Papers with verbal alignment

2 papers
An Information-Providing Closed-Domain Human-Agent Interaction Corpus (L18-1)

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Challenge: a human-agent interaction corpus is a corpus of conversations between a user and an embodied conversational agent operated by a wizard of oz . data collected to create a 'corpus' with unexpected situations, such as misunderstandings, false information, and interruptions.
Approach: They propose a public corpus for Human-Agent Interaction where the agent is controlled by a Wizard of Oz.
Outcome: The proposed corpus is based on 15 conversations between users and a wizard of Oz agent . the data are used to create a corpus with unexpected situations, such as misunderstandings, false information, and interruptions.
When Agents Look the Same: Quantifying Distillation-Induced Similarity in Tool-Use Behaviors (2026.acl-long)

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Challenge: Existing metrics fail to distinguish mandatory behaviors required for task success from non-mandatory patterns that reflect a model’s autonomous preferences.
Approach: They propose to use response pattern similarity and action graph similarity to isolate non-mandatory behaviors from mandatory behaviors.
Outcome: Evaluating 18 models from 8 providers on -Bench and 2-Bench against Claude Sonnet 4.5, the authors find that within-family model pairs score 5.9 pp higher in response pattern similarity and action graph similarity .

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