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How Far Can Camels Go? Exploring the State of Instruction Tuning on Open
  Resources

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

7 June 2023
Yizhong Wang
Hamish Ivison
Pradeep Dasigi
Jack Hessel
Tushar Khot
Khyathi Raghavi Chandu
David Wadden
Kelsey MacMillan
Noah A. Smith
Iz Beltagy
Hannaneh Hajishirzi
    ALM
    ELM
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Papers citing "How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources"

50 / 298 papers shown
Title
SaulLM-7B: A pioneering Large Language Model for Law
SaulLM-7B: A pioneering Large Language Model for Law
Pierre Colombo
T. Pires
Malik Boudiaf
Dominic Culver
Rui Melo
...
Andre F. T. Martins
Fabrizio Esposito
Vera Lúcia Raposo
Sofia Morgado
Michael Desa
ELM
AILaw
54
66
0
06 Mar 2024
Learning to Decode Collaboratively with Multiple Language Models
Learning to Decode Collaboratively with Multiple Language Models
Zejiang Shen
Hunter Lang
Bailin Wang
Yoon Kim
David Sontag
54
29
0
06 Mar 2024
Reliable, Adaptable, and Attributable Language Models with Retrieval
Reliable, Adaptable, and Attributable Language Models with Retrieval
Akari Asai
Zexuan Zhong
Danqi Chen
Pang Wei Koh
Luke Zettlemoyer
Hanna Hajishirzi
Wen-tau Yih
KELM
RALM
49
55
0
05 Mar 2024
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Zhengyang Tang
Xingxing Zhang
Benyou Wang
Furu Wei
ALM
LRM
57
63
0
05 Mar 2024
Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs
Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs
Aly M. Kassem
Omar Mahmoud
Niloofar Mireshghallah
Hyunwoo J. Kim
Yulia Tsvetkov
Yejin Choi
Sherif Saad
Santu Rana
50
19
0
05 Mar 2024
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models
  for Generic Graph Mining
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining
Yanchao Tan
Hang Lv
Xin Huang
Jiawei Zhang
Shiping Wang
Carl Yang
47
11
0
02 Mar 2024
FAC$^2$E: Better Understanding Large Language Model Capabilities by
  Dissociating Language and Cognition
FAC2^22E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition
Xiaoqiang Wang
Bang Liu
Lingfei Wu
40
0
0
29 Feb 2024
RECOST: External Knowledge Guided Data-efficient Instruction Tuning
RECOST: External Knowledge Guided Data-efficient Instruction Tuning
Qi Zhang
Yiming Zhang
Haobo Wang
Junbo Zhao
60
11
0
27 Feb 2024
Asymmetry in Low-Rank Adapters of Foundation Models
Asymmetry in Low-Rank Adapters of Foundation Models
Jiacheng Zhu
Kristjan Greenewald
Kimia Nadjahi
Haitz Sáez de Ocáriz Borde
Rickard Brüel-Gabrielsson
Leshem Choshen
Marzyeh Ghassemi
Mikhail Yurochkin
Justin Solomon
46
28
0
26 Feb 2024
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
Liangxin Liu
Xuebo Liu
Derek F. Wong
Dongfang Li
Ziyi Wang
Baotian Hu
Min Zhang
55
17
0
26 Feb 2024
ChatMusician: Understanding and Generating Music Intrinsically with LLM
ChatMusician: Understanding and Generating Music Intrinsically with LLM
Ti-Fen Pan
Hanfeng Lin
Yi Wang
Zeyue Tian
Shangda Wu
...
Gus Xia
Roger Dannenberg
Wei Xue
Shiyin Kang
Yike Guo
101
36
0
25 Feb 2024
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
Xiangdi Meng
Damai Dai
Weiyao Luo
Zhe Yang
Shaoxiang Wu
Xiaochen Wang
Peiyi Wang
Qingxiu Dong
Liang Chen
Zhifang Sui
114
11
0
25 Feb 2024
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
Sheng Wang
Boyang Xue
Jiacheng Ye
Jiyue Jiang
Liheng Chen
Lingpeng Kong
Chuan Wu
35
14
0
24 Feb 2024
CriticBench: Evaluating Large Language Models as Critic
CriticBench: Evaluating Large Language Models as Critic
Tian Lan
Wenwei Zhang
Chen Xu
Heyan Huang
Dahua Lin
Kai-xiang Chen
Xian-Ling Mao
ELM
AI4MH
LRM
52
3
0
21 Feb 2024
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
Zhaorui Yang
Tianyu Pang
H. Feng
Han Wang
Wei Chen
Minfeng Zhu
Qian Liu
ALM
40
37
0
21 Feb 2024
Instruction-tuned Language Models are Better Knowledge Learners
Instruction-tuned Language Models are Better Knowledge Learners
Zhengbao Jiang
Zhiqing Sun
Weijia Shi
Pedro Rodriguez
Chunting Zhou
Graham Neubig
Xi Lin
Wen-tau Yih
Srinivasan Iyer
KELM
46
34
0
20 Feb 2024
LoRA+: Efficient Low Rank Adaptation of Large Models
LoRA+: Efficient Low Rank Adaptation of Large Models
Soufiane Hayou
Nikhil Ghosh
Bin Yu
AI4CE
46
149
0
19 Feb 2024
Multi-Task Inference: Can Large Language Models Follow Multiple
  Instructions at Once?
Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?
Guijin Son
Sangwon Baek
Sangdae Nam
Ilgyun Jeong
Seungone Kim
ELM
LRM
40
14
0
18 Feb 2024
Contrastive Instruction Tuning
Contrastive Instruction Tuning
Tianyi Yan
Fei Wang
James Y. Huang
Wenxuan Zhou
Fan Yin
Aram Galstyan
Wenpeng Yin
Muhao Chen
ALM
33
5
0
17 Feb 2024
Instruction Diversity Drives Generalization To Unseen Tasks
Instruction Diversity Drives Generalization To Unseen Tasks
Dylan Zhang
Justin Wang
Francois Charton
ALM
39
6
0
16 Feb 2024
Chain-of-Thought Reasoning Without Prompting
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang
Denny Zhou
ReLM
LRM
152
104
0
15 Feb 2024
OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large
  Language Models
OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models
Ali AhmadiTeshnizi
Wenzhi Gao
Madeleine Udell
LLMAG
18
22
0
15 Feb 2024
Both Matter: Enhancing the Emotional Intelligence of Large Language
  Models without Compromising the General Intelligence
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence
Weixiang Zhao
Zhuojun Li
Shilong Wang
Yang Wang
Yulin Hu
Yanyan Zhao
Chen Wei
Bing Qin
22
4
0
15 Feb 2024
DolphCoder: Echo-Locating Code Large Language Models with Diverse and
  Multi-Objective Instruction Tuning
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning
Yejie Wang
Keqing He
Guanting Dong
Pei Wang
Weihao Zeng
...
Yutao Mou
Mengdi Zhang
Jingang Wang
Xunliang Cai
Weiran Xu
ALM
30
10
0
14 Feb 2024
Aya Model: An Instruction Finetuned Open-Access Multilingual Language
  Model
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
Ahmet Üstün
Viraat Aryabumi
Zheng-Xin Yong
Wei-Yin Ko
Daniel D'souza
...
Shayne Longpre
Niklas Muennighoff
Marzieh Fadaee
Julia Kreutzer
Sara Hooker
ALM
ELM
SyDa
LRM
40
200
0
12 Feb 2024
ODIN: Disentangled Reward Mitigates Hacking in RLHF
ODIN: Disentangled Reward Mitigates Hacking in RLHF
Lichang Chen
Chen Zhu
Davit Soselia
Jiuhai Chen
Dinesh Manocha
Tom Goldstein
Heng-Chiao Huang
M. Shoeybi
Bryan Catanzaro
AAML
52
54
0
11 Feb 2024
OpenFedLLM: Training Large Language Models on Decentralized Private Data
  via Federated Learning
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
Rui Ye
Wenhao Wang
Jingyi Chai
Dihan Li
Zexi Li
Yinda Xu
Yaxin Du
Yanfeng Wang
Siheng Chen
ALM
FedML
AIFin
11
79
0
10 Feb 2024
Learn To be Efficient: Build Structured Sparsity in Large Language
  Models
Learn To be Efficient: Build Structured Sparsity in Large Language Models
Haizhong Zheng
Xiaoyan Bai
Xueshen Liu
Z. Morley Mao
Beidi Chen
Fan Lai
Atul Prakash
53
11
0
09 Feb 2024
Large Language Models: A Survey
Large Language Models: A Survey
Shervin Minaee
Tomas Mikolov
Narjes Nikzad
M. Asgari-Chenaghlu
R. Socher
Xavier Amatriain
Jianfeng Gao
ALM
LM&MA
ELM
134
377
0
09 Feb 2024
Rethinking Data Selection for Supervised Fine-Tuning
Rethinking Data Selection for Supervised Fine-Tuning
Ming Shen
34
17
0
08 Feb 2024
A Roadmap to Pluralistic Alignment
A Roadmap to Pluralistic Alignment
Taylor Sorensen
Jared Moore
Jillian R. Fisher
Mitchell L. Gordon
Niloofar Mireshghallah
...
