Saved in:
| Main Authors: | Gao, Jian, Zhang, Xiao, Wu, Ji, Li, Miao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.17954 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncovering inequalities in new knowledge learning by large language models across different languages
by: Wang, Chenglong, et al.
Published: (2025)
by: Wang, Chenglong, et al.
Published: (2025)
Infusing clinical knowledge into tokenisers for language models
by: Hasan, Abul, et al.
Published: (2024)
by: Hasan, Abul, et al.
Published: (2024)
Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning
by: Liu, Shengheng, et al.
Published: (2024)
by: Liu, Shengheng, et al.
Published: (2024)
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
by: Forouzandeh, Saman, et al.
Published: (2025)
by: Forouzandeh, Saman, et al.
Published: (2025)
Reproducible scaling laws for contrastive language-image learning
by: Cherti, Mehdi, et al.
Published: (2022)
by: Cherti, Mehdi, et al.
Published: (2022)
Applying sparse autoencoders to unlearn knowledge in language models
by: Farrell, Eoin, et al.
Published: (2024)
by: Farrell, Eoin, et al.
Published: (2024)
DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data
by: Pan, Liangrui, et al.
Published: (2023)
by: Pan, Liangrui, et al.
Published: (2023)
Reliable and diverse evaluation of LLM medical knowledge mastery
by: Zhou, Yuxuan, et al.
Published: (2024)
by: Zhou, Yuxuan, et al.
Published: (2024)
Retrieval-augmented in-context learning for multimodal large language models in disease classification
by: Zhan, Zaifu, et al.
Published: (2025)
by: Zhan, Zaifu, et al.
Published: (2025)
Emission-GPT: A domain-specific language model agent for knowledge retrieval, emission inventory and data analysis
by: Ye, Jiashu, et al.
Published: (2025)
by: Ye, Jiashu, et al.
Published: (2025)
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks
by: Mei, Taiyuan, et al.
Published: (2024)
by: Mei, Taiyuan, et al.
Published: (2024)
Automating construction contract review using knowledge graph-enhanced large language models
by: Zheng, Chunmo, et al.
Published: (2023)
by: Zheng, Chunmo, et al.
Published: (2023)
Intra-neuronal attention within language models Relationships between activation and semantics
by: Pichat, Michael, et al.
Published: (2025)
by: Pichat, Michael, et al.
Published: (2025)
BadEdit: Backdooring large language models by model editing
by: Li, Yanzhou, et al.
Published: (2024)
by: Li, Yanzhou, et al.
Published: (2024)
Supervised learning pays attention
by: Craig, Erin, et al.
Published: (2025)
by: Craig, Erin, et al.
Published: (2025)
Breast tumor classification based on self-supervised contrastive learning from ultrasound videos
by: Tang, Yunxin, et al.
Published: (2024)
by: Tang, Yunxin, et al.
Published: (2024)
EvoOpt-LLM: Evolving industrial optimization models with large language models
by: He, Yiliu, et al.
Published: (2026)
by: He, Yiliu, et al.
Published: (2026)
\(X\)-evolve: Solution space evolution powered by large language models
by: Zhai, Yi, et al.
Published: (2025)
by: Zhai, Yi, et al.
Published: (2025)
Epistemic diversity across language models mitigates knowledge collapse
by: Hodel, Damian, et al.
Published: (2025)
by: Hodel, Damian, et al.
Published: (2025)
Knowledge-aware contrastive heterogeneous molecular graph learning
by: Chen, Mukun, et al.
Published: (2025)
by: Chen, Mukun, et al.
Published: (2025)
Reinforcement learning fine-tuning of language model for instruction following and math reasoning
by: Han, Yifu, et al.
Published: (2025)
by: Han, Yifu, et al.
Published: (2025)
Recent advances in deep learning and language models for studying the microbiome
by: Yan, Binghao, et al.
Published: (2024)
by: Yan, Binghao, et al.
