Any Other Thoughts, Hedgehog? Linking Deliberation Chains in Collaborative Dialogues

Nath, Abhijnan, Venkatesha, Videep, Bradford, Mariah, Chelle, Avyakta, Youngren, Austin, Mabrey, Carlos, Blanchard, Nathaniel, Krishnaswamy, Nikhil

arXiv.org Artificial Intelligence 

A novel task of automatically constructing Recent breakthroughs in generative AI have raised "deliberation chains" of probing questions in a the possibility of systems that follow and interact dialogue and with their causal utterances; with multiparty dialogue. Inherent in group dialogues A formal graphical framework for deliberation are utterance sequences that deliberate on chains derived from formal semantics of the same information. Modeling these is particularly situated conversation (Hunter et al., 2018); challenging; while such utterances have a linear order and overlapping information, they may A unique adaptation of methods from coreference be distantly separated in time and the same information resolution to this new task; may be expressed very differently. In this paper, we construct deliberation chains Baseline evaluation on two challenging collaborative in dialogue: turn sequences that surface pieces of dialogue datasets--DeliData and the evidence or questions under discussion that culminate Weights Task Dataset--and a novel method of in a "probing utterance," or explicit elicitation jointly modeling probing and causal interventions of input that does not introduce new information.

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