A unified foundational framework for knowledge injection and evaluation of Large Language Models in Combustion Science
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Zonglin, Mao, Runze, Wu, Tianhao, Li, Han, Zhou, QingGuo, Chen, Zhi X. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Full-Stack Domain Enhancement for Combustion LLMs: Construction and Optimization
by: Xiao, Quanjia, et al.
Published: (2026)
by: Xiao, Quanjia, et al.
Published: (2026)
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation
by: Wysocka, Magdalena, et al.
Published: (2023)
by: Wysocka, Magdalena, et al.
Published: (2023)
Towards a unified framework for programming paradigms: A systematic review of classification formalisms and methodological foundations
by: Vandeloise, Mikel
Published: (2025)
by: Vandeloise, Mikel
Published: (2025)
LLM4SR: A Survey on Large Language Models for Scientific Research
by: Luo, Ziming, et al.
Published: (2025)
by: Luo, Ziming, et al.
Published: (2025)
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
by: Lv, Kangtao, et al.
Published: (2025)
by: Lv, Kangtao, et al.
Published: (2025)
Measuring Spiritual Values and Bias of Large Language Models
by: Liu, Songyuan, et al.
Published: (2024)
by: Liu, Songyuan, et al.
Published: (2024)
Relative Kinetic Utility for Reasoning-Aware Structural Pruning in Large Language Models
by: Qian, Tianhao
Published: (2026)
by: Qian, Tianhao
Published: (2026)
Harnessing Large Language Models for Scientific Novelty Detection
by: Liu, Yan, et al.
Published: (2025)
by: Liu, Yan, et al.
Published: (2025)
IoT-LLM: a framework for enhancing Large Language Model reasoning from real-world sensor data
by: An, Tuo, et al.
Published: (2024)
by: An, Tuo, et al.
Published: (2024)
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
by: Yang, Zonglin, et al.
Published: (2023)
by: Yang, Zonglin, et al.
Published: (2023)
Logical Reasoning over Natural Language as Knowledge Representation: A Survey
by: Yang, Zonglin, et al.
Published: (2023)
by: Yang, Zonglin, et al.
Published: (2023)
Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities
by: Huang, Yiming, et al.
Published: (2025)
by: Huang, Yiming, et al.
Published: (2025)
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks
by: Wang, Yifan, et al.
Published: (2023)
by: Wang, Yifan, et al.
Published: (2023)
Large Language Model as Token Compressor and Decompressor
by: Li, Wenbing, et al.
Published: (2026)
by: Li, Wenbing, et al.
Published: (2026)
Reliable and diverse evaluation of LLM medical knowledge mastery
by: Zhou, Yuxuan, et al.
Published: (2024)
by: Zhou, Yuxuan, et al.
Published: (2024)
EnviroExam: Benchmarking Environmental Science Knowledge of Large Language Models
by: Huang, Yu, et al.
Published: (2024)
by: Huang, Yu, et al.
Published: (2024)
Mining experimental data from Materials Science literature with Large Language Models: an evaluation study
by: Foppiano, Luca, et al.
Published: (2024)
by: Foppiano, Luca, et al.
Published: (2024)
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
by: Yang, Zonglin, et al.
Published: (2024)
by: Yang, Zonglin, et al.
Published: (2024)
KnowsLM: A framework for evaluation of small language models for knowledge augmentation and humanised conversations
by: Harbola, Chitranshu, et al.
Published: (2025)
by: Harbola, Chitranshu, et al.
Published: (2025)
Computational Protein Science in the Era of Large Language Models (LLMs)
by: Fan, Wenqi, et al.
Published: (2025)
by: Fan, Wenqi, et al.
Published: (2025)
RoleEval: A Bilingual Role Evaluation Benchmark for Large Language Models
by: Shen, Tianhao, et al.
Published: (2023)
by: Shen, Tianhao, et al.
Published: (2023)
Computational Reasoning of Large Language Models
by: Wu, Haitao, et al.
Published: (2025)
by: Wu, Haitao, et al.
Published: (2025)
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
by: Qi, QingGuo, et al.
Published: (2024)
by: Qi, QingGuo, et al.
Published: (2024)
Open-SQL Framework: Enhancing Text-to-SQL on Open-source Large Language Models
by: Chen, Xiaojun, et al.
Published: (2024)
by: Chen, Xiaojun, et al.
Published: (2024)
Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models
by: Song, Siqi, et al.
Published: (2025)
by: Song, Siqi, et al.
Published: (2025)
EmbedLLM: Learning Compact Representations of Large Language Models
by: Zhuang, Richard, et al.
Published: (2024)
by: Zhuang, Richard, et al.
Published: (2024)
Digital Gatekeepers: Exploring Large Language Model's Role in Immigration Decisions
by: Mao, Yicheng, et al.
Published: (2025)
by: Mao, Yicheng, et al.
Published: (2025)
MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting
by: Li, Tianhao, et al.
Published: (2024)
by: Li, Tianhao, et al.
Published: (2024)
Schrodinger's Memory: Large Language Models
by: Wang, Wei, et al.
Published: (2024)
by: Wang, Wei, et al.
Published: (2024)
How Can Large Language Models Understand Spatial-Temporal Data?
by: Liu, Lei, et al.
Published: (2024)
by: Liu, Lei, et al.
Published: (2024)
A Survey of Context Engineering for Large Language Models
by: Mei, Lingrui, et al.
Published: (2025)
by: Mei, Lingrui, et al.
Published: (2025)
Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
by: Xu, Xin, et al.
Published: (2026)
by: Xu, Xin, et al.
Published: (2026)
SafeLawBench: Towards Safe Alignment of Large Language Models
by: Cao, Chuxue, et al.
Published: (2025)
by: Cao, Chuxue, et al.
Published: (2025)
Evaluating Hydro-Science and Engineering Knowledge of Large Language Models
by: Hu, Shiruo, et al.
Published: (2025)
by: Hu, Shiruo, et al.
Published: (2025)
Activation-Guided Consensus Merging for Large Language Models
by: Yao, Yuxuan, et al.
Published: (2025)
by: Yao, Yuxuan, et al.
Published: (2025)
CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models
by: Zhou, Zhenhong, et al.
Published: (2025)
by: Zhou, Zhenhong, 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)
Meta Reasoning for Large Language Models
by: Gao, Peizhong, et al.
Published: (2024)
by: Gao, Peizhong, et al.
Published: (2024)
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models
by: Bai, Yanhong, et al.
Published: (2024)
by: Bai, Yanhong, et al.
Published: (2024)
Similar Items
-
Full-Stack Domain Enhancement for Combustion LLMs: Construction and Optimization
by: Xiao, Quanjia, et al.
Published: (2026) -
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation
by: Wysocka, Magdalena, et al.
Published: (2023) -
Towards a unified framework for programming paradigms: A systematic review of classification formalisms and methodological foundations
by: Vandeloise, Mikel
Published: (2025) -
LLM4SR: A Survey on Large Language Models for Scientific Research
by: Luo, Ziming, et al.
Published: (2025) -
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
by: Lv, Kangtao, et al.
Published: (2025)