"knowledge-intensive tasks" Papers
10 papers found
Conference
Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation
Wenbin An, Jiahao Nie, Feng Tian et al.
NEURIPS 2025oral
Chain-of-Retrieval Augmented Generation
Liang Wang, Haonan Chen, Nan Yang et al.
NEURIPS 2025arXiv:2501.14342
28
citations
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
Jiashuo Sun, Xianrui Zhong, Sizhe Zhou et al.
NEURIPS 2025arXiv:2505.07233
6
citations
EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
Dongyang Zeng, Yaping Liu, Wei Zhang et al.
NEURIPS 2025
Inference Scaling for Long-Context Retrieval Augmented Generation
Zhenrui Yue, Honglei Zhuang, Aijun Bai et al.
ICLR 2025arXiv:2410.04343
54
citations
Mixture of Parrots: Experts improve memorization more than reasoning
Samy Jelassi, Clara Mohri, David Brandfonbrener et al.
ICLR 2025arXiv:2410.19034
14
citations
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Yilun Zhao, Lujing Xie, Haowei Zhang et al.
CVPR 2025arXiv:2501.12380
78
citations
RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
Jiarui Zhang, Xiangyu Liu, Yong Hu et al.
NEURIPS 2025arXiv:2505.23052
4
citations
Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding
Hanyin Wang, Zhenbang Wu, Gururaj Kolar et al.
NEURIPS 2025spotlightarXiv:2505.21908
5
citations
Understanding Finetuning for Factual Knowledge Extraction
Gaurav Ghosal, Tatsunori Hashimoto, Aditi Raghunathan
ICML 2024arXiv:2406.14785
28
citations