Anders Johannsen — accepted AI-conference papers

2025

ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution

Alexandru Coca, Mark Gaynor, Zhenxing Zhang, Jianpeng Cheng, Bo-Hsiang Tseng, Peter Boothroyd +3

ACL 2025long

This work evaluates the potential of large language models (LLMs) to power digital assistants capable of complex action execution. Such assistants rely on pre-trained programming knowledge to execute multi-step goals by composing objects and functions defined in assistant libraries into action execu…

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2024

Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries

Seanie Lee, Jianpeng Cheng, Joris Driesen, Alexandru Coca, Anders Johannsen

NAACL 2024long

Few-shot dialogue state tracking (DST) with Large Language Models (LLM) relies on an effective and efficient conversation retriever to find similar in-context examples for prompt learning. Previous works use raw dialogue context as search keys and queries, and a retriever is fine-tuned with annotate…

Cited by 4 Source ↗PDF ↗Scholar ↗