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. 2308.12950
  4. Cited By
Code Llama: Open Foundation Models for Code

Code Llama: Open Foundation Models for Code

24 August 2023
Baptiste Rozière
Jonas Gehring
Fabian Gloeckle
Sten Sootla
Itai Gat
Xiaoqing Ellen Tan
Yossi Adi
Jingyu Liu
Romain Sauvestre
Tal Remez
Jérémy Rapin
Artyom Kozhevnikov
Ivan Evtimov
Joanna Bitton
Manish P Bhatt
Cristian Canton Ferrer
Aaron Grattafiori
Wenhan Xiong
Alexandre Défossez
Jade Copet
Faisal Azhar
Hugo Touvron
Louis Martin
Nicolas Usunier
Thomas Scialom
Gabriel Synnaeve
    ELM
    ALM
ArXivPDFHTML

Papers citing "Code Llama: Open Foundation Models for Code"

50 / 216 papers shown
Title
Learning Beyond Pattern Matching? Assaying Mathematical Understanding in
  LLMs
Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs
Siyuan Guo
Aniket Didolkar
Nan Rosemary Ke
Anirudh Goyal
Ferenc Huszár
Bernhard Schölkopf
37
3
0
24 May 2024
A Misleading Gallery of Fluid Motion by Generative Artificial
  Intelligence
A Misleading Gallery of Fluid Motion by Generative Artificial Intelligence
Ali Kashefi
VGen
40
5
0
24 May 2024
Large Language Models Meet NLP: A Survey
Large Language Models Meet NLP: A Survey
Libo Qin
Qiguang Chen
Xiachong Feng
Yang Wu
Yongheng Zhang
Yinghui Li
Min Li
Wanxiang Che
Philip S. Yu
ALM
LM&MA
ELM
LRM
38
44
0
21 May 2024
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language
  Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL
  System on EHRs
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs
Yongrae Jo
Seongyun Lee
Minju Seo
Sung Ju Hwang
Moontae Lee
24
3
0
18 May 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Towards Modular LLMs by Building and Reusing a Library of LoRAs
O. Ostapenko
Zhan Su
E. Ponti
Laurent Charlin
Nicolas Le Roux
Matheus Pereira
Lucas Page-Caccia
Alessandro Sordoni
MoMe
27
30
0
18 May 2024
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Chameleon Team
MLLM
53
249
0
16 May 2024
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and
  Composition of Experts
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts
R. Prabhakar
R. Sivaramakrishnan
Darshan Gandhi
Yun Du
Mingran Wang
...
Urmish Thakker
Dawei Huang
Sumti Jairath
Kevin J. Brown
K. Olukotun
MoE
36
12
0
13 May 2024
Truthful Aggregation of LLMs with an Application to Online Advertising
Truthful Aggregation of LLMs with an Application to Online Advertising
Ermis Soumalias
Michael J. Curry
Sven Seuken
31
11
0
09 May 2024
When LLMs Meet Cybersecurity: A Systematic Literature Review
When LLMs Meet Cybersecurity: A Systematic Literature Review
Jie Zhang
Haoyu Bu
Hui Wen
Yu Chen
Lun Li
Hongsong Zhu
24
36
0
06 May 2024
A Survey on Self-Evolution of Large Language Models
A Survey on Self-Evolution of Large Language Models
Zhengwei Tao
Ting-En Lin
Xiancai Chen
Hangyu Li
Yuchuan Wu
Yongbin Li
Zhi Jin
Fei Huang
Dacheng Tao
Jingren Zhou
LRM
LM&Ro
43
21
0
22 Apr 2024
MMInA: Benchmarking Multihop Multimodal Internet Agents
MMInA: Benchmarking Multihop Multimodal Internet Agents
Ziniu Zhang
Shulin Tian
Liangyu Chen
Ziwei Liu
LLMAG
LM&Ro
27
13
0
15 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Jiayang Song
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
35
6
0
12 Apr 2024
Self-Training Large Language Models for Improved Visual Program
  Synthesis With Visual Reinforcement
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement
Zaid Khan
B. Vijaykumar
S. Schulter
Yun Fu
Manmohan Chandraker
LRM
ReLM
18
6
0
06 Apr 2024
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical
  Reasoning in Large Language Models
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
Hyeonwoo Kim
Gyoungjin Gim
Yungi Kim
Jihoo Kim
Byungju Kim
Wonseok Lee
Chanjun Park
ReLM
LRM
27
1
0
05 Apr 2024
CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models
CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models
Xuechen Liang
Meiling Tao
Yinghui Xia
Yiting Xie
Jun Wang
JingSong Yang
LLMAG
16
12
0
02 Apr 2024
PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware
  Layout Generation
PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation
Jaejung Seol
Seojun Kim
Jaejun Yoo
3DV
VLM
19
6
0
01 Apr 2024
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation
Fang Liu
Yang Liu
Lin Shi
Houkun Huang
Ruifeng Wang
Zhen Yang
Li Zhang
Zhongqi Li
Yuchi Ma
41
103
0
01 Apr 2024
Instruction-Driven Game Engines on Large Language Models
Instruction-Driven Game Engines on Large Language Models
Hongqiu Wu
Xing-Chen Liu
Haizhen Zhao
Min Zhang
32
1
0
30 Mar 2024
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
Xiaokang Zhang
Jing Zhang
Zeyao Ma
Yang Li
Bohan Zhang
...
