Papers with Natural language interaction

2 papers
Beyond Words: Integrating Theory of Mind into Conversational Agents for Human-Like Belief, Desire, and Intention Alignment (2025.findings-acl)

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Challenge: Empirical evaluations of LLaMA-3 models demonstrate that ToM-informed alignment improves response quality, achieving win rates of 63% and 67%, respectively.
Approach: They investigate whether open-source LLaMA models can represent and retain ToM-related constructs and whether they can be used to generate more aligned responses.
Outcome: The proposed models can represent and retain ToM-related constructs and improve response quality.
LADIS: Language Disentanglement for 3D Shape Editing (2022.findings-emnlp)

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Challenge: Existing methods for 3D shape editing produce decoupled, local edits to 3D shapes.
Approach: They propose a tool set that learns latent representations that ground language in 3D geometry.
Outcome: The proposed method outperforms existing SOTA methods by 20% in edit locality and up to 6.6% in language reference resolution accuracy.

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