[CFP] Deadline (July 12, AoE): Workshop on Learning from Situated and Embodied Interaction (LSEI) @ COLM 2026

[Zineng Tang]

We are hosting Workshop on Learning from Situated and Embodied Interaction (LSEI) at COLM 2026 — October 9, 2026, San Francisco, CA

Website:    https://learning-situated-interaction.github.io/
Submission: https://openreview.net/group?id=colmweb.org/COLM/2026/Workshop/LSEI
Contact:    colm2026.learn...@gmail.com

We welcome submissions on all dimensions of learning from embodied
interaction, including but not limited to:

* Situated Interaction (Agent-Environment): How can interaction in web, simulated, or physical environments provide training signals that
  improve language modeling, grounding, and adaptation?
* Multi-Agent Interaction: How can multi-agent interaction, self-play,
  or communicative success improve language models' pragmatic reasoning
  and social understanding?
* Cooperative Interaction: How can human-agent interaction and
  human-in-the-loop feedback improve language models in grounded
  communication and collaborative settings?
* Evaluation and Objectives: What benchmarks, data, and learning
  objectives can measure or enable causal understanding, adaptability,
  and pragmatic reasoning beyond passive learning or imitation?

We welcome ongoing, published, unpublished, just-accepted, and
under-review work. All submissions are non-archival and will not appear
in formal proceedings.

Submit via OpenReview:
https://openreview.net/group?id=colmweb.org/COLM/2026/Workshop/LSEI

Invited Speakers:
* Been Kim (Google DeepMind)
* Noam Brown (OpenAI)
* Diyi Yang (Stanford University)
* Heng Ji (University of Illinois Urbana-Champaign)
* Prithviraj Ammanabrolu (UC San Diego, NVIDIA)