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LLaMA: Open and Efficient Foundation Language Models

LLaMA: Open and Efficient Foundation Language Models

27 February 2023
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
Timothée Lacroix
Baptiste Rozière
Naman Goyal
Eric Hambro
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
    ALM
    PILM
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Papers citing "LLaMA: Open and Efficient Foundation Language Models"

50 / 5,755 papers shown
Title
Good Data, Large Data, or No Data? Comparing Three Approaches in
  Developing Research Aspect Classifiers for Biomedical Papers
Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers
S. Chandrasekhar
Huang Chieh-Yang
Ting-Hao 'Kenneth' Huang
27
2
0
07 Jun 2023
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large
  Language Models
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
Yew Ken Chia
Pengfei Hong
Lidong Bing
Soujanya Poria
ELM
25
63
0
07 Jun 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
39
73
0
07 Jun 2023
Matte Anything: Interactive Natural Image Matting with Segment Anything
  Models
Matte Anything: Interactive Natural Image Matting with Segment Anything Models
J. Yao
Xinggang Wang
Lang Ye
Wenyu Liu
28
38
0
07 Jun 2023
LLMZip: Lossless Text Compression using Large Language Models
LLMZip: Lossless Text Compression using Large Language Models
Chandra Shekhara Kaushik Valmeekam
Krishna R. Narayanan
D. Kalathil
J. Chamberland
S. Shakkottai
27
29
0
06 Jun 2023
Turning large language models into cognitive models
Turning large language models into cognitive models
Marcel Binz
Eric Schulz
32
54
0
06 Jun 2023
ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory
ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory
Chenxu Hu
Jie Fu
Chenzhuang Du
Simian Luo
J. Zhao
Hang Zhao
KELM
LLMAG
35
105
0
06 Jun 2023
Enabling Intelligent Interactions between an Agent and an LLM: A
  Reinforcement Learning Approach
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
Bin-Bin Hu
Chenyang Zhao
Pushi Zhang
Zihao Zhou
Yuanhang Yang
Zenglin Xu
Bin Liu
LM&Ro
LLMAG
30
21
0
06 Jun 2023
Applying Standards to Advance Upstream & Downstream Ethics in Large
  Language Models
Applying Standards to Advance Upstream & Downstream Ethics in Large Language Models
Jose Berengueres
Marybeth Sandell
30
0
0
06 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning
Transition Role of Entangled Data in Quantum Machine Learning
Xinbiao Wang
Yuxuan Du
Zhuozhuo Tu
Yong Luo
Xiao Yuan
Dacheng Tao
48
8
0
06 Jun 2023
LEACE: Perfect linear concept erasure in closed form
LEACE: Perfect linear concept erasure in closed form
Nora Belrose
David Schneider-Joseph
Shauli Ravfogel
Ryan Cotterell
Edward Raff
Stella Biderman
KELM
MU
41
102
0
06 Jun 2023
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and
  Zero-Shot Fact Verification with Pre-trained Language Models
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models
Fengzhu Zeng
Wei Gao
23
5
0
05 Jun 2023
Memorization Capacity of Multi-Head Attention in Transformers
Memorization Capacity of Multi-Head Attention in Transformers
Sadegh Mahdavi
Renjie Liao
Christos Thrampoulidis
26
22
0
03 Jun 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
Q. V. Liao
J. Vaughan
44
159
0
02 Jun 2023
Discovering Failure Modes of Text-guided Diffusion Models via
  Adversarial Search
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
Qihao Liu
Adam Kortylewski
Yutong Bai
Song Bai
Alan Yuille
DiffM
34
12
0
01 Jun 2023
Make Pre-trained Model Reversible: From Parameter to Memory Efficient
  Fine-Tuning
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
Baohao Liao
Shaomu Tan
Christof Monz
KELM
23
29
0
01 Jun 2023
Decision-Oriented Dialogue for Human-AI Collaboration
Decision-Oriented Dialogue for Human-AI Collaboration
Jessy Lin
Nicholas Tomlin
Jacob Andreas
J. Eisner
LLMAG
35
27
0
31 May 2023
What does the Failure to Reason with "Respectively" in Zero/Few-Shot
  Settings Tell Us about Language Models?
What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models?
