CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Runlong, Zhang, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment
by: Guo, Siyuan, et al.
Published: (2026)
by: Guo, Siyuan, et al.
Published: (2026)
Reflect-RL: Two-Player Online RL Fine-Tuning for LMs
by: Zhou, Runlong, et al.
Published: (2024)
by: Zhou, Runlong, et al.
Published: (2024)
The Crucial Role of Samplers in Online Direct Preference Optimization
by: Shi, Ruizhe, et al.
Published: (2024)
by: Shi, Ruizhe, et al.
Published: (2024)
Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine
by: Liu, Fenglin, et al.
Published: (2022)
by: Liu, Fenglin, et al.
Published: (2022)
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation
by: Ziegler, Ingo, et al.
Published: (2024)
by: Ziegler, Ingo, et al.
Published: (2024)
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
by: Shi, Yucheng, et al.
Published: (2024)
by: Shi, Yucheng, et al.
Published: (2024)
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions
by: Fang, Luyang, et al.
Published: (2025)
by: Fang, Luyang, et al.
Published: (2025)
Beyond Neural Incompatibility: Cross-Scale Knowledge Transfer in Language Models through Latent Semantic Alignment
by: Gu, Jian, et al.
Published: (2025)
by: Gu, Jian, et al.
Published: (2025)
Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO
by: Shi, Ruizhe, et al.
Published: (2025)
by: Shi, Ruizhe, et al.
Published: (2025)
Diagnosing Retrieval Bias Under Multiple In-Context Knowledge Updates in Large Language Models
by: Qiao, Boyu, et al.
Published: (2026)
by: Qiao, Boyu, et al.
Published: (2026)
Cut Your Losses in Large-Vocabulary Language Models
by: Wijmans, Erik, et al.
Published: (2024)
by: Wijmans, Erik, et al.
Published: (2024)
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models
by: Zhang, Fuxiang, et al.
Published: (2024)
by: Zhang, Fuxiang, et al.
Published: (2024)
How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence
by: Choi, Hyeong Kyu, et al.
Published: (2025)
by: Choi, Hyeong Kyu, et al.
Published: (2025)
Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
by: Huang, Yukun, et al.
Published: (2025)
by: Huang, Yukun, et al.
Published: (2025)
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
by: Li, Ziyue, et al.
Published: (2024)
by: Li, Ziyue, et al.
Published: (2024)
Bridge: A Unified Framework to Knowledge Graph Completion via Language Models and Knowledge Representation
by: Qiao, Qiao, et al.
Published: (2024)
by: Qiao, Qiao, et al.
Published: (2024)
Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets
by: Li, Dongyue, et al.
Published: (2025)
by: Li, Dongyue, et al.
Published: (2025)
Datasets for Fairness in Language Models: An In-Depth Survey
by: Zhang, Jiale, et al.
Published: (2025)
by: Zhang, Jiale, et al.
Published: (2025)
Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
by: Prahlad, Deeksha, et al.
Published: (2025)
by: Prahlad, Deeksha, et al.
Published: (2025)
Large Language Model Prompt Datasets: An In-depth Analysis and Insights
by: Zhang, Yuanming, et al.
Published: (2025)
by: Zhang, Yuanming, et al.
Published: (2025)
KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs
by: Zheng, Shangshang, et al.
Published: (2023)
by: Zheng, Shangshang, et al.
Published: (2023)
Recursive Abstractive Processing for Retrieval in Dynamic Datasets
by: Chucri, Charbel, et al.
Published: (2024)
by: Chucri, Charbel, et al.
Published: (2024)
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models
by: Rajaee, Sara, et al.
Published: (2024)
by: Rajaee, Sara, et al.
Published: (2024)
DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
by: Xiao, Yongkang, et al.
Published: (2025)
by: Xiao, Yongkang, et al.
Published: (2025)
Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models
by: Yu, Chuanyue, et al.
Published: (2026)
by: Yu, Chuanyue, et al.
Published: (2026)
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
Taming Knowledge Conflicts in Language Models
by: Li, Gaotang, et al.
Published: (2025)
by: Li, Gaotang, et al.
Published: (2025)
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
by: Shu, Dong, et al.
Published: (2024)
by: Shu, Dong, et al.
Published: (2024)
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models
by: Flemings, James, et al.
Published: (2024)
by: Flemings, James, et al.
Published: (2024)
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation
by: Maekawa, Aru, et al.
Published: (2024)
by: Maekawa, Aru, et al.
Published: (2024)
Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation
by: Xu, Zerui, et al.
Published: (2024)
by: Xu, Zerui, et al.
Published: (2024)
CBQ: Cross-Block Quantization for Large Language Models
by: Ding, Xin, et al.
Published: (2023)
by: Ding, Xin, et al.
Published: (2023)
MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding
by: Munikoti, Sai, et al.
Published: (2026)
by: Munikoti, Sai, et al.
Published: (2026)
Escaping the Mode Lottery: Multi-Response Training Improves Language Model Generalization
by: Amin, Hasan, et al.
Published: (2026)
by: Amin, Hasan, et al.
Published: (2026)
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
by: Chua, Lynn, et al.
Published: (2024)
by: Chua, Lynn, et al.
Published: (2024)
RedPajama: an Open Dataset for Training Large Language Models
by: Weber, Maurice, et al.
Published: (2024)
by: Weber, Maurice, et al.
Published: (2024)
Erasing Conceptual Knowledge from Language Models
by: Gandikota, Rohit, et al.
Published: (2024)
by: Gandikota, Rohit, et al.
Published: (2024)
MLKD-BERT: Multi-level Knowledge Distillation for Pre-trained Language Models
by: Zhang, Ying, et al.
Published: (2024)
by: Zhang, Ying, et al.
Published: (2024)
Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline
by: Lee, Tony, et al.
Published: (2026)
by: Lee, Tony, et al.
Published: (2026)
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
by: Qi, Jirui, et al.
Published: (2023)
by: Qi, Jirui, et al.
Published: (2023)
Similar Items
-
CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment
by: Guo, Siyuan, et al.
Published: (2026) -
Reflect-RL: Two-Player Online RL Fine-Tuning for LMs
by: Zhou, Runlong, et al.
Published: (2024) -
The Crucial Role of Samplers in Online Direct Preference Optimization
by: Shi, Ruizhe, et al.
Published: (2024) -
Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine
by: Liu, Fenglin, et al.
Published: (2022) -
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation
by: Ziegler, Ingo, et al.
Published: (2024)