PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Bao, Han, Zhang, Penghao, Huang, Yue, Yuan, Zhengqing, Ru, Yanchi, Su, Rui, Zhou, Yujun, Wang, Xiangqi, Guo, Kehan, Chawla, Nitesh V, Ye, Yanfang, Zhang, Xiangliang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Causally-Enhanced Reinforcement Policy Optimization
by: Wang, Xiangqi, et al.
Published: (2025)
by: Wang, Xiangqi, et al.
Published: (2025)
Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?
by: Huang, Yue, et al.
Published: (2024)
by: Huang, Yue, et al.
Published: (2024)
Dual Optimal: Make Your LLM Peer-like with Dignity
by: Wang, Xiangqi, et al.
Published: (2026)
by: Wang, Xiangqi, et al.
Published: (2026)
SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization
by: Huang, Yue, et al.
Published: (2025)
by: Huang, Yue, et al.
Published: (2025)
Prioritization First, Principles Second: An Adaptive Interpretation of Helpful, Honest, and Harmless Principles
by: Huang, Yue, et al.
Published: (2025)
by: Huang, Yue, 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)
by: Guo, Taicheng, et al.
Published: (2026)
Horizon-LM: A RAM-Centric Architecture for LLM Training
by: Yuan, Zhengqing, et al.
Published: (2026)
by: Yuan, Zhengqing, et al.
Published: (2026)
ProbeLLM: Automating Principled Diagnosis of LLM Failures
by: Huang, Yue, et al.
Published: (2026)
by: Huang, Yue, et al.
Published: (2026)
AI Alignment Breaks at the Edge
by: Bao, Han, et al.
Published: (2026)
by: Bao, Han, et al.
Published: (2026)
Capability-Oriented Training Induced Alignment Risk
by: Zhou, Yujun, et al.
Published: (2026)
by: Zhou, Yujun, et al.
Published: (2026)
ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic Instructions
by: Huang, Yue, et al.
Published: (2025)
by: Huang, Yue, et al.
Published: (2025)
Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study
by: Zhou, Yujun, et al.
Published: (2025)
by: Zhou, Yujun, et al.
Published: (2025)
CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era
by: Shi, Kaiwen, et al.
Published: (2026)
by: Shi, Kaiwen, et al.
Published: (2026)
Drift-Bench: Diagnosing Cooperative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction
by: Bao, Han, et al.
Published: (2026)
by: Bao, Han, et al.
Published: (2026)
My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom
by: Ye, Jiayi, et al.
Published: (2025)
by: Ye, Jiayi, et al.
Published: (2025)
ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter
by: Yuan, Zhengqing, et al.
Published: (2023)
by: Yuan, Zhengqing, et al.
Published: (2023)
MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU
by: Yuan, Zhengqing, et al.
Published: (2026)
by: Yuan, Zhengqing, et al.
Published: (2026)
Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization
by: Zhang, Zheyuan, et al.
Published: (2026)
by: Zhang, Zheyuan, et al.
Published: (2026)
CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications
by: Chen, Chaoran, et al.
Published: (2024)
by: Chen, Chaoran, et al.
Published: (2024)
BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
by: Sokol, Anna, et al.
Published: (2024)
by: Sokol, Anna, et al.
Published: (2024)
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
by: Ye, Jiayi, et al.
Published: (2024)
by: Ye, Jiayi, et al.
Published: (2024)
Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis
by: Ma, Yijun, et al.
Published: (2026)
by: Ma, Yijun, et al.
Published: (2026)
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
by: Yuan, Zhengqing, et al.
Published: (2023)
by: Yuan, Zhengqing, et al.
Published: (2023)
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs
by: Zhou, Yujun, et al.
Published: (2024)
by: Zhou, Yujun, et al.
Published: (2024)
Pruning as a Domain-specific LLM Extractor
by: Zhang, Nan, et al.
Published: (2024)
by: Zhang, Nan, et al.
Published: (2024)
AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking in Large Language Models
by: Wang, Xiangqi, et al.
Published: (2025)
by: Wang, Xiangqi, et al.
Published: (2025)
NARRA-Gym for Evaluating Interactive Narrative Agents
by: Huang, Yue, et al.
Published: (2026)
by: Huang, Yue, et al.
Published: (2026)
AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
by: Zhang, Zheyuan, et al.
Published: (2025)
by: Zhang, Zheyuan, et al.
Published: (2025)
AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?
by: Bao, Han, et al.
Published: (2024)
by: Bao, Han, et al.
Published: (2024)
Reliable Control-Point Selection for Steering Reasoning in Large Language Models
by: Zhuang, Haomin, et al.
Published: (2026)
by: Zhuang, Haomin, et al.
Published: (2026)
NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
by: Shi, Kaiwen, et al.
Published: (2025)
by: Shi, Kaiwen, et al.
Published: (2025)
Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata
by: Yuan, Zhengqing, et al.
Published: (2025)
by: Yuan, Zhengqing, et al.
Published: (2025)
3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation
by: He, Yunhong, et al.
Published: (2025)
by: He, Yunhong, et al.
Published: (2025)
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
by: Guo, Taicheng, et al.
Published: (2024)
by: Guo, Taicheng, et al.
Published: (2024)
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
by: Li, Yiyang, et al.
Published: (2025)
by: Li, Yiyang, et al.
Published: (2025)
Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRT
by: Tao, Zhen, et al.
Published: (2024)
by: Tao, Zhen, et al.
Published: (2024)
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
by: Liang, Zhenwen, et al.
Published: (2024)
by: Liang, Zhenwen, et al.
Published: (2024)
HonestLLM: Toward an Honest and Helpful Large Language Model
by: Gao, Chujie, et al.
Published: (2024)
by: Gao, Chujie, et al.
Published: (2024)
ViT-1.58b: Mobile Vision Transformers in the 1-bit Era
by: Yuan, Zhengqing, et al.
Published: (2024)
by: Yuan, Zhengqing, et al.
Published: (2024)
PolicyPad: Collaborative Prototyping of LLM Policies
by: Feng, K. J. Kevin, et al.
Published: (2025)
by: Feng, K. J. Kevin, et al.
Published: (2025)
Similar Items
-
Causally-Enhanced Reinforcement Policy Optimization
by: Wang, Xiangqi, et al.
Published: (2025) -
Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?
by: Huang, Yue, et al.
Published: (2024) -
Dual Optimal: Make Your LLM Peer-like with Dignity
by: Wang, Xiangqi, et al.
Published: (2026) -
SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization
by: Huang, Yue, et al.
Published: (2025) -
Prioritization First, Principles Second: An Adaptive Interpretation of Helpful, Honest, and Harmless Principles
by: Huang, Yue, et al.
Published: (2025)