Papers with domain-independent

2 papers
ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents (C18-1)

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Challenge: Existing methods for DA annotation are incompatible with each other and do not cover all aspects necessary for open-domain human-machine interaction.
Approach: They propose to map publicly available corpora to a subset of the ISO standard and create a task-independent training corpus for DA classification.
Outcome: The proposed method can train a domain-independent DA tagger on out-of-domain conversational data and achieve robustness across different DA categories.
LRPLAN: A Multi-Agent Collaboration of Large Language and Reasoning Models for Planning with Implicit & Explicit Constraints (2025.findings-emnlp)

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Challenge: LRPlan is a language-based multi-agent system for complex planning problems . large language models are often unable to maintain consistency across the planning process .
Approach: They propose a language-based multi-agent architecture where LLM and LRM agents collaborate at training time to abstract important patterns, heuristics and insights about the domain.
Outcome: The proposed language-based multi-agent architecture outperforms existing models and makes it publicly available.

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