1 citations · 1 across the 12 of their papers we have counts for
6 papers · 1 filter
Chain-of-Trigger: An Agentic Backdoor that Paradoxically Enhances Agentic Robustness
Jiyang Qiu, Xinbei Ma, Yunqing Xu +2
The rapid deployment of large language model (LLM)-based agents in real-world applications has raised serious concerns about their trustworthiness. In this work, we reveal the secu…
PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization
Zouying Cao, Runze Wang, Yifei Yang +4
Large Language Model (LLM) agents have demonstrated impressive capabilities in handling complex interactive problems. Existing LLM agents mainly generate natural language plans to…
How Deep is Love in LLMs' Hearts? Exploring Semantic Size in Human-like Cognition
Yao Yao, Yifei Yang, Xinbei Ma +4
How human cognitive abilities are formed has long captivated researchers. However, a significant challenge lies in developing meaningful methods to measure these complex processes.…
Textual-to-Visual Iterative Self-Verification for Slide Generation
Yunqing Xu, Xinbei Ma, Jiyang Qiu +1
Generating presentation slides is a time-consuming task that urgently requires automation. Due to their limited flexibility and lack of automated refinement mechanisms, existing au…
Plan-over-Graph: Towards Parallelable LLM Agent Schedule
Shiqi Zhang, Xinbei Ma, Zouying Cao +2
Large Language Models (LLMs) have demonstrated exceptional abilities in reasoning for task planning. However, challenges remain under-explored for parallel schedules. This paper in…
LESA: Learnable LLM Layer Scaling-Up
Yifei Yang, Zouying Cao, Xinbei Ma +4
Training Large Language Models (LLMs) from scratch requires immense computational resources, making it prohibitively expensive. Model scaling-up offers a promising solution by leve…