ResearchTrend.AI
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks
v1v2 (latest)

Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks

Yifan Wang
Qingyan Guo
Xinzhe Ni
Chufan Shi
Lemao Liu
Haiyun Jiang
Yujiu Yang
ArXiv (abs)PDFHTML

Papers citing "Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks"

4 / 4 papers shown
Title
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling
Bingxuan Li
Yiwei Wang
Jiuxiang Gu
Kai-Wei Chang
Nanyun Peng
AI4CE
113
5
0
24 Feb 2025
SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization
SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization
Hongrui Jia
Chaoya Jiang
Haiyang Xu
Wei Ye
Mengfan Dong
Ming Yan
Ji Zhang
Fei Huang
Shikun Zhang
MLLM
149
3
0
17 Nov 2024
Unveiling the Generalization Power of Fine-Tuned Large Language Models
Unveiling the Generalization Power of Fine-Tuned Large Language Models
Haoran Yang
Yumeng Zhang
Jiaqi Xu
Hongyuan Lu
Pheng Ann Heng
Wai Lam
125
40
0
14 Mar 2024
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
Qingyan Guo
Rui Wang
Junliang Guo
Xu Tan
Jiang Bian
Yujiu Yang
LRM
100
7
0
01 Mar 2024

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.