9 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Proof-of-Use: Mitigating Tool-Call Hacking in Deep Research Agents
Shengjie Ma, SHengjie Ma, Chenlong Deng +6
While reinforcement learning (RL) enhances their ability to plan and reason across retrieval steps, we identify a critical failure mode in this setting: Tool-Call Hacking. Unlike e…
cs.CL2024★ 9 cited
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
Shengjie Ma, Chengjin Xu, Xuhui Jiang +5
Retrieval-augmented generation (RAG) has improved large language models (LLMs) by using knowledge retrieval to overcome knowledge deficiencies. However, current RAG methods often f…
cs.AI2024★ 3 cited
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval
Shengjie Ma, Qi Chu, Jiaxin Mao +3
Determining which legal cases are relevant to a given query involves navigating lengthy texts and applying nuanced legal reasoning. Traditionally, this task has demanded significan…