Published: (2024)
TechGPT-2.0: A large language model project to solve the task of knowledge graph construction
by: Wang, Jiaqi, et al.
Published: (2024)
by: Wang, Jiaqi, et al.
Published: (2024)
Dynamic feature selection in medical predictive monitoring by reinforcement learning
by: Chen, Yutong, et al.
Published: (2024)
by: Chen, Yutong, et al.
Published: (2024)
Towards Intelligent Geospatial Data Discovery: a knowledge graph-driven multi-agent framework powered by large language models
by: Liu, Ruixiang, et al.
Published: (2026)
by: Liu, Ruixiang, et al.
Published: (2026)
Beyond designer's knowledge: Generating materials design hypotheses via large language models
by: Liu, Quanliang, et al.
Published: (2024)
by: Liu, Quanliang, et al.
Published: (2024)
Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model
by: Yuan, Mingruo, et al.
Published: (2025)
by: Yuan, Mingruo, et al.
Published: (2025)
An end-to-end attention-based approach for learning on graphs
by: Buterez, David, et al.
Published: (2024)
by: Buterez, David, et al.
Published: (2024)
A large-scale evaluation of commonsense knowledge in humans and large language models
by: Nguyen, Tuan Dung, et al.
Published: (2025)
by: Nguyen, Tuan Dung, et al.
Published: (2025)
Large language models for spreading dynamics in complex systems
by: Jiang, Shuyu, et al.
Published: (2026)
by: Jiang, Shuyu, et al.
Published: (2026)
Incorporating simulated spatial context information improves the effectiveness of contrastive learning models
by: Zhu, Lizhen, et al.
Published: (2024)
by: Zhu, Lizhen, et al.
Published: (2024)
Pre-trained knowledge elevates large language models beyond traditional chemical reaction optimizers
by: MacKnight, Robert, et al.
Published: (2025)
by: MacKnight, Robert, et al.
Published: (2025)
ADMEDTAGGER: an annotation framework for distillation of expert knowledge for the Polish medical language
by: Górski, Franciszek, et al.
Published: (2025)
by: Górski, Franciszek, et al.
Published: (2025)
Agentic reinforcement learning empowers next-generation chemical language models for molecular design and synthesis
by: Li, Hao, et al.
Published: (2026)
by: Li, Hao, et al.
Published: (2026)
Toward a unified framework for data-efficient evaluation of large language models
by: Liao, Lele, et al.
Published: (2025)
by: Liao, Lele, et al.
Published: (2025)
Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process
by: Wang, Shanshan, et al.
Published: (2024)
by: Wang, Shanshan, et al.
Published: (2024)
Leveraging large language models for efficient representation learning for entity resolution
by: Xu, Xiaowei, et al.
Published: (2024)
by: Xu, Xiaowei, et al.
Published: (2024)
ARC-Encoder: learning compressed text representations for large language models
by: Pilchen, Hippolyte, et al.
Published: (2025)
by: Pilchen, Hippolyte, et al.
Published: (2025)
Large language models as oracles for instantiating ontologies with domain-specific knowledge
by: Ciatto, Giovanni, et al.
Published: (2024)
by: Ciatto, Giovanni, et al.
Published: (2024)
When simulations look right but causal effects go wrong: Large language models as behavioral simulators
by: Li, Zonghan, et al.
Published: (2026)
by: Li, Zonghan, et al.
Published: (2026)
Similar Items
-
Uncovering inequalities in new knowledge learning by large language models across different languages
by: Wang, Chenglong, et al.
Published: (2025) -
Infusing clinical knowledge into tokenisers for language models
by: Hasan, Abul, et al.
Published: (2024) -
Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning
by: Liu, Shengheng, et al.
Published: (2024) -
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
by: Forouzandeh, Saman, et al.
Published: (2025) -
Reproducible scaling laws for contrastive language-image learning
by: Cherti, Mehdi, et al.
Published: (2022)