ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.04799
  4. Cited By
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following
  and Model Alignment in New Languages
v1v2v3 (latest)

Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages

Annual Meeting of the Association for Computational Linguistics (ACL), 2023
7 October 2023
Shih-Cheng Huang
Pin-Zu Li
Yu-Chi Hsu
Kuang-Ming Chen
Yu Tung Lin
Shih-Kai Hsiao
Richard Tzong-Han Tsai
Hung-yi Lee
    MoMe
ArXiv (abs)PDFHTMLGithub (50★)

Papers citing "Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages"

16 / 16 papers shown
Title
Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
Kentaro Ueda
François Portet
H. Suwa
Keiichi Yasumoto
CLLMoMe
368
0
0
04 Nov 2025
Democratizing LLM Efficiency: From Hyperscale Optimizations to Universal Deployability
Democratizing LLM Efficiency: From Hyperscale Optimizations to Universal Deployability
Hen-Hsen Huang
80
0
0
03 Nov 2025
Personality Vector: Modulating Personality of Large Language Models by Model Merging
Personality Vector: Modulating Personality of Large Language Models by Model Merging
Seungjong Sun
Seo Yeon Baek
Jang Hyun Kim
MoMe
109
2
0
24 Sep 2025
A Survey on Training-free Alignment of Large Language Models
A Survey on Training-free Alignment of Large Language Models
Birong Pan
Yongqi Li
Jiasheng Si
Sibo Wei
Mayi Xu
Shen Zhou
Yuanyuan Zhu
Ming Zhong
T. Qian
3DVLM&MA
371
0
0
12 Aug 2025
Enhancing Japanese Large Language Models with Reasoning Vectors
Enhancing Japanese Large Language Models with Reasoning Vectors
Carolina Minami Oguchi
Leo Wei
Koyo Kobayashi
Hsin-Tai Wu
Dipak Ghosal
LRM
127
0
0
04 Aug 2025
DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
Kotaro Yoshida
Yuji Naraki
Takafumi Horie
Ryotaro Shimizu
Hiroki Naganuma
MoMeVLM
168
0
0
02 Aug 2025
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Naibin Gu
Peng Fu
Xiyu Liu
Ke Ma
Zheng Lin
Weiping Wang
166
3
0
07 Jun 2025
Shadow-FT: Tuning Instruct Model via Training on Paired Base Model
Shadow-FT: Tuning Instruct Model via Training on Paired Base Model
Taiqiang Wu
Runming Yang
Jiayi Li
Pengfei Hu
Ngai Wong
Ngai Wong
Yujiu Yang
667
1
0
19 May 2025
Efficient Model Development through Fine-tuning Transfer
Efficient Model Development through Fine-tuning Transfer
Pin-Jie Lin
Rishab Balasubramanian
Fengyuan Liu
Nikhil Kandpal
Tu Vu
440
3
0
25 Mar 2025
Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy
Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing PrivacyAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Zhenyuan Guo
Yi Shi
Wenlong Meng
Chen Gong
Chengkun Wei
Wenzhi Chen
MoMe
227
3
0
17 Feb 2025
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction TuningInternational Conference on Learning Representations (ICLR), 2025
Gangwei Jiang
Caigao Jiang
Zhaoyi Li
Siqiao Xue
Jun-ping Zhou
Linqi Song
Defu Lian
Yin Wei
CLLMU
411
7
0
16 Feb 2025
Improving Instruction-Following in Language Models through Activation Steering
Improving Instruction-Following in Language Models through Activation SteeringInternational Conference on Learning Representations (ICLR), 2024
Alessandro Stolfo
Vidhisha Balachandran
Safoora Yousefi
Eric Horvitz
Besmira Nushi
LLMSV
426
58
0
15 Oct 2024
Fingerprint Vector: Enabling Scalable and Efficient Model Fingerprint Transfer via Vector Addition
Fingerprint Vector: Enabling Scalable and Efficient Model Fingerprint Transfer via Vector Addition
Zhenhua Xu
Wenpeng Xing
Zhebo Wang
Wenpeng Xing
Chen Jie
Mohan Li
Meng Han
292
2
0
13 Sep 2024
Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing
Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing
Huanqian Wang
Yang Yue
Rui Lu
Jingxin Shi
Andrew Zhao
Shenzhi Wang
Shiji Song
Gao Huang
LM&RoKELM
384
16
0
11 Jul 2024
DogeRM: Equipping Reward Models with Domain Knowledge through Model
  Merging
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
Tzu-Han Lin
Chen-An Li
Hung-yi Lee
Yun-Nung Chen
VLMALM
123
6
0
01 Jul 2024
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuningIEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2023
Yun Luo
Zhen Yang
Fandong Meng
Yafu Li
Jie Zhou
Yue Zhang
CLLKELM
717
488
0
17 Aug 2023
1