HuggingGraph: Understanding the Supply Chain of LLM Ecosystem
Fuente:
arXiv
Saved in:
| Main Authors: | Rahman, Mohammad Shahedur, Gao, Peng, Ji, Yuede |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems
by: Qu, Yubin, et al.
Published: (2026)
by: Qu, Yubin, et al.
Published: (2026)
MultimodalHugs: Enabling Sign Language Processing in Hugging Face
by: Sant, Gerard, et al.
Published: (2025)
by: Sant, Gerard, et al.
Published: (2025)
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models
by: AlMahri, Sara, et al.
Published: (2024)
by: AlMahri, Sara, et al.
Published: (2024)
HugAgent: Benchmarking LLMs for Simulation of Individualized Human Reasoning
by: Li, Chance Jiajie, et al.
Published: (2025)
by: Li, Chance Jiajie, et al.
Published: (2025)
Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks
by: Rahman, Hasibur, et al.
Published: (2025)
by: Rahman, Hasibur, et al.
Published: (2025)
CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era
by: Feng, Yanlin, et al.
Published: (2024)
by: Feng, Yanlin, et al.
Published: (2024)
Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length
by: Chen, Jingxuan, et al.
Published: (2026)
by: Chen, Jingxuan, et al.
Published: (2026)
Efficient LLM-Jailbreaking via Multimodal-LLM Jailbreak
by: Ji, Haoxuan, et al.
Published: (2024)
by: Ji, Haoxuan, et al.
Published: (2024)
Saturation-Driven Dataset Generation for LLM Mathematical Reasoning in the TPTP Ecosystem
by: Quesnel, Valentin, et al.
Published: (2025)
by: Quesnel, Valentin, et al.
Published: (2025)
See or Say Graphs: Agent-Driven Scalable Graph Structure Understanding with Vision-Language Models
by: Han, Shuo, et al.
Published: (2025)
by: Han, Shuo, et al.
Published: (2025)
CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning
by: Zhu, Wenqiao, et al.
Published: (2025)
by: Zhu, Wenqiao, et al.
Published: (2025)
Why Chain of Thought Fails in Clinical Text Understanding
by: Wu, Jiageng, et al.
Published: (2025)
by: Wu, Jiageng, et al.
Published: (2025)
GCoT: Chain-of-Thought Prompt Learning for Graphs
by: Yu, Xingtong, et al.
Published: (2025)
by: Yu, Xingtong, et al.
Published: (2025)
GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
by: Zhang, Ziyin, et al.
Published: (2024)
by: Zhang, Ziyin, et al.
Published: (2024)
Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning
by: Gao, Junqi, et al.
Published: (2025)
by: Gao, Junqi, et al.
Published: (2025)
Understanding Layer Significance in LLM Alignment
by: Shi, Guangyuan, et al.
Published: (2024)
by: Shi, Guangyuan, et al.
Published: (2024)
ChainEdit: Propagating Ripple Effects in LLM Knowledge Editing through Logical Rule-Guided Chains
by: Dong, Zilu, et al.
Published: (2025)
by: Dong, Zilu, et al.
Published: (2025)
Self-signals Driven Multi-LLM Debate for Efficient and Accurate Reasoning
by: Chen, Xuhang, et al.
Published: (2025)
by: Chen, Xuhang, et al.
Published: (2025)
Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures
by: Pandey, Tushar, et al.
Published: (2025)
by: Pandey, Tushar, et al.
Published: (2025)
ECLM: Entity Level Language Model for Spoken Language Understanding with Chain of Intent
by: Yin, Shangjian, et al.
Published: (2024)
by: Yin, Shangjian, et al.
Published: (2024)
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference
by: Li, Zeping, et al.
Published: (2024)
by: Li, Zeping, et al.
Published: (2024)
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)
by: Chen, Qiguang, et al.
Published: (2025)
AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots
by: Zhao, Xinjie, et al.
Published: (2025)
by: Zhao, Xinjie, et al.
Published: (2025)
Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
by: Hassid, Michael, et al.
Published: (2025)
by: Hassid, Michael, et al.
Published: (2025)
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
by: Luo, Zihan, et al.
Published: (2024)
by: Luo, Zihan, et al.
Published: (2024)
DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS
by: Wang, Yingxu, et al.
Published: (2025)
by: Wang, Yingxu, et al.
Published: (2025)
From Chains to Graphs: Self-Structured Reasoning for General-Domain LLMs
by: Chen, Yingjian, et al.
Published: (2026)
by: Chen, Yingjian, et al.
Published: (2026)
Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion
by: Luo, Ruilin, et al.
Published: (2024)
by: Luo, Ruilin, et al.
Published: (2024)
Continuous Bangla Sign Language Translation: Mitigating the Expense of Gloss Annotation with the Assistance of Graph
by: Arib, Safaeid Hossain, et al.
Published: (2025)
by: Arib, Safaeid Hossain, et al.
Published: (2025)
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
by: Huan, Maggie, et al.
Published: (2025)
by: Huan, Maggie, et al.
Published: (2025)
Rethinking Text-based Protein Understanding: Retrieval or LLM?
by: Wu, Juntong, et al.
Published: (2025)
by: Wu, Juntong, et al.
Published: (2025)
PolicyBank: Evolving Policy Understanding for LLM Agents
by: Choi, Jihye, et al.
Published: (2026)
by: Choi, Jihye, et al.
Published: (2026)
LLM-based Translation Inference with Iterative Bilingual Understanding
by: Chen, Andong, et al.
Published: (2024)
by: Chen, Andong, et al.
Published: (2024)
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
by: Kumar, Shanu, et al.
Published: (2024)
by: Kumar, Shanu, et al.
Published: (2024)
Executable Code Actions Elicit Better LLM Agents
by: Wang, Xingyao, et al.
Published: (2024)
by: Wang, Xingyao, et al.
Published: (2024)
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning
by: Peng, Jie, et al.
Published: (2025)
by: Peng, Jie, et al.
Published: (2025)
Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information
by: Struppek, Lukas, et al.
Published: (2025)
by: Struppek, Lukas, et al.
Published: (2025)
Assessing LLM Reasoning Through Implicit Causal Chain Discovery in Climate Discourse
by: Allein, Liesbeth, et al.
Published: (2025)
by: Allein, Liesbeth, et al.
Published: (2025)
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents
by: Li, Long, et al.
Published: (2024)
by: Li, Long, et al.
Published: (2024)
LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions
by: Rahman, Mizanur, et al.
Published: (2025)
by: Rahman, Mizanur, et al.
Published: (2025)
Similar Items
-
Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems
by: Qu, Yubin, et al.
Published: (2026) -
MultimodalHugs: Enabling Sign Language Processing in Hugging Face
by: Sant, Gerard, et al.
Published: (2025) -
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models
by: AlMahri, Sara, et al.
Published: (2024) -
HugAgent: Benchmarking LLMs for Simulation of Individualized Human Reasoning
by: Li, Chance Jiajie, et al.
Published: (2025) -
Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks
by: Rahman, Hasibur, et al.
Published: (2025)