:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Jianwei, Wang, Mengqi, Zhou, Yinsi, Xing, Zhenchang, Liu, Qing, Xu, Xiwei, Zhang, Wenjie, Zhu, Liming
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2505.22959
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection
by: Wang, Mengqi, et al.
Published: (2025)

A Reference Architecture for Designing Foundation Model based Systems
by: Lu, Qinghua, et al.
Published: (2023)

A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
by: Lu, Qinghua, et al.
Published: (2023)

PrivGemo: Privacy-Preserving Dual-Tower Graph Retrieval for Empowering LLM Reasoning with Memory Augmentation
by: Tan, Xingyu, et al.
Published: (2026)

HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning
by: Tan, Xingyu, et al.
Published: (2025)

MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning
by: Tan, Xingyu, et al.
Published: (2025)

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems
by: Zhang, Dawen, et al.
Published: (2024)

Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning
by: Tan, Xingyu, et al.
Published: (2024)

PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation
by: Zai, Xiangjun, et al.
Published: (2025)

Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions
by: Zhang, Dawen, et al.
Published: (2023)

From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps
by: Chen, Jieshan, et al.
Published: (2024)

Retrieval-Augmented Review Generation for Poisoning Recommender Systems
by: Yang, Shiyi, et al.
Published: (2025)

HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery
by: Liu, Shiyuan, et al.
Published: (2026)

DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents
by: Yang, Shiyi, et al.
Published: (2025)

Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs
by: Xu, Yuanyuan, et al.
Published: (2025)

SeeAction: Towards Reverse Engineering How-What-Where of HCI Actions from Screencasts for UI Automation
by: Zhao, Dehai, et al.
Published: (2025)

Multi-Perspective Evidence Synthesis and Reasoning for Unsupervised Multimodal Entity Linking
by: Zhou, Mo, et al.
Published: (2026)

Deployability-Centric Infrastructure-as-Code Generation: Fail, Learn, Refine, and Succeed through LLM-Empowered DevOps Simulation
by: Zhang, Tianyi, et al.
Published: (2025)

Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agents
by: Lu, Qinghua, et al.
Published: (2023)

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
by: Liu, Xiaoze, et al.
Published: (2024)

A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model
by: Zhou, Jingwen, et al.
Published: (2024)

DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments
by: Tang, Wenjie, et al.
Published: (2025)

MIRA: A Bilingual Benchmark for Medical Information Response Audit
by: Xu, Mengyu, et al.
Published: (2026)

Towards a Client-Centered Assessment of LLM Therapists by Client Simulation
by: Wang, Jiashuo, et al.
Published: (2024)

From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship
by: Xu, Yue, et al.
Published: (2025)

LITMUS: Benchmarking Behavioral Jailbreaks of LLM Agents in Real OS Environments
by: Zhang, Chiyu, et al.
Published: (2026)

CompliBench: Benchmarking LLM Judges for Compliance Violation Detection in Dialogue Systems
by: Yang, Jingbo, et al.
Published: (2026)

Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
by: Zhang, Dawen, et al.
Published: (2023)

TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems
by: Xu, Chen, et al.
Published: (2026)

Still Manual? Automated Linter Configuration via DSL-Based LLM Compilation of Coding Standards
by: Zhang, Zejun, et al.
Published: (2026)

On the Hidden Costs of Counterfactual Knowledge Training in LLM Unlearning
by: Ye, Xiaotian, et al.
Published: (2026)

FinGuard: Detecting Financial Regulatory Non-Compliance in LLM Interactions
by: Dou, Huaixia, et al.
Published: (2026)

Benchmark^2: Systematic Evaluation of LLM Benchmarks
by: Qian, Qi, et al.
Published: (2026)

Open Problems and a Hypothetical Path Forward in LLM Knowledge Paradigms
by: Ye, Xiaotian, et al.
Published: (2025)

Automated Soap Opera Testing Directed by LLMs and Scenario Knowledge: Feasibility, Challenges, and Road Ahead
by: Su, Yanqi, et al.
Published: (2024)

MANTRA: Synthesizing SMT-Validated Compliance Benchmarks for Tool-Using LLM Agents
by: Anand, Ashwani, et al.
Published: (2026)

Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges
by: Liu, Qin, et al.
Published: (2024)

$\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models
by: Xu, Yue, et al.
Published: (2024)

Beyond Jailbreaks: Revealing Stealthier and Broader LLM Security Risks Stemming from Alignment Failures
by: Zhou, Yukai, et al.
Published: (2025)

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle
by: Liu, Keliang, et al.
Published: (2025)