mlsanityData to 7 Oct 2026

What A Situated Language-Using Agent Must be Able to Do: A Top-Down Analysis

arXiv 2302.08590 ↗First posted 16 Feb 2023cs.CLcited by 8

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

Even in our increasingly text-intensive times, the primary site of language use is situated, co-present interaction. It is primary ontogenetically and phylogenetically, and it is arguably also still primary in negotiating everyday social situations. Situated interaction is also the final frontier of Natural Language Processing, where, compared to the area of text processing, very little progress has been made in the past decade, and where a myriad of practical applications is waiting to be unlocked. While the usual approach in the field is to reach, bottom-up, for the ever next "adjacent possible", in this paper I attempt a top-down analysis of what the demands are that unrestricted situated interaction makes on the participating agent, and suggest ways in which this analysis can structure computational models and research on them. Specifically, I discuss representational demands (the building up and application of world model, language model, situation model, discourse model, and agent model) and what I call anchoring processes (incremental processing, incremental learning, conversational grounding, multimodal grounding) that bind the agent to the here, now, and us.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 8 of its 42 references that are in the map. First posted on arXiv 16 Feb 2023.

Builds on

8 of 42 references.

References · 8

  1. 2017Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentscited by 1,013
  2. 2016Visual Dialogcited by 377
  3. 2017Embodied Question Answeringcited by 335
  4. 2020Experience Grounds Languagecited by 241
  5. 2021MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Taskscited by 62
  6. 2021Grounding 'Grounding' in NLPcited by 44
  7. 2019A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Contextcited by 35
  8. 2019MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environmentcited by 19

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Cited by year

Citing papers per year: 2023: 3; 2024: 3; 2025: 2.

8 papers.

Similar, not cited

Close in wording, no citation either way

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  2. 2026Designing Explainable Conversational Agentic Systems for Guaran'i Speakers
  3. 2025Human vs. Agent in Task-Oriented Conversations
  4. 2026ACCORD: Action-Conditioned Contextual Grounding for Language Agents
  5. 2024"What's my model inside of?": Exploring the role of environments for grounded natural language understanding
  6. 2026What Language Does and What the Evidence Supports: A Functional Role Taxonomy and Evidence Audit of Language Grounding in Embodied Agents
  7. 2023Grounding Gaps in Language Model Generations
  8. 2022In conversation with Artificial Intelligence: aligning language models with human values