ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.04751
  4. Cited By
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
ArXivPDFHTML

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

50 / 298 papers shown
Title
Data Advisor: Dynamic Data Curation for Safety Alignment of Large
  Language Models
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
Fei Wang
Ninareh Mehrabi
Palash Goyal
Rahul Gupta
Kai-Wei Chang
Aram Galstyan
ALM
48
2
0
07 Oct 2024
RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization
RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization
Hanyang Zhao
Genta Indra Winata
Anirban Das
Shi-Xiong Zhang
D. Yao
Wenpin Tang
Sambit Sahu
62
7
0
05 Oct 2024
Self-Powered LLM Modality Expansion for Large Speech-Text Models
Self-Powered LLM Modality Expansion for Large Speech-Text Models
Tengfei Yu
Xuebo Liu
Zhiyi Hou
Liang Ding
Dacheng Tao
Min Zhang
32
0
0
04 Oct 2024
Residual Policy Learning for Perceptive Quadruped Control Using
  Differentiable Simulation
Residual Policy Learning for Perceptive Quadruped Control Using Differentiable Simulation
Jing Yuan Luo
Yunlong Song
Victor Klemm
Fan Shi
Davide Scaramuzza
Marco Hutter
38
2
0
04 Oct 2024
InstaTrans: An Instruction-Aware Translation Framework for Non-English
  Instruction Datasets
InstaTrans: An Instruction-Aware Translation Framework for Non-English Instruction Datasets
Yungi Kim
Chanjun Park
31
0
0
02 Oct 2024
Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM
  Performance -- A Case Study in Finance
Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance -- A Case Study in Finance
Meni Brief
Oded Ovadia
Gil Shenderovitz
Noga Ben Yoash
Rachel Lemberg
Eitam Sheetrit
58
4
0
01 Oct 2024
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture
  of Shards
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards
Sheng Wang
Liheng Chen
Pengan Chen
Jingwei Dong
Boyang Xue
Jiyue Jiang
Lingpeng Kong
Chuan Wu
MoE
31
8
0
01 Oct 2024
Scalable Fine-tuning from Multiple Data Sources:A First-Order
  Approximation Approach
Scalable Fine-tuning from Multiple Data Sources:A First-Order Approximation Approach
Dongyue Li
Ziniu Zhang
Lu Wang
Hongyang R. Zhang
43
0
0
28 Sep 2024
BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and
  Adaptive Disambiguate based Efficient Tree Search
BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search
Linzhuang Sun
Hao Liang
Jingxuan Wei
Bihui Yu
Conghui He
Guosheng Dong
Wentao Zhang
29
5
0
26 Sep 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey
  on How to Make your LLMs use External Data More Wisely
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Siyun Zhao
Yuqing Yang
Zilong Wang
Zhiyuan He
Luna Qiu
Lili Qiu
SyDa
RALM
3DV
51
36
0
23 Sep 2024
Aligning Language Models Using Follow-up Likelihood as Reward Signal
Aligning Language Models Using Follow-up Likelihood as Reward Signal
Chen Zhang
Dading Chong
Feng Jiang
Chengguang Tang
Anningzhe Gao
Guohua Tang
Haizhou Li
ALM
33
2
0
20 Sep 2024
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
Huanxuan Liao
Shizhu He
Yao Xu
Yuanzhe Zhang
Kang Liu
Jun Zhao
LRM
56
3
0
20 Sep 2024
Exploring and Enhancing the Transfer of Distribution in Knowledge
  Distillation for Autoregressive Language Models
Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models
Jun Rao
Xuebo Liu
Zepeng Lin
Liang Ding
Jing Li
Dacheng Tao
Min Zhang
46
2
0
19 Sep 2024
Enhancing Logical Reasoning in Large Language Models through Graph-based
  Synthetic Data
Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data
Jiaming Zhou
Abbas Ghaddar
Ge Zhang
Liheng Ma
Yaochen Hu
Soumyasundar Pal
Mark J. Coates
Bin Wang
Yingxue Zhang
Jianye Hao
ReLM
LRM
44
4
0
19 Sep 2024
Diversify and Conquer: Diversity-Centric Data Selection with Iterative
  Refinement
Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement
Simon Yu
Liangyu Chen
Sara Ahmadian
Marzieh Fadaee
43
7
0
17 Sep 2024
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using
  LLMs