Liwei Jiang
Ximing Lu
Nouha Dziri
Tim Althoff
Yejin Choi
70
82
0
07 Feb 2024
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for
  Instruction Fine-Tuning
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning
Hao Zhao
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
ALM
97
44
0
07 Feb 2024
LESS: Selecting Influential Data for Targeted Instruction Tuning
LESS: Selecting Influential Data for Targeted Instruction Tuning
Mengzhou Xia
Sadhika Malladi
Suchin Gururangan
Sanjeev Arora
Danqi Chen
91
195
0
06 Feb 2024
Personalized Language Modeling from Personalized Human Feedback
Personalized Language Modeling from Personalized Human Feedback
Xinyu Li
Zachary C. Lipton
Liu Leqi
ALM
73
48
0
06 Feb 2024
GIRT-Model: Automated Generation of Issue Report Templates
GIRT-Model: Automated Generation of Issue Report Templates
Nafiseh Nikeghbal
Amir Hossein Kargaran
Abbas Heydarnoori
28
3
0
04 Feb 2024
eXplainable Bayesian Multi-Perspective Generative Retrieval
eXplainable Bayesian Multi-Perspective Generative Retrieval
EuiYul Song
Philhoon Oh
Sangryul Kim
James Thorne
BDL
38
0
0
04 Feb 2024
Diversity Measurement and Subset Selection for Instruction Tuning
  Datasets
Diversity Measurement and Subset Selection for Instruction Tuning Datasets
Peiqi Wang
Songlin Yang
Zhen Guo
Matt Stallone
Yoon Kim
Polina Golland
Yikang Shen
31
9
0
04 Feb 2024
Rethinking the Role of Proxy Rewards in Language Model Alignment
Rethinking the Role of Proxy Rewards in Language Model Alignment
Sungdong Kim
Minjoon Seo
SyDa
ALM
31
0
0
02 Feb 2024
OLMo: Accelerating the Science of Language Models
OLMo: Accelerating the Science of Language Models
Dirk Groeneveld
Iz Beltagy
Pete Walsh
Akshita Bhagia
Rodney Michael Kinney
...
Jesse Dodge
Kyle Lo
Luca Soldaini
Noah A. Smith
Hanna Hajishirzi
OSLM
143
367
0
01 Feb 2024
LongAlign: A Recipe for Long Context Alignment of Large Language Models
LongAlign: A Recipe for Long Context Alignment of Large Language Models
Yushi Bai
Xin Lv
Jiajie Zhang
Yuze He
Ji Qi
Lei Hou
Jie Tang
Yuxiao Dong
Juanzi Li
ALM
42
46
0
31 Jan 2024
Propagation and Pitfalls: Reasoning-based Assessment of Knowledge
  Editing through Counterfactual Tasks
Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks
Wenyue Hua
Jiang Guo
Mingwen Dong
He Zhu
Patrick Ng
Zhiguo Wang
KELM
76
19
0
31 Jan 2024
RomanSetu: Efficiently unlocking multilingual capabilities of Large
  Language Models via Romanization
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization
Jaavid Aktar Husain
Raj Dabre
Aswanth Kumar
Jay Gala
Thanmay Jayakumar
Ratish Puduppully
Anoop Kunchukuttan
38
12
0
25 Jan 2024
Knowledge Fusion of Large Language Models
Knowledge Fusion of Large Language Models
Fanqi Wan
Xinting Huang
Deng Cai
Xiaojun Quan
Wei Bi
Shuming Shi
MoMe
42
63
0
19 Jan 2024
ChatQA: Surpassing GPT-4 on Conversational QA and RAG
ChatQA: Surpassing GPT-4 on Conversational QA and RAG
Zihan Liu
Ming-Yu Liu
Rajarshi Roy
Peng Xu
Chankyu Lee
M. Shoeybi
Bryan Catanzaro
ALM
RALM
AI4MH
20
41
0
18 Jan 2024
Tuning Language Models by Proxy
Tuning Language Models by Proxy
Alisa Liu
Xiaochuang Han
Yizhong Wang
Yulia Tsvetkov
Yejin Choi
Noah A. Smith
ALM
43
46
0
16 Jan 2024
Contrastive Perplexity for Controlled Generation: An Application in
  Detoxifying Large Language Models
Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models
T. Klein
Moin Nabi
26
1
0
16 Jan 2024
Question Translation Training for Better Multilingual Reasoning
Question Translation Training for Better Multilingual Reasoning
Wenhao Zhu
Shujian Huang
Fei Yuan
Shuaijie She
Jiajun Chen
Alexandra Birch
LRM
31
29
0
15 Jan 2024
Fine-grained Hallucination Detection and Editing for Language Models
Fine-grained Hallucination Detection and Editing for Language Models
Abhika Mishra
Akari Asai
Vidhisha Balachandran
Yizhong Wang
Graham Neubig
Yulia Tsvetkov
Hannaneh Hajishirzi
HILM
37
79
0
12 Jan 2024
An Experimental Design Framework for Label-Efficient Supervised
  Finetuning of Large Language Models
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
Gantavya Bhatt
Yifang Chen
Arnav M. Das
Jifan Zhang
Sang T. Truong
...
Jeff Bilmes
S. Du
Kevin G. Jamieson
Jordan T. Ash
Robert D. Nowak
51
14
0
12 Jan 2024
Investigating Data Contamination for Pre-training Language Models
Investigating Data Contamination for Pre-training Language Models
Minhao Jiang
Ken Ziyu Liu
Ming Zhong
Rylan Schaeffer
Siru Ouyang
Jiawei Han
Sanmi Koyejo
33
65
0
11 Jan 2024
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