Cover Image

AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lan, Xiaochong, Feng, Jie, Liu, Yinxing, Shi, Xinlei, Li, Yong
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LocalGPT: Benchmarking and Advancing Large Language Models for Local Life Services in Meituan
by: Lan, Xiaochong, et al.
Published: (2025)

Stance Detection with Collaborative Role-Infused LLM-Based Agents
by: Lan, Xiaochong, et al.
Published: (2023)

Automated Interpretability and Feature Discovery in Language Models with Agents
by: Marin-Llobet, Arnau, et al.
Published: (2026)

The Thinking Spectrum: An Empirical Study of Tunable Reasoning in LLMs through Model Merging
by: Lan, Xiaochong, et al.
Published: (2025)

Depression Detection on Social Media with Large Language Models
by: Lan, Xiaochong, et al.
Published: (2024)

AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents
by: Tang, Jiabin, et al.
Published: (2025)

Open-Set Living Need Prediction with Large Language Models
by: Lan, Xiaochong, et al.
Published: (2025)

TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration
by: Du, Yuwei, et al.
Published: (2024)

Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
by: Kim, Jaekyeom, et al.
Published: (2024)

AutoContext: Instance-Level Context Learning for LLM Agents
by: Cai, Kuntai, et al.
Published: (2025)

AutoEvoEval: An Automated Framework for Evolving Close-Ended LLM Evaluation Data
by: Wu, JiaRu, et al.
Published: (2025)

Cutscene Agent: An LLM Agent Framework for Automated 3D Cutscene Generation
by: He, Lanshan, et al.
Published: (2026)

AutoForge: Automated Environment Synthesis for Agentic Reinforcement Learning
by: Cai, Shihao, et al.
Published: (2025)

SkillMaster: Toward Autonomous Skill Mastery in LLM Agents
by: Yang, Min, et al.
Published: (2026)

Code Broker: A Multi-Agent System for Automated Code Quality Assessment
by: Attrah, Samer
Published: (2026)

Automated Concept Discovery for LLM-as-a-Judge Preference Analysis
by: Wedgwood, James, et al.
Published: (2026)

AutoEnv: Automated Environments for Measuring Cross-Environment Agent Learning
by: Zhang, Jiayi, et al.
Published: (2025)

AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning
by: Chen, Minghao, et al.
Published: (2024)

AutoFlow: Automated Workflow Generation for Large Language Model Agents
by: Li, Zelong, et al.
Published: (2024)

AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling
by: Zhang, Zhining, et al.
Published: (2025)

AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications
by: Shen, Leming, et al.
Published: (2025)

AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive
by: Guo, Taicheng, et al.
Published: (2026)

Enhancing Local Life Service Recommendation with Agentic Reasoning in Large Language Model
by: Cao, Shiteng, et al.
Published: (2026)

Affording Process Auditability with QualAnalyzer: An Atomistic LLM Analysis Tool for Qualitative Research
by: Lu, Max Hao, et al.
Published: (2026)

AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition
by: Wang, Yun, et al.
Published: (2025)

Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment
by: Pei, Jiahuan, et al.
Published: (2025)

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
by: Yang, Zonglin, et al.
Published: (2023)

AutoPDL: Automatic Prompt Optimization for LLM Agents
by: Spiess, Claudio, et al.
Published: (2025)

TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration
by: Ma, Zerun, et al.
Published: (2026)

Automating Legal Interpretation with LLMs: Retrieval, Generation, and Evaluation
by: Luo, Kangcheng, et al.
Published: (2025)

DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
by: Jansen, Peter, et al.
Published: (2024)

Look Before You Leap: Autonomous Exploration for LLM Agents
by: Ye, Ziang, et al.
Published: (2026)

FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol
by: Zhu, Jie, et al.
Published: (2026)

Automated Survey Collection with LLM-based Conversational Agents
by: Kaiyrbekov, Kurmanbek, et al.
Published: (2025)

Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Framework
by: Hu, Yuting, et al.
Published: (2024)

CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations
by: Yu, Xiangning, et al.
Published: (2026)

AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
by: Trirat, Patara, et al.
Published: (2024)

LaQual: A Novel Framework for Automated Evaluation of LLM App Quality
by: Wang, Yan, et al.
Published: (2025)

AutoPatent: A Multi-Agent Framework for Automatic Patent Generation
by: Wang, Qiyao, et al.
Published: (2024)

Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents
by: Yehudai, Asaf, et al.
Published: (2026)