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs
Madhusudan Ghosh
Shrimon Mukherjee
Asmit Ganguly
Partha Basuchowdhuri
S. Naskar
Debasis Ganguly
38
7
0
15 Sep 2024
Better Python Programming for all: With the focus on Maintainability
Better Python Programming for all: With the focus on Maintainability
Karthik Shivashankar
Antonio Martini
KELM
41
0
0
17 Aug 2024
ProFuser: Progressive Fusion of Large Language Models
ProFuser: Progressive Fusion of Large Language Models
Tianyuan Shi
Fanqi Wan
Canbin Huang
Xiaojun Quan
Chenliang Li
Ming Yan
Ji Zhang
MoMe
36
2
0
09 Aug 2024
Better Alignment with Instruction Back-and-Forth Translation
Better Alignment with Instruction Back-and-Forth Translation
Thao Nguyen
Jeffrey Li
Sewoong Oh
Ludwig Schmidt
Jason Weston
Luke Zettlemoyer
Xian Li
SyDa
38
6
0
08 Aug 2024
FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs
  Only
FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only
He Zhu
Junyou Su
Tianle Lun
Yicheng Tao
Wenjia Zhang
Zipei Fan
Guanhua Chen
ALM
37
3
0
02 Aug 2024
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal
  Domain
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
Pierre Colombo
T. Pires
Malik Boudiaf
Rui Melo
Dominic Culver
Sofia Morgado
Etienne Malaboeuf
Gabriel Hautreux
Johanne Charpentier
Michael Desa
ELM
AILaw
ALM
52
12
0
28 Jul 2024
Self-Directed Synthetic Dialogues and Revisions Technical Report
Self-Directed Synthetic Dialogues and Revisions Technical Report
Nathan Lambert
Hailey Schoelkopf
Aaron Gokaslan
Luca Soldaini
Valentina Pyatkin
Louis Castricato
SyDa
50
3
0
25 Jul 2024
Scaling Granite Code Models to 128K Context
Scaling Granite Code Models to 128K Context
Matt Stallone
Vaibhav Saxena
Leonid Karlinsky
Bridget McGinn
Tim Bula
...
Rogerio Feris
Nirmit Desai
David D. Cox
Ruchir Puri
Yikang Shen
45
4
0
18 Jul 2024
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data
Yufan Shen
Chuwei Luo
Zhaoqing Zhu
Yang Chen
Qi Zheng
Zhi Yu
Jiajun Bu
Cong Yao
53
2
0
17 Jul 2024
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning
  and Format Alignment
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
Jinhao Jiang
Junyi Li
Wayne Xin Zhao
Yang Song
Tao Zhang
Ji-Rong Wen
CLL
41
3
0
15 Jul 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&Ro
KELM
55
6
0
11 Jul 2024
Entropy Law: The Story Behind Data Compression and LLM Performance
Entropy Law: The Story Behind Data Compression and LLM Performance
Mingjia Yin
Chuhan Wu
Yufei Wang
Hao Wang
Wei Guo
Yasheng Wang
Yong Liu
Ruiming Tang
Defu Lian
Enhong Chen
42
19
0
09 Jul 2024
LLMBox: A Comprehensive Library for Large Language Models
LLMBox: A Comprehensive Library for Large Language Models
Tianyi Tang
Yiwen Hu
Bingqian Li
Wenyang Luo
Zijing Qin
...
Chunxuan Xia
Junyi Li
Kun Zhou
Wayne Xin Zhao
Ji-Rong Wen
56
1
0
08 Jul 2024
On Speeding Up Language Model Evaluation
On Speeding Up Language Model Evaluation
Jin Peng Zhou
Christian K. Belardi
Ruihan Wu
Travis Zhang
Carla P. Gomes
Wen Sun
Kilian Q. Weinberger
58
1
0
08 Jul 2024
Large Language Model as an Assignment Evaluator: Insights, Feedback, and
  Challenges in a 1000+ Student Course
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course
Cheng-Han Chiang
Wei-Chih Chen
Chun-Yi Kuan
Chienchou Yang
Hung-yi Lee
ELM
AI4Ed
49
5
0
07 Jul 2024
Orchestrating LLMs with Different Personalizations
Orchestrating LLMs with Different Personalizations
Jin Peng Zhou
Katie Z Luo
Jingwen Gu
Jason Yuan
Kilian Q. Weinberger
Wen Sun
57
2
0
04 Jul 2024
Breaking Bias, Building Bridges: Evaluation and Mitigation of Social
  Biases in LLMs via Contact Hypothesis
Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis
Chahat Raj
A. Mukherjee
Aylin Caliskan
Antonios Anastasopoulos
Ziwei Zhu
38
9
0
02 Jul 2024
The Art of Saying No: Contextual Noncompliance in Language Models
The Art of Saying No: Contextual Noncompliance in Language Models
Faeze Brahman
Sachin Kumar
Vidhisha Balachandran
Pradeep Dasigi
Valentina Pyatkin
...
