Saved in:
| Main Authors: | Chen, Jun Yu, Gao, Tao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.17255 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI
by: Kandogan, Eser, et al.
Published: (2025)
by: Kandogan, Eser, et al.
Published: (2025)
Large Language Model Agent for Hyper-Parameter Optimization
by: Liu, Siyi, et al.
Published: (2024)
by: Liu, Siyi, et al.
Published: (2024)
Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT
by: Shakil, Hassan, et al.
Published: (2024)
by: Shakil, Hassan, et al.
Published: (2024)
World Models with Hints of Large Language Models for Goal Achieving
by: Liu, Zeyuan, et al.
Published: (2024)
by: Liu, Zeyuan, et al.
Published: (2024)
Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
by: Han, Dongge, et al.
Published: (2025)
by: Han, Dongge, et al.
Published: (2025)
Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions
by: Tsai, Chen Feng, et al.
Published: (2023)
by: Tsai, Chen Feng, et al.
Published: (2023)
Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning
by: Basnet, Animesh Singh, et al.
Published: (2024)
by: Basnet, Animesh Singh, et al.
Published: (2024)
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
by: Chen, Weizhe, et al.
Published: (2024)
by: Chen, Weizhe, et al.
Published: (2024)
World Modelling Improves Language Model Agents
by: Guo, Shangmin, et al.
Published: (2025)
by: Guo, Shangmin, et al.
Published: (2025)
CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models
by: Cheng, Yutong, et al.
Published: (2024)
by: Cheng, Yutong, et al.
Published: (2024)
Policy and World Modeling Co-Training for Language Agents
by: Lu, Ning, et al.
Published: (2026)
by: Lu, Ning, et al.
Published: (2026)
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
by: Gao, Yang, et al.
Published: (2025)
by: Gao, Yang, et al.
Published: (2025)
GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents
by: Wu, Xiongbin, et al.
Published: (2026)
by: Wu, Xiongbin, et al.
Published: (2026)
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
by: Gu, Yang, et al.
Published: (2024)
by: Gu, Yang, et al.
Published: (2024)
G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with Fine-Tuned Large Language Models
by: Yu, Zhaoning, et al.
Published: (2024)
by: Yu, Zhaoning, et al.
Published: (2024)
LLM-FS-Agent: A Deliberative Role-based Large Language Model Architecture for Transparent Feature Selection
by: Bal-Ghaoui, Mohamed, et al.
Published: (2025)
by: Bal-Ghaoui, Mohamed, et al.
Published: (2025)
The Challenge of Achieving Attributability in Multilingual Table-to-Text Generation with Question-Answer Blueprints
by: Haussmann, Aden
Published: (2025)
by: Haussmann, Aden
Published: (2025)
Can Large Language Models Infer Causal Relationships from Real-World Text?
by: Saklad, Ryan, et al.
Published: (2025)
by: Saklad, Ryan, et al.
Published: (2025)
DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents
by: Zhao, Jiahao, et al.
Published: (2026)
by: Zhao, Jiahao, et al.
Published: (2026)
ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
by: Tang, Yihong, et al.
Published: (2024)
by: Tang, Yihong, et al.
Published: (2024)
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
by: Jin, Zhuoran, et al.
Published: (2024)
by: Jin, Zhuoran, et al.
Published: (2024)
Subgoal Graph-Augmented Planning for LLM-Guided Open-World Reinforcement Learning
by: Fan, Shanwei, et al.
Published: (2025)
by: Fan, Shanwei, et al.
Published: (2025)
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
by: Lee, Geon, et al.
Published: (2025)
by: Lee, Geon, et al.
Published: (2025)
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
by: Fu, Yonggan, et al.
Published: (2024)
by: Fu, Yonggan, et al.
Published: (2024)
Compositional Planning with Jumpy World Models
by: Farebrother, Jesse, et al.
Published: (2026)
by: Farebrother, Jesse, et al.
Published: (2026)
Aligning Agents like Large Language Models
by: Jelley, Adam, et al.
Published: (2024)
by: Jelley, Adam, et al.
Published: (2024)
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation
by: Hu, Mengkang, et al.
Published: (2024)
by: Hu, Mengkang, et al.
Published: (2024)
Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
by: Liu, Youwei, et al.
Published: (2026)
by: Liu, Youwei, et al.
Published: (2026)
Agent Planning with World Knowledge Model
by: Qiao, Shuofei, et al.
Published: (2024)
by: Qiao, Shuofei, et al.
Published: (2024)
Structured Agent Distillation for Large Language Model
by: Liu, Jun, et al.
Published: (2025)
by: Liu, Jun, et al.
Published: (2025)
Discovering and Reasoning of Causality in the Hidden World with Large Language Models
by: Liu, Chenxi, et al.
Published: (2024)
by: Liu, Chenxi, et al.
Published: (2024)
EEGAgent: A Unified Framework for Automated EEG Analysis Using Large Language Models
by: Zhao, Sha, et al.
Published: (2025)
by: Zhao, Sha, et al.
Published: (2025)
MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model
by: Jin, Jiongchao, et al.
Published: (2025)
by: Jin, Jiongchao, et al.
Published: (2025)
Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use
by: Liu, Hanbing, et al.
Published: (2026)
by: Liu, Hanbing, et al.
Published: (2026)
FutureWorld: A Live Reinforcement Learning Environment for Predictive Agents with Real-World Outcome Rewards
by: Han, Zhixin, et al.
Published: (2026)
by: Han, Zhixin, et al.
Published: (2026)
The Compositional Architecture of Regret in Large Language Models
by: Cui, Xiangxiang, et al.
Published: (2025)
by: Cui, Xiangxiang, et al.
Published: (2025)
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
by: Wang, Siqi, et al.
Published: (2024)
by: Wang, Siqi, et al.
Published: (2024)
Build, Judge, Optimize: A Blueprint for Continuous Improvement of Multi-Agent Consumer Assistants
by: Herrera, Alejandro Breen, et al.
Published: (2026)
by: Herrera, Alejandro Breen, et al.
Published: (2026)
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
by: Tong, Jingwen, et al.
Published: (2024)
by: Tong, Jingwen, et al.
Published: (2024)
Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning
by: Song, Haoran, et al.
Published: (2025)
by: Song, Haoran, et al.
Published: (2025)
Similar Items
-
Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI
by: Kandogan, Eser, et al.
Published: (2025) -
Large Language Model Agent for Hyper-Parameter Optimization
by: Liu, Siyi, et al.
Published: (2024) -
Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT
by: Shakil, Hassan, et al.
Published: (2024) -
World Models with Hints of Large Language Models for Goal Achieving
by: Liu, Zeyuan, et al.
Published: (2024) -
Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
by: Han, Dongge, et al.
Published: (2025)