4 citations · 6 across the 5 of their papers we have counts for
5 papers
LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph Retrieval
Mike Hang Wang, Utkarsh Garg, Reza Davari +5
We introduce LEDGER to tackle the novel context engineering challenge of agentic document editing, where localized edits to long, structured documents must be applied efficiently w…
DocReward: A Document Reward Model for Structuring and Stylizing
Junpeng Liu, Yuzhong Zhao, Bowen Cao +17
Recent agentic workflows automate professional document generation but focus narrowly on textual quality, overlooking structural and stylistic professionalism, which is equally cri…
SAGEval: The frontiers of Satisfactory Agent based NLG Evaluation for reference-free open-ended text
Reshmi Ghosh, Tianyi Yao, Lizzy Chen +5
Large Language Model (LLM) integrations into applications like Microsoft365 suite and Google Workspace for creating/processing documents, emails, presentations, etc. has led to con…
Gradable ChatGPT Translation Evaluation
Hui Jiao, Bei Peng, Lu Zong +2
ChatGPT, as a language model based on large-scale pre-training, has exerted a profound influence on the domain of machine translation. In ChatGPT, a "Prompt" refers to a segment of…
Natural Language Commanding via Program Synthesis
Apurva Gandhi, Thong Q. Nguyen, Huitian Jiao +2
We present Semantic Interpreter, a natural language-friendly AI system for productivity software such as Microsoft Office that leverages large language models (LLMs) to execute use…