Ruixiang Cui
Seolhwa Lee
Daniel Hershcovich
Anders Søgaard
33
2
0
31 May 2023
GPT4GEO: How a Language Model Sees the World's Geography
GPT4GEO: How a Language Model Sees the World's Geography
Jonathan Roberts
Timo Lüddecke
Sowmen Das
Kai Han
Samuel Albanie
19
60
0
30 May 2023
Faith and Fate: Limits of Transformers on Compositionality
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri
Ximing Lu
Melanie Sclar
Xiang Lorraine Li
Liwei Jian
...
Sean Welleck
Xiang Ren
Allyson Ettinger
Zaïd Harchaoui
Yejin Choi
ReLM
LRM
30
334
0
29 May 2023
Controllable Text-to-Image Generation with GPT-4
Controllable Text-to-Image Generation with GPT-4
Tianjun Zhang
Yi Zhang
Vibhav Vineet
Neel Joshi
Xin Wang
DiffM
30
42
0
29 May 2023
Information Association for Language Model Updating by Mitigating
  LM-Logical Discrepancy
Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy
Pengfei Yu
Heng Ji
KELM
36
9
0
29 May 2023
Contextual Object Detection with Multimodal Large Language Models
Contextual Object Detection with Multimodal Large Language Models
Yuhang Zang
Wei Li
Jun Han
Kaiyang Zhou
Chen Change Loy
ObjD
VLM
MLLM
35
78
0
29 May 2023
Do Large Language Models Know What They Don't Know?
Do Large Language Models Know What They Don't Know?
Zhangyue Yin
Qiushi Sun
Qipeng Guo
Jiawen Wu
Xipeng Qiu
Xuanjing Huang
ELM
AI4MH
41
150
0
29 May 2023
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
Zechun Liu
Barlas Oğuz
Changsheng Zhao
Ernie Chang
Pierre Stock
Yashar Mehdad
Yangyang Shi
Raghuraman Krishnamoorthi
Vikas Chandra
MQ
60
190
0
29 May 2023
Taming AI Bots: Controllability of Neural States in Large Language
  Models
Taming AI Bots: Controllability of Neural States in Large Language Models
Stefano Soatto
Paulo Tabuada
Pratik Chaudhari
Tianwei Liu
LLMAG
LM&Ro
18
13
0
29 May 2023
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large
  Language Models
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models
Gengze Zhou
Yicong Hong
Qi Wu
ELM
LM&Ro
LLMAG
LRM
25
142
0
26 May 2023
Parameter-Efficient Fine-Tuning without Introducing New Latency
Parameter-Efficient Fine-Tuning without Introducing New Latency
Baohao Liao
Yan Meng
Christof Monz
24
49
0
26 May 2023
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate
  Model
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model
Yibo Miao
Hongcheng Gao
Hao Zhang
Zhijie Deng
DeLMO
35
20
0
26 May 2023
On the Tool Manipulation Capability of Open-source Large Language Models
On the Tool Manipulation Capability of Open-source Large Language Models
Qiantong Xu
Fenglu Hong
Bohao Li
Changran Hu
Zheng Chen
Jian Zhang
LLMAG
35
69
0
25 May 2023
Automated Tensor Model Parallelism with Overlapped Communication for
  Efficient Foundation Model Training
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training
Shengwei Li
Zhiquan Lai
Yanqi Hao
Weijie Liu
Ke-shi Ge
Xiaoge Deng
Dongsheng Li
KaiCheng Lu
19
10
0
25 May 2023
ChatBridge: Bridging Modalities with Large Language Model as a Language
  Catalyst
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst
Zijia Zhao
Longteng Guo
Tongtian Yue
Si-Qing Chen
Shuai Shao
Xinxin Zhu
Zehuan Yuan
Jing Liu
MLLM
40
52
0
25 May 2023
Dynamic Context Pruning for Efficient and Interpretable Autoregressive
  Transformers
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Sotiris Anagnostidis
Dario Pavllo
Luca Biggio
Lorenzo Noci
Aurelien Lucchi
Thomas Hofmann
42
53
0
25 May 2023
The False Promise of Imitating Proprietary LLMs
The False Promise of Imitating Proprietary LLMs
Arnav Gudibande
Eric Wallace
Charles Burton Snell
Xinyang Geng
Hao Liu
Pieter Abbeel
Sergey Levine
Dawn Song
