11 citations · 20 across the 5 of their papers we have counts for
6 papers
FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modularized Collaboration
Dongwon Jung, Peng Shi, Muhao Chen +1
Scaling test-time computation has been shown to significantly improve large language model (LLM) performance without additional training. However, extending these techniques to mul…
Automating Function-Level TARA for Automotive Full-Lifecycle Security
Yuqiao Yang, Yongzhao Zhang, Wenhao Liu +9
As modern vehicles evolve into intelligent and connected systems, their growing complexity introduces significant cybersecurity risks. Threat Analysis and Risk Assessment (TARA) ha…
You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL
Hideo Kobayashi, Wuwei Lan, Peng Shi +5
While significant progress has been made on the text-to-SQL task, recent solutions repeatedly encode the same database schema for every question, resulting in unnecessary high infe…
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
Dongyu Ru, Lin Qiu, Xiangkun Hu +15
Despite Retrieval-Augmented Generation (RAG) showing promising capability in leveraging external knowledge, a comprehensive evaluation of RAG systems is still challenging due to th…
OpenAgents: An Open Platform for Language Agents in the Wild
Tianbao Xie, Fan Zhou, Zhoujun Cheng +13
Language agents show potential in being capable of utilizing natural language for varied and intricate tasks in diverse environments, particularly when built upon large language mo…
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation
Ali Mousavi, Xin Zhan, He Bai +9
Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be used to train forward and reverse neural models that generate text from KG and vice versa. However models t…