foundation Language Models27 Feb

Other references · 28

  1. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,601
  2. 2022OPT: Open Pre-trained Transformer Language Modelscited by 3,464
  3. 2022Training Compute-Optimal Large Language Modelscited by 2,927
  4. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  5. 2023A Survey of Large Language Modelscited by 2,537
  6. 2022Emergent Abilities of Large Language Modelscited by 2,483
  7. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
  8. 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,037
  9. 2022Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Themcited by 1,767
  10. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
  11. 2023BloombergGPT: A Large Language Model for Financecited by 923
  12. 2022Automatic Chain of Thought Prompting in Large Language Modelscited by 684
16 more
  1. 2024A Survey on the Memory Mechanism of Large Language Model based Agentscited by 622
  2. 2023A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTcited by 612
  3. 2019ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmissioncited by 487
  4. 2023Cognitive Architectures for Language Agentscited by 422
  5. 2019FinBERT: Financial Sentiment Analysis with Pre-trained Language Modelscited by 378
  6. 2019Explain Yourself! Leveraging Language Models for Commonsense Reasoningcited by 367
  7. 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causalitycited by 348
  8. 2023Foundation Models for Decision Making: Problems, Methods, and Opportunitiescited by 160
  9. 2022Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanationscited by 159
  10. 2023Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Modelcited by 115
  11. 2023MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversationcited by 94
  12. 2024From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Modelscited by 42
  13. 2023Introspective Tips: Large Language Model for In-Context Decision Makingcited by 28
  14. 2024Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoringcited by 11
  15. 2023Leveraging Large Language Models for Collective Decision-Makingcited by 6
  16. 2024Computational Argumentation-based Chatbots: a Surveycited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

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  1. 2024Democratizing Reward Design for Personal and Representative Value-Alignment
  2. 2024ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs
  3. 2025Evaluating AI Alignment in LLMs: Output Analysis of Value Priorities Across 75 Models with Human Benchmarking
  4. 2024Contextual Moral Value Alignment Through Context-Based Aggregation
  5. 2025Beyond Ethical Alignment: Evaluating LLMs as Artificial Moral Assistants
  6. 2025Diverse Human Value Alignment for Large Language Models via Ethical Reasoning
  7. 2020Aligning AI With Shared Human Values
  8. 2026Pseudo-Deliberation in Language Models: When Reasoning Fails to Align Values and Actions