Papers by David Piorkowski
Language Models in Dialogue: Conversational Maxims for Human-AI Interactions (2024.findings-emnlp)
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Erik Miehling, Manish Nagireddy, Prasanna Sattigeri, Elizabeth Daly, David Piorkowski, John Richards
| Challenge: | Modern language models exhibit some inherent shortcomings, particularly in conversational settings. |
| Approach: | They propose a set of maxims for describing effective human-AI conversation that include quantity, quality, relevance, manner, benevolence, and transparency. |
| Outcome: | The proposed maxims are applied to human-AI interactions and are based on extensive research from the social science and AI communities. |
Detecting Egregious Conversations between Customers and Virtual Agents (N18-1)
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Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, John Richards, David Piorkowski
| Challenge: | 80% of businesses plan to use chatbots by 2020, according to recent studies . but some bad conversations can be difficult to detect and could lead to litigation . |
| Approach: | They propose a method to detect bad conversations using behavioral cues from the user and patterns in agent responses. |
| Outcome: | The proposed method improves the detection F1 score by 20% over textual features. |