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20212026
most citedQuery Rewriting for Retrieval-Augmented Large Language Models

14 citations · 33 across the 24 of their papers we have counts for

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9 papers · 1 filter

cs.AI2025

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…

cs.AI2025

ParaCook: On Time-Efficient Planning for Multi-Agent Systems

Shiqi Zhang, Xinbei Ma, Yunqing Xu +7

Large Language Models (LLMs) exhibit strong reasoning abilities for planning long-horizon, real-world tasks, yet existing agent benchmarks focus on task completion while neglecting…

cs.AI2025

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…

cs.AI2025

Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints

Dongjie Yang, Chengqiang Lu, Qimeng Wang +4

Unlike reasoning, which often entails a deep sequence of deductive steps, complex real-world planning is characterized by the need to synthesize a broad spectrum of parallel and po…

cs.AI2025

EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks

Yijie Lu, Manman Zhao, Tianjie Ju +6

Graphical User Interface (GUI) agents powered by Multimodal Large Language Models (MLLMs) are increasingly deployed yet vulnerable to Environmental Injection Attacks (EIAs).However…

cs.CL2025

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.…

cs.CL2025

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…

cs.AI2025

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…

cs.LG2025

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…