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cs.CL2024
Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning
Song Jiang, Da JU, Andrew Cohen +5
How are LLM-based agents used in the future? While many of the existing work on agents has focused on improving the performance of a specific family of objective and challenging ta…
cs.CL2023
End-to-end Story Plot Generator
Hanlin Zhu, Andrew Cohen, Danqing Wang +4
Story plots, while short, carry most of the essential information of a full story that may contain tens of thousands of words. We study the problem of automatic generation of story…
cs.CL2023★ 1 cited
Learning Personalized Alignment for Evaluating Open-ended Text Generation
Danqing Wang, Kevin Yang, Hanlin Zhu +4
Recent research has increasingly focused on evaluating large language models' (LLMs) alignment with diverse human values and preferences, particularly for open-ended tasks like sto…