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CoCA: Regaining Safety-awareness of Multimodal Large Language Models
  with Constitutional Calibration

CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration

17 September 2024
Jiahui Gao
Renjie Pi
Tianyang Han
Han Wu
Lanqing Hong
Lingpeng Kong
Xin Jiang
Zhenguo Li
ArXivPDFHTML

Papers citing "CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration"

26 / 26 papers shown
Title
VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization
VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization
Menglan Chen
Xianghe Pang
Jingjing Dong
Wenhao Wang
Yaxin Du
Siheng Chen
LRM
98
0
0
17 Apr 2025
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
Jingwei Yi
Yueqi Xie
Bin Zhu
Emre Kiciman
Guangzhong Sun
Xing Xie
Fangzhao Wu
AAML
95
77
0
28 Jan 2025
CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model
CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model
Dongyoung Go
Taesun Whang
Chanhee Lee
Hwayeon Kim
Sunghoon Park
Seunghwan Ji
Dongchan Kim
Young-Bum Kim
Young-Bum Kim
LRM
407
1
0
19 Nov 2024
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
Zhili Liu
Yunhao Gou
Kai Chen
Lanqing Hong
Jiahui Gao
...
Yu Zhang
Zhenguo Li
Xin Jiang
Qiang Liu
James T. Kwok
MoE
184
10
0
01 May 2024
AdaShield: Safeguarding Multimodal Large Language Models from
  Structure-based Attack via Adaptive Shield Prompting
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Yu Wang
Xiaogeng Liu
Yu-Feng Li
Muhao Chen
Chaowei Xiao
AAML
77
57
0
14 Mar 2024
MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance
MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance
Renjie Pi
Tianyang Han
Jianshu Zhang
Yueqi Xie
Rui Pan
Qing Lian
Hanze Dong
Jipeng Zhang
Tong Zhang
AAML
55
67
0
05 Jan 2024
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
Jiahui Gao
Renjie Pi
Jipeng Zhang
Jiacheng Ye
Wanjun Zhong
...
Lanqing Hong
Jianhua Han
Hang Xu
Zhenguo Li
Lingpeng Kong
SyDa
ReLM
LRM
84
111
0
18 Dec 2023
An Emulator for Fine-Tuning Large Language Models using Small Language
  Models
An Emulator for Fine-Tuning Large Language Models using Small Language Models
Eric Mitchell
Rafael Rafailov
Archit Sharma
Chelsea Finn
Christopher D. Manning
ALM
75
55
0
19 Oct 2023
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake
  Analysis
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
Kai Chen
Chunwei Wang
Kuo Yang
Jianhua Han
Lanqing Hong
...
Zhenguo Li
Dit-Yan Yeung
Lifeng Shang
Xin Jiang
Qun Liu
94
35
0
16 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Alexander Robey
Eric Wong
Hamed Hassani
George J. Pappas
AAML
106
247
0
05 Oct 2023
Improving Language Model Integration for Neural Machine Translation
Improving Language Model Integration for Neural Machine Translation
Christian Herold
Yingbo Gao
Mohammad Zeineldeen
Hermann Ney
47
2
0
08 Jun 2023
RRHF: Rank Responses to Align Language Models with Human Feedback
  without tears
RRHF: Rank Responses to Align Language Models with Human Feedback without tears
Zheng Yuan
Hongyi Yuan
Chuanqi Tan
Wei Wang
Songfang Huang
Feiran Huang
ALM
143
370
0
11 Apr 2023
Training Language Models with Language Feedback at Scale
Training Language Models with Language Feedback at Scale
Jérémy Scheurer
Jon Ander Campos
Tomasz Korbak
Jun Shern Chan
Angelica Chen
Kyunghyun Cho
Ethan Perez
ALM
73
106
0
28 Mar 2023
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard
  Security Attacks
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks
Daniel Kang
Xuechen Li
Ion Stoica
Carlos Guestrin
Matei A. Zaharia
Tatsunori Hashimoto
AAML
84
251
0
11 Feb 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
401
4,527
0
30 Jan 2023
Constitutional AI: Harmlessness from AI Feedback
Constitutional AI: Harmlessness from AI Feedback
Yuntao Bai
Saurav Kadavath
Sandipan Kundu
Amanda Askell
John Kernion
...
Dario Amodei
Nicholas Joseph
Sam McCandlish
Tom B. Brown
Jared Kaplan
SyDa
MoMe
171
1,611
0
15 Dec 2022
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop
:
Teven Le Scao
Angela Fan
Christopher Akiki
...
Zhongli Xie
Zifan Ye
M. Bras
Younes Belkada
Thomas Wolf
VLM
368
2,377
0
09 Nov 2022
Contrastive Decoding: Open-ended Text Generation as Optimization
Contrastive Decoding: Open-ended Text Generation as Optimization
Xiang Lisa Li
Ari Holtzman
Daniel Fried
Percy Liang
Jason Eisner
Tatsunori Hashimoto
Luke Zettlemoyer
M. Lewis
89
358
0
27 Oct 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILM
LRM
433
6,222
0
05 Apr 2022
Training Compute-Optimal Large Language Models
Training Compute-Optimal Large Language Models
Jordan Hoffmann
Sebastian Borgeaud
A. Mensch
Elena Buchatskaya
Trevor Cai
...
Karen Simonyan
Erich Elsen
Jack W. Rae
Oriol Vinyals
Laurent Sifre
AI4TS
180
1,941
0
29 Mar 2022
Recursively Summarizing Books with Human Feedback
Recursively Summarizing Books with Human Feedback
Jeff Wu
Long Ouyang
Daniel M. Ziegler
Nissan Stiennon
Ryan J. Lowe
Jan Leike
Paul Christiano
ALM
139
303
0
22 Sep 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
824
29,167
0
26 Feb 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
702
41,736
0
28 May 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
452
1,717
0
18 Sep 2019
Scalable agent alignment via reward modeling: a research direction
Scalable agent alignment via reward modeling: a research direction
Jan Leike
David M. Krueger
Tom Everitt
Miljan Martic
Vishal Maini
Shane Legg
86
413
0
19 Nov 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
446
18,931
0
20 Jul 2017
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