Papers with PACO

2 papers
PACO: a Corpus to Analyze the Impact of Common Ground in Spontaneous Face-to-Face Interaction (2020.lrec-1)

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Challenge: PAC0 is a conversational corpus of 15 face-to-face interactions lasting around 20 min each.
Approach: They have created a conversational corpus of 15 face-to-face dyadic interactions lasting around 20 min each.
Outcome: The compared corpus consists of 15 face-to-face dyadic interactions lasting around 20 min each.
Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search (2026.acl-long)

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Challenge: Controllable summarization is a form of outputs that tailors summaries to user-specified attributes.
Approach: They propose an adaptive planning framework that reframes the task as planning the order of sequential attribute control with a customized Monte Carlo Tree Search.
Outcome: The proposed framework surpasses LLM-based self-planning models and fine-tuned baselines in multi-attribute controllable summarization.

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