D. Li
Shu Zhao
Juan-Zi Li
Jie Tang
J. Tang
LMTD
RALM
44
20
0
28 Mar 2024
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs
Guoqiang Chen
Xiuwei Shang
Shaoyin Cheng
Yanming Zhang
Weiming Zhang
Neng H. Yu
N. Yu
86
2
0
27 Mar 2024
Arcee's MergeKit: A Toolkit for Merging Large Language Models
Arcee's MergeKit: A Toolkit for Merging Large Language Models
Charles Goddard
Shamane Siriwardhana
Malikeh Ehghaghi
Luke Meyers
Vladimir Karpukhin
Brian Benedict
Mark McQuade
Jacob Solawetz
MoMe
KELM
68
75
0
20 Mar 2024
Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model
  with Proxy
Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy
Yu Zhu
Chuxiong Sun
Wenfei Yang
Wenqiang Wei
Bo Tang
...
Zhiyu Li
Shifeng Zhang
Feiyu Xiong
Jie Hu
Mingchuan Yang
23
3
0
07 Mar 2024
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
39
63
0
06 Mar 2024
ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context
ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context
Zirui Wu
Yansong Feng
LMTD
ReLM
LRM
46
7
0
04 Mar 2024
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code
  Large Language Models
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models
Xianzhen Luo
Qingfu Zhu
Zhiming Zhang
Xu Wang
Qing Yang
Dongliang Xu
Wanxiang Che
ALM
19
2
0
01 Mar 2024
Improving Socratic Question Generation using Data Augmentation and
  Preference Optimization
Improving Socratic Question Generation using Data Augmentation and Preference Optimization
Nischal Ashok Kumar
Andrew S. Lan
24
8
0
01 Mar 2024
Loose LIPS Sink Ships: Asking Questions in Battleship with
  Language-Informed Program Sampling
Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling
Gabriel Grand
Valerio Pepe
Jacob Andreas
Joshua B. Tenenbaum
ReLM
21
6
0
29 Feb 2024
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Akila Wickramasekara
F. Breitinger
Mark Scanlon
42
7
0
29 Feb 2024
GPTVQ: The Blessing of Dimensionality for LLM Quantization
GPTVQ: The Blessing of Dimensionality for LLM Quantization
M. V. Baalen
Andrey Kuzmin
Markus Nagel
Peter Couperus
Cédric Bastoul
E. Mahurin
Tijmen Blankevoort
Paul N. Whatmough
MQ
24
28
0
23 Feb 2024
Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced
  Safety Alignment
Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
Jiong Wang
Jiazhao Li
Yiquan Li
Xiangyu Qi
Junjie Hu
Yixuan Li
P. McDaniel
Muhao Chen
Bo Li
Chaowei Xiao
AAML
SILM
32
16
0
22 Feb 2024
Balanced Data Sampling for Language Model Training with Clustering
Balanced Data Sampling for Language Model Training with Clustering
Yunfan Shao
Linyang Li
Zhaoye Fei
Hang Yan
Dahua Lin
Xipeng Qiu
24
8
0
22 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
29
33
0
21 Feb 2024
Large Language Models: A Survey
Large Language Models: A Survey
Shervin Minaee
Tomáš Mikolov
Narjes Nikzad
M. Asgari-Chenaghlu
R. Socher
Xavier Amatriain
Jianfeng Gao
ALM
LM&MA
ELM
112
347
0
09 Feb 2024
Training Large Language Models for Reasoning through Reverse Curriculum
  Reinforcement Learning
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
Zhiheng Xi
Wenxiang Chen
Boyang Hong
Senjie Jin
Rui Zheng
...
