본문 바로가기
반응형

NLP572

[2023-11-02] 오늘의 자연어처리 Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users Abstract:While most task-oriented dialogues assume conversations between the agent and one user at a time, dialogue systems are increasingly expected to communicate with multiple users simultaneously who make decisions collaboratively. To facilitate development of such systems, we release the Multi-User MultiWOZ dataset: task-orie.. 2023. 11. 2.
[2023-10-31] 오늘의 자연어처리 INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue System In this paper, we propose a novel negotiation dialogue agent designed for the online marketplace. Our agent is integrative in nature i.e, it possesses the capability to negotiate on price as well as other factors, such as the addition or removal of items from a deal bundle, thereby offering a more.. 2023. 10. 31.
[2023-10-30] 오늘의 자연어처리 Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models With LLMs shifting their role from statistical modeling of language to serving as general-purpose AI agents, how should LLM evaluations change? Arguably, a key ability of an AI agent is to flexibly combine, as needed, the basic skills it has learned. The capability to combine skills plays an important role in (human) pedago.. 2023. 10. 30.
[2023-10-29] 오늘의 자연어처리 Global Voices, Local Biases: Socio-Cultural Prejudices across Languages Human biases are ubiquitous but not uniform: disparities exist across linguistic, cultural, and societal borders. As large amounts of recent literature suggest, language models (LMs) trained on human data can reflect and often amplify the effects of these social biases. However, the vast majority of existing studies on bias .. 2023. 10. 29.
반응형