Jack Hessel
Yulia Tsvetkov
Noah A. Smith
Yejin Choi
Hannaneh Hajishirzi
75
21
0
02 Jul 2024
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large
  Language Models
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
Zheng Lin
Xuanjie Hu
Yuxin Zhang
Zhe Chen
Zihan Fang
Xianhao Chen
Ang Li
Praneeth Vepakomma
Yue Gao
54
32
0
01 Jul 2024
LLMs-as-Instructors: Learning from Errors Toward Automating Model
  Improvement
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement
Jiahao Ying
Mingbao Lin
Yixin Cao
Wei Tang
Bo Wang
Qianru Sun
Xuanjing Huang
Shuicheng Yan
LRM
38
8
0
29 Jun 2024
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models
Peiqin Lin
André F. T. Martins
Hinrich Schütze
64
2
0
29 Jun 2024
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
Rui Pan
Jipeng Zhang
Xingyuan Pan
Renjie Pi
Xiaoyu Wang
Tong Zhang
58
5
0
28 Jun 2024
Suri: Multi-constraint Instruction Following for Long-form Text
  Generation
Suri: Multi-constraint Instruction Following for Long-form Text Generation
Chau Minh Pham
Simeng Sun
Mohit Iyyer
ALM
LRM
53
15
0
27 Jun 2024
Decoding-Time Language Model Alignment with Multiple Objectives
Decoding-Time Language Model Alignment with Multiple Objectives
Ruizhe Shi
Yifang Chen
Yushi Hu
Alisa Liu
Hannaneh Hajishirzi
Noah A. Smith
Simon Du
51
31
0
27 Jun 2024
Hierarchical Context Pruning: Optimizing Real-World Code Completion with
  Repository-Level Pretrained Code LLMs
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
Lei Zhang
Yunshui Li
Jiaming Li
Xiaobo Xia
Jiaxi Yang
Run Luo
Minzheng Wang
Longze Chen
Junhao Liu
Min Yang
40
2
0
26 Jun 2024
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse
  Gradients
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients
Aashiq Muhamed
Oscar Li
David Woodruff
Mona Diab
Virginia Smith
61
8
0
25 Jun 2024
Brittle Minds, Fixable Activations: Understanding Belief Representations in Language Models
Brittle Minds, Fixable Activations: Understanding Belief Representations in Language Models
Matteo Bortoletto
Constantin Ruhdorfer
Lei Shi
Andreas Bulling
AI4MH
LRM
48
4
0
25 Jun 2024
Found in the Middle: Calibrating Positional Attention Bias Improves Long
  Context Utilization
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization
Cheng-Yu Hsieh
Yung-Sung Chuang
Chun-Liang Li
Zifeng Wang
Long T. Le
...
James R. Glass
Alexander Ratner
Chen-Yu Lee
Ranjay Krishna
Tomas Pfister
53
33
0
23 Jun 2024
Finding Safety Neurons in Large Language Models
Finding Safety Neurons in Large Language Models
Jianhui Chen
Xiaozhi Wang
Zijun Yao
Yushi Bai
Lei Hou
Juanzi Li
KELM
LLMSV
48
15
0
20 Jun 2024
Persuasiveness of Generated Free-Text Rationales in Subjective
  Decisions: A Case Study on Pairwise Argument Ranking
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking
Mohamed S. Elaraby
Diane Litman
Xiang Lorraine Li
Ahmed Magooda
LRM
40
2
0
20 Jun 2024
Learn Beyond The Answer: Training Language Models with Reflection for
  Mathematical Reasoning
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Zhihan Zhang
Zhenwen Liang
Wenhao Yu
Dian Yu
Mengzhao Jia
Dong Yu
Meng Jiang
AIMat
RALM
LRM
ReLM
43
14
0
17 Jun 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context
  Alignment
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
Heyan Huang
Yinghao Li
Huashan Sun
Yu Bai
Yang Gao
52
3
0
17 Jun 2024
$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with
  Sparse Mixture-of-Experts
MoE-RBench\texttt{MoE-RBench}MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
Guanjie Chen
Xinyu Zhao
Tianlong Chen
Yu Cheng
MoE
83
5
0
17 Jun 2024
Emerging Safety Attack and Defense in Federated Instruction Tuning of
  Large Language Models
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Rui Ye
Jingyi Chai
Xiangrui Liu
Yaodong Yang
Yanfeng Wang
Siheng Chen
AAML
60
8
0
15 Jun 2024
GenQA: Generating Millions of Instructions from a Handful of Prompts
GenQA: Generating Millions of Instructions from a Handful of Prompts
Jiuhai Chen
Rifaa Qadri
Yuxin Wen
Neel Jain
John Kirchenbauer
Dinesh Manocha
Tom Goldstein
ALM
51
16
0
14 Jun 2024
Previous
123456
Next