Xinbo Zhang
Peng Sun
Tao Gui
Qi Zhang
Xuanjing Huang
LRM
27
20
0
08 Feb 2024
Text-to-Code Generation with Modality-relative Pre-training
Text-to-Code Generation with Modality-relative Pre-training
Fenia Christopoulou
Guchun Zhang
Gerasimos Lampouras
AI4TS
11
1
0
08 Feb 2024
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
Yuqiang Sun
Daoyuan Wu
Yue Xue
Han Liu
Wei Ma
Lyuye Zhang
Miaolei Shi
Yingjiu Li
ELM
76
46
0
29 Jan 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
20
20
0
30 Dec 2023
LLM-SAP: Large Language Models Situational Awareness Based Planning
LLM-SAP: Large Language Models Situational Awareness Based Planning
Liman Wang
Hanyang Zhong
LLMAG
20
2
0
26 Dec 2023
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on
  Software Engineering Tasks
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks
Wentao Zou
Qi Li
Jidong Ge
Chuanyi Li
Xiaoyu Shen
LiGuo Huang
Bin Luo
21
5
0
25 Dec 2023
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
Bing Wang
Changyu Ren
Jian Yang
Xinnian Liang
Jiaqi Bai
...
Zhao Yan
Qian-Wen Zhang
Di Yin
Xing Sun
Zhoujun Li
23
48
0
18 Dec 2023
Mixed Distillation Helps Smaller Language Model Better Reasoning
Mixed Distillation Helps Smaller Language Model Better Reasoning
Chenglin Li
Qianglong Chen
Liangyue Li
Wang Caiyu
Yicheng Li
Zhang Yin
Yin Zhang
LRM
21
11
0
17 Dec 2023
Rethinking the Instruction Quality: LIFT is What You Need
Rethinking the Instruction Quality: LIFT is What You Need
Yang Xu
Yongqiang Yao
Yufan Huang
Mengnan Qi
Maoquan Wang
Bin Gu
Neel Sundaresan
ALM
11
32
0
12 Dec 2023
LLM360: Towards Fully Transparent Open-Source LLMs
LLM360: Towards Fully Transparent Open-Source LLMs
Zhengzhong Liu
Aurick Qiao
W. Neiswanger
Hongyi Wang
Bowen Tan
...
Zhiting Hu
Mark Schulze
Preslav Nakov
Timothy Baldwin
Eric P. Xing
36
68
0
11 Dec 2023
SmoothQuant+: Accurate and Efficient 4-bit Post-Training
  WeightQuantization for LLM
SmoothQuant+: Accurate and Efficient 4-bit Post-Training WeightQuantization for LLM
Jiayi Pan
Chengcan Wang
Kaifu Zheng
Yangguang Li
Zhenyu Wang
Bin Feng
MQ
27
7
0
06 Dec 2023
Controlled Text Generation via Language Model Arithmetic
Controlled Text Generation via Language Model Arithmetic
Jasper Dekoninck
Marc Fischer
Luca Beurer-Kellner
Martin Vechev
24
36
0
24 Nov 2023
PrivateLoRA For Efficient Privacy Preserving LLM
PrivateLoRA For Efficient Privacy Preserving LLM
Yiming Wang
Yu Lin
Xiaodong Zeng
Guannan Zhang
32
11
0
23 Nov 2023
Transfer Attacks and Defenses for Large Language Models on Coding Tasks
Transfer Attacks and Defenses for Large Language Models on Coding Tasks
Chi Zhang
Zifan Wang
Ravi Mangal
Matt Fredrikson
Limin Jia
Corina S. Pasareanu
AAML
SILM
17
1
0
22 Nov 2023
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs
Sen Yang
Xin Li
Leyang Cui
Li Bing
Wai Lam
LRM
NAI
26
15
0
16 Nov 2023
Routing to the Expert: Efficient Reward-guided Ensemble of Large
  Language Models
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
Keming Lu
Hongyi Yuan
Runji Lin
Junyang Lin
Zheng Yuan
Chang Zhou
Jingren Zhou
MoE
LRM
32
52
0
15 Nov 2023
Language Models can be Logical Solvers
Language Models can be Logical Solvers
Jiazhan Feng
Ruochen Xu
Junheng Hao
Hiteshi Sharma
Yelong Shen
Dongyan Zhao
Weizhu Chen
ReLM
LRM
ELM
31
22
0
10 Nov 2023
Previous
12345
Next