4 citations · 5 across the 7 of their papers we have counts for
9 papers
Hallucination Across the Reasoning Lifecycle: Interface Visibility, Causal Evidence, and Release Control in Large Reasoning Models
Zhe Yu, Mohan Li, Lei Yu +6
Reasoning errors can propagate into later decisions and memory. This survey synthesizes 312 papers and first-party reports on text-based reasoning hallucinations around three quest…
MCPAgentBench: A Real-world Task Benchmark for Evaluating LLM Agent MCP Tool Use
Wenrui Liu, Zixiang Liu, Elsie Dai +5
Large Language Models (LLMs) are increasingly serving as autonomous agents, and their utilization of external tools via the Model Context Protocol (MCP) is considered a future tren…
SEDM: Selective Self-Evolving Distributed Memory for Agents
Yichen Liu, Haoran Xu, Jiacong Hu +20
Agents in a society can reuse each other's experience, but indiscriminate memory use increases processing cost and can reduce task success. We present SEDM (Selective Self-Evolving…
Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM
Lei Yu, Yechao Zhang, Ziqi Zhou +6
With the rapid development of the Vision-Language Model (VLM), significant progress has been made in Visual Question Answering (VQA) tasks. However, existing VLM often generate ina…
Leveraging Large Language Models for Enhanced Digital Twin Modeling: Trends, Methods, and Challenges
Linyao Yang, Shi Luo, Xi Cheng +1
Digital twin technology is a transformative innovation driving the digital transformation and intelligent optimization of manufacturing systems. By integrating real-time data with…
Fresh2comm: Information Freshness Optimized Collaborative Perception
Ziyong Wu, Zhilin Peng, Lei Yu
Collaborative perception is a cornerstone of intelligent connected vehicles, enabling them to share and integrate sensory data to enhance situational awareness. However, measuring…
SWE-bench-java: A GitHub Issue Resolving Benchmark for Java
Daoguang Zan, Zhirong Huang, Ailun Yu +17
GitHub issue resolving is a critical task in software engineering, recently gaining significant attention in both industry and academia. Within this task, SWE-bench has been releas…
An LLM Maturity Model for Reliable and Transparent Text-to-Query
Lei Yu, Abir Ray
Recognizing the imperative to address the reliability and transparency issues of Large Language Models (LLM), this work proposes an LLM maturity model tailored for text-to-query ap…
RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models
Meiling Tao, Xuechen Liang, Tianyu Shi +2
This study presents RoleCraft-GLM, an innovative framework aimed at enhancing personalized role-playing with Large Language Models (LLMs). RoleCraft-GLM addresses the key issue of…