Poster "knowledge-intensive tasks" Papers

8 papers found

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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

Understanding Finetuning for Factual Knowledge Extraction

Gaurav Ghosal, Tatsunori Hashimoto, Aditi Raghunathan

ICML 2024arXiv:2406.14785
28
citations