ALM
44
198
0
25 May 2023
Large Language Models are Few-Shot Health Learners
Large Language Models are Few-Shot Health Learners
Xin Liu
Daniel J. McDuff
G. Kovács
I. Galatzer-Levy
Jacob Sunshine
Jiening Zhan
M. Poh
Shun Liao
P. Achille
Shwetak N. Patel
LM&MA
AI4MH
39
103
0
24 May 2023
Visual Programming for Text-to-Image Generation and Evaluation
Visual Programming for Text-to-Image Generation and Evaluation
Jaemin Cho
Abhaysinh Zala
Joey Tianyi Zhou
MLLM
29
50
0
24 May 2023
EvEval: A Comprehensive Evaluation of Event Semantics for Large Language
  Models
EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models
Zhengwei Tao
Zhi Jin
Xiaoying Bai
Haiyan Zhao
Yanlin Feng
Jia Li
Wenpeng Hu
37
4
0
24 May 2023
Spoken Question Answering and Speech Continuation Using
  Spectrogram-Powered LLM
Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM
Eliya Nachmani
Alon Levkovitch
Roy Hirsch
Julián Salazar
Chulayutsh Asawaroengchai
Soroosh Mariooryad
Ehud Rivlin
RJ Skerry-Ryan
Michelle Tadmor Ramanovich
AuLLM
31
31
0
24 May 2023
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics
Shaurya Rohatgi
Yanxia Qin
Benjamin Aw
Niranjana Unnithan
MingSung Kan
LMTD
20
12
0
24 May 2023
Block-local learning with probabilistic latent representations
Block-local learning with probabilistic latent representations
David Kappel
Khaleelulla Khan Nazeer
Cabrel Teguemne Fokam
Christian Mayr
Anand Subramoney
24
4
0
24 May 2023
Adversarial Demonstration Attacks on Large Language Models
Adversarial Demonstration Attacks on Large Language Models
Jiong Wang
Zi-yang Liu
Keun Hee Park
Zhuojun Jiang
Zhaoheng Zheng
Zhuofeng Wu
Muhao Chen
Chaowei Xiao
SILM
42
52
0
24 May 2023
In-Context Impersonation Reveals Large Language Models' Strengths and
  Biases
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
Leonard Salewski
Stephan Alaniz
Isabel Rio-Torto
Eric Schulz
Zeynep Akata
44
151
0
24 May 2023
Extracting Psychological Indicators Using Question Answering
Extracting Psychological Indicators Using Question Answering
Luka Pavlović
14
0
0
24 May 2023
Estimating Large Language Model Capabilities without Labeled Test Data
Estimating Large Language Model Capabilities without Labeled Test Data
Harvey Yiyun Fu
Qinyuan Ye
Albert Xu
Xiang Ren
Robin Jia
21
8
0
24 May 2023
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space
  Manipulation
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation
Dongxu Yue
Qin Guo
Munan Ning
Jiaxi Cui
Yuesheng Zhu
Liuliang Yuan
DiffM
29
11
0
24 May 2023
Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for
  Large Language Models
Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
Sheng Shen
Le Hou
Yan-Quan Zhou
Nan Du
Shayne Longpre
...
Vincent Zhao
Hongkun Yu
Kurt Keutzer
Trevor Darrell
Denny Zhou
ALM
MoE
38
54
0
24 May 2023
Emergent inabilities? Inverse scaling over the course of pretraining
Emergent inabilities? Inverse scaling over the course of pretraining
J. Michaelov
Benjamin Bergen
LRM
ReLM
22
3
0
24 May 2023
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
Benfeng Xu
An Yang
Junyang Lin
Quang Wang
Chang Zhou
Yongdong Zhang
Zhendong Mao
ALM
47
133
0
24 May 2023
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond
Philippe Laban
Wojciech Kry'sciñski
Divyansh Agarwal
Alexander R. Fabbri
Caiming Xiong
Chenyu You
Chien-Sheng Wu
ALM
HILM
35
33
0
23 May 2023
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model
  Pre-training
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Hong Liu
Zhiyuan Li
David Leo Wright Hall
Percy Liang
Tengyu Ma
VLM
55
132
0
23 May 2023
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