Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2402.00913
Cited By
v1
v2
v3 (latest)
Institutional Platform for Secure Self-Service Large Language Model Exploration
1 February 2024
V. Bumgardner
Mitchell A. Klusty
W. V. Logan
Samuel E. Armstrong
Caylin D. Hickey
Jeff Talbert
Caylin Hickey
Jeff Talbert
Re-assign community
ArXiv (abs)
PDF
HTML
Github
Papers citing
"Institutional Platform for Secure Self-Service Large Language Model Exploration"
32 / 32 papers shown
DINO-MX: A Modular & Flexible Framework for Self-Supervised Learning
Mahmut S. Gokmen
Cody Bumgardner
166
1
0
03 Nov 2025
LLMs on a Budget? Say HOLA
Zohaib Hasan Siddiqui
Jiechao Gao
Ebad Shabbir
Mohammad Anas Azeez
Rafiq Ali
Gautam Siddharth Kashyap
Usman Naseem
141
0
0
23 Jun 2025
Hermes 3 Technical Report
Ryan Teknium
Jeffrey Quesnelle
Chen Guang
216
33
0
15 Aug 2024
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
824
193
0
20 Mar 2024
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
Ying Sheng
Shiyi Cao
Dacheng Li
Coleman Hooper
Nicholas Lee
...
Banghua Zhu
Lianmin Zheng
Kurt Keutzer
Joseph E. Gonzalez
Ion Stoica
MoE
409
167
0
06 Nov 2023
Don't Make Your LLM an Evaluation Benchmark Cheater
Kun Zhou
Yutao Zhu
Zhipeng Chen
Wentong Chen
Wayne Xin Zhao
Xu Chen
Yankai Lin
Ji-Rong Wen
Jiawei Han
ELM
388
228
0
03 Nov 2023
Punica: Multi-Tenant LoRA Serving
Conference on Machine Learning and Systems (MLSys), 2023
Lequn Chen
Zihao Ye
Yongji Wu
Danyang Zhuo
Luis Ceze
Arvind Krishnamurthy
273
77
0
28 Oct 2023
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
International Conference on Learning Representations (ICLR), 2023
Yixiao Li
Yifan Yu
Chen Liang
Pengcheng He
Nikos Karampatziakis
Weizhu Chen
Tuo Zhao
MQ
628
213
0
12 Oct 2023
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
International Conference on Learning Representations (ICLR), 2023
Mengzhou Xia
Tianyu Gao
Zhiyuan Zeng
Danqi Chen
553
441
0
10 Oct 2023
Scaling Laws of RoPE-based Extrapolation
International Conference on Learning Representations (ICLR), 2023
Xiaoran Liu
Hang Yan
Shuo Zhang
Chen An
Xipeng Qiu
Dahua Lin
381
130
0
08 Oct 2023
D4: Improving LLM Pretraining via Document De-Duplication and Diversification
Neural Information Processing Systems (NeurIPS), 2023
Kushal Tirumala
Daniel Simig
Armen Aghajanyan
Ari S. Morcos
SyDa
271
164
0
23 Aug 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
12.4K
16,448
0
18 Jul 2023
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
International Conference on Learning Representations (ICLR), 2023
Tri Dao
LRM
627
2,480
0
17 Jul 2023
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Conference on Machine Learning and Systems (MLSys), 2023
Ji Lin
Jiaming Tang
Haotian Tang
Shang Yang
Wei-Ming Chen
Wei-Chen Wang
Guangxuan Xiao
Xingyu Dang
Chuang Gan
Song Han
EDL
MQ
1.0K
1,217
0
01 Jun 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Neural Information Processing Systems (NeurIPS), 2023
Rafael Rafailov
Archit Sharma
E. Mitchell
Stefano Ermon
Christopher D. Manning
Chelsea Finn
ALM
1.1K
7,889
0
29 May 2023
QLoRA: Efficient Finetuning of Quantized LLMs
Neural Information Processing Systems (NeurIPS), 2023
Tim Dettmers
Artidoro Pagnoni
Ari Holtzman
Luke Zettlemoyer
ALM
784
4,250
0
23 May 2023
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
5.3K
23,506
0
15 Mar 2023
Reward Design with Language Models
International Conference on Learning Representations (ICLR), 2023
Minae Kwon
Sang Michael Xie
Kalesha Bullard
Dorsa Sadigh
LM&Ro
546
301
0
27 Feb 2023
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALM
PILM
20.2K
19,316
0
27 Feb 2023
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Jules White
Quchen Fu
Sam Hays
Michael Sandborn
Carlos Olea
Henry Gilbert
Ashraf Elnashar
Jesse Spencer-Smith
Douglas C. Schmidt
LLMAG
483
1,681
0
21 Feb 2023
KronA: Parameter Efficient Tuning with Kronecker Adapter
Ali Edalati
Marzieh S. Tahaei
I. Kobyzev
V. Nia
J. Clark
Mehdi Rezagholizadeh
251
146
0
20 Dec 2022
Robust Speech Recognition via Large-Scale Weak Supervision
International Conference on Machine Learning (ICML), 2022
Alec Radford
Jong Wook Kim
Tao Xu
Greg Brockman
C. McLeavey
Ilya Sutskever
OffRL
1.4K
6,620
0
06 Dec 2022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yaqing Wang
Sahaj Agarwal
Subhabrata Mukherjee
Xiaodong Liu
Jing Gao
Ahmed Hassan Awadallah
Jianfeng Gao
MoE
386
188
0
31 Oct 2022
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Elias Frantar
Saleh Ashkboos
Torsten Hoefler
Dan Alistarh
MQ
681
1,837
0
31 Oct 2022
MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering
ACM Conference on Health, Inference, and Learning (ACM CHIL), 2022
Ankit Pal
Logesh Kumar Umapathi
Malaikannan Sankarasubbu
ELM
LM&MA
673
624
0
27 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
DiffM
4.8K
23,580
0
20 Dec 2021
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
International Conference on Learning Representations (ICLR), 2021
Nam Hyeon-Woo
Moon Ye-Bin
Tae-Hyun Oh
FedML
439
175
0
13 Aug 2021
LoRA: Low-Rank Adaptation of Large Language Models
International Conference on Learning Representations (ICLR), 2021
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
1.9K
17,979
0
17 Jun 2021
Amazon SageMaker Autopilot: a white box AutoML solution at scale
Piali Das
Laurence Rouesnel
Nikita Ivkin
Tanya Bansal
Zohar Karnin
...
Giovanni Zappella
Cedric Archembeau
Matthias Seeger
Bhaskar Dutt
K. Venkateswar
388
77
0
15 Dec 2020
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
International Conference on Learning Representations (ICLR), 2020
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
541
588
0
03 Nov 2020
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
3.1K
112,756
0
11 Oct 2018
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
1.5K
26,647
0
20 Jul 2017
1
Page 1 of 1
