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Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models

20 March 2025
Baolong Bi
Shenghua Liu
Y. Wang
Yilong Xu
Junfeng Fang
Lingrui Mei
Xueqi Cheng
    KELM
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Papers citing "Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models"

4 / 4 papers shown
Title
a1: Steep Test-time Scaling Law via Environment Augmented Generation
a1: Steep Test-time Scaling Law via Environment Augmented Generation
Lingrui Mei
Shenghua Liu
Yiwei Wang
Baolong Bi
Yuyao Ge
Jun Wan
Yurong Wu
Xueqi Cheng
LRM
17
0
0
20 Apr 2025
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
Yilong Xu
Jinhua Gao
Xiaoming Yu
Yuanhai Xue
Baolong Bi
Huawei Shen
Xueqi Cheng
RALM
47
0
0
01 Apr 2025
ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems
ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems
Chenxi Wang
Jizhan Fang
Xiang Chen
Bozhong Tian
Ziwen Xu
H. Chen
N. Zhang
KELM
90
0
0
26 Mar 2025
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking
Yuyao Ge
Shenghua Liu
Y. Wang
Lingrui Mei
Lizhe Chen
Baolong Bi
Xueqi Cheng
ReLM
LRM
47
2
0
25 Mar 2025
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