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LIMA: Less Is More for Alignment

LIMA: Less Is More for Alignment

18 May 2023
Chunting Zhou
Pengfei Liu
Puxin Xu
Srini Iyer
Jiao Sun
Yuning Mao
Xuezhe Ma
Avia Efrat
Ping Yu
L. Yu
Susan Zhang
Gargi Ghosh
M. Lewis
Luke Zettlemoyer
Omer Levy
    ALM
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Papers citing "LIMA: Less Is More for Alignment"

20 / 70 papers shown
Title
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition
Yuming Yang
Wantong Zhao
Caishuang Huang
Junjie Ye
Xiao Wang
...
Kaixin Huang
Yunke Zhang
Tao Gui
Qi Zhang
Xuanjing Huang
108
4
0
17 Jun 2024
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
Shengkang Wang
Hongzhan Lin
Ziyang Luo
Zhen Ye
Guang Chen
Jing Ma
88
3
0
17 Jun 2024
Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning
Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning
Wenjun Li
Changyu Chen
Pradeep Varakantham
144
2
0
15 Jun 2024
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
Xiaoying Zhang
Baolin Peng
Ye Tian
Jingyan Zhou
Yipeng Zhang
Haitao Mi
Helen Meng
CLL
KELM
105
6
0
10 Jun 2024
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
Seungone Kim
Juyoung Suk
Ji Yong Cho
Shayne Longpre
Chaeeun Kim
...
Sean Welleck
Graham Neubig
Moontae Lee
Kyungjae Lee
Minjoon Seo
ELM
ALM
LM&MA
148
41
0
09 Jun 2024
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Hao Zhao
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
82
14
0
30 May 2024
Hallucination of Multimodal Large Language Models: A Survey
Hallucination of Multimodal Large Language Models: A Survey
Zechen Bai
Pichao Wang
Tianjun Xiao
Tong He
Zongbo Han
Zheng Zhang
Mike Zheng Shou
VLM
LRM
143
175
0
29 Apr 2024
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
146
55
0
23 Apr 2024
High-Dimension Human Value Representation in Large Language Models
High-Dimension Human Value Representation in Large Language Models
Samuel Cahyawijaya
Delong Chen
Yejin Bang
Leila Khalatbari
Bryan Wilie
Ziwei Ji
Etsuko Ishii
Pascale Fung
143
6
0
11 Apr 2024
Citation-Enhanced Generation for LLM-based Chatbots
Citation-Enhanced Generation for LLM-based Chatbots
Weitao Li
Junkai Li
Weizhi Ma
Yang Liu
104
18
0
25 Feb 2024
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
Hongzhan Lin
Ziyang Luo
Bo Wang
Ruichao Yang
Jing Ma
76
30
0
03 Jan 2024
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
Chang Gao
Wenxuan Zhang
Guizhen Chen
Wai Lam
99
6
0
04 Oct 2023
Principle-Driven Self-Alignment of Language Models from Scratch with
  Minimal Human Supervision
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Zhiqing Sun
Songlin Yang
Qinhong Zhou
Hongxin Zhang
Zhenfang Chen
David D. Cox
Yiming Yang
Chuang Gan
SyDa
ALM
70
330
0
04 May 2023
Unnatural Instructions: Tuning Language Models with (Almost) No Human
  Labor
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
Or Honovich
Thomas Scialom
Omer Levy
Timo Schick
ALM
98
372
0
19 Dec 2022
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
164
1,603
0
15 Dec 2022
Scaling Instruction-Finetuned Language Models
Scaling Instruction-Finetuned Language Models
Hyung Won Chung
Le Hou
Shayne Longpre
Barret Zoph
Yi Tay
...
Jacob Devlin
Adam Roberts
Denny Zhou
Quoc V. Le
Jason W. Wei
ReLM
LRM
160
3,110
0
20 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
404
6,202
0
05 Apr 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
681
9,267
0
28 Jan 2022
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
104
3,723
0
03 Sep 2021
The Turking Test: Can Language Models Understand Instructions?
The Turking Test: Can Language Models Understand Instructions?
Avia Efrat
Omer Levy
ELM
LRM
105
96
0
22 Oct 2020
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