Papers with human-human conversation

2 papers
X-TURING: Towards an Enhanced and Efficient Turing Test for Long-Term Dialogue Agents (2025.acl-long)

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Challenge: Traditional Turing test limits each participant to one message at a time and requires constant human participation.
Approach: They propose to enhance the original Turing test with a burst dialogue pattern, allowing more dynamic exchanges using consecutive messages.
Outcome: The proposed test improves the original test with a burst dialogue pattern, allowing more dynamic exchanges using consecutive messages.
“Mm, Wat?” Detecting Other-initiated Repair Requests in Dialogue (2025.emnlp-main)

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Challenge: Current conversational agents (CAs) do not recognize repair initiation, leading to breakdowns or disengagement.
Approach: They propose a multimodal model to automatically detect repair initiation in Dutch dialogues by integrating linguistic and prosodic features grounded in Conversation Analysis.
Outcome: The proposed model integrates linguistic and prosodic features grounded in Conversation Analysis to detect repair initiation in Dutch dialogues.

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