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Llama 2: Open Foundation and Fine-Tuned Chat Models

Llama 2: Open Foundation and Fine-Tuned Chat Models

18 July 2023
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
Yasmine Babaei
Nikolay Bashlykov
Soumya Batra
Prajjwal Bhargava
Shruti Bhosale
Daniel M. Bikel
Lukas Blecher
Cristian Canton Ferrer
Moya Chen
Guillem Cucurull
David Esiobu
Jude Fernandes
Jeremy Fu
Wenyin Fu
Brian Fuller
Cynthia Gao
Vedanuj Goswami
Naman Goyal
Anthony Hartshorn
Saghar Hosseini
Rui Hou
Hakan Inan
Marcin Kardas
Viktor Kerkez
Madian Khabsa
Isabel Kloumann
Artem Korenev
Punit Singh Koura
Marie-Anne Lachaux
Thibaut Lavril
Jenya Lee
Diana Liskovich
Yinghai Lu
Yuning Mao
Xavier Martinet
Todor Mihaylov
Pushkar Mishra
Igor Molybog
Yixin Nie
Andrew Poulton
Jeremy Reizenstein
Rashi Rungta
Kalyan Saladi
Alan Schelten
Ruan Silva
Eric Michael Smith
R. Subramanian
Xia Tan
Binh Tang
Ross Taylor
Adina Williams
Jian Xiang Kuan
Puxin Xu
Zhengxu Yan
Iliyan Zarov
Yuchen Zhang
Angela Fan
Melanie Kambadur
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
    AI4MH
    ALM
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Papers citing "Llama 2: Open Foundation and Fine-Tuned Chat Models"

50 / 7,703 papers shown
Title
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
Guang Yan
Yuhui Zhang
Zimu Guo
Lutan Zhao
Xiaojun Chen
Chen Wang
Wenhao Wang
Dan Meng
Rui Hou
12
0
0
12 May 2025
REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback
REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback
Aniruddha Roy
Pretam Ray
Abhilash Nandy
Somak Aditya
Pawan Goyal
ALM
14
0
0
10 May 2025
xGen-small Technical Report
xGen-small Technical Report
Erik Nijkamp
Bo Pang
Egor Pakhomov
Akash Gokul
Jin Qu
Silvio Savarese
Yingbo Zhou
Caiming Xiong
LLMAG
38
0
0
10 May 2025
KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery
KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery
Yumou Wei
Paulo Carvalho
John Stamper
AI4Ed
32
0
0
09 May 2025
3D CAVLA: Leveraging Depth and 3D Context to Generalize Vision Language Action Models for Unseen Tasks
3D CAVLA: Leveraging Depth and 3D Context to Generalize Vision Language Action Models for Unseen Tasks
V. Bhat
Yu-Hsiang Lan
P. Krishnamurthy
Ramesh Karri
Farshad Khorrami
35
0
0
09 May 2025
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Learning
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Learning
Hang Gao
Chenhao Zhang
Tie Wang
Junsuo Zhao
Fengge Wu
Changwen Zheng
Huaping Liu
LRM
17
0
0
09 May 2025
The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization
The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization
Jae-Won Chung
Jiachen Liu
Jeff J. Ma
Ruofan Wu
Oh Jun Kweon
Yuxuan Xia
Zhiyu Wu
Mosharaf Chowdhury
9
0
0
09 May 2025
Evolutionary thoughts: integration of large language models and evolutionary algorithms
Evolutionary thoughts: integration of large language models and evolutionary algorithms
Antonio Jimeno Yepes
Pieter Barnard
12
0
0
09 May 2025
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
Qingwen Bu
Y. Yang
Jisong Cai
Shenyuan Gao
Guanghui Ren
Maoqing Yao
Ping Luo
Hongyang Li
22
0
0
09 May 2025
Camera Control at the Edge with Language Models for Scene Understanding
Camera Control at the Edge with Language Models for Scene Understanding
Alexiy Buynitsky
Sina Ehsani
Bhanu Pallakonda
Pragyana Mishra
VLM
18
0
0
09 May 2025
Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders
Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders
Boyi Deng
Yu Wan
Yidan Zhang
Baosong Yang
Fuli Feng
34
0
0
08 May 2025
PADriver: Towards Personalized Autonomous Driving
PADriver: Towards Personalized Autonomous Driving
Genghua Kou
Fan Jia
Weixin Mao
Y. Liu
Yucheng Zhao
Ziheng Zhang
Osamu Yoshie
Tiancai Wang
Y. Li
X. Zhang
35
0
0
08 May 2025
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction
Xiaowei Zhu
Yubing Ren
Yanan Cao
Xixun Lin
Fang Fang
Yangxi Li
28
0
0
08 May 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang
Sarah Monazam Erfani
Yige Li
Xingjun Ma
James Bailey
AAML
32
0
0
08 May 2025
Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding
Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding
Han Xiao
Yina Xie
Guanxin Tan
Yinghao Chen
R. Hu
...
Peng Gao
Yafei Wen
Xiaoxin Chen
Shuai Ren
Hongsheng Li
VLM
30
0
0
08 May 2025
Privacy-Preserving Transformers: SwiftKey's Differential Privacy Implementation
Privacy-Preserving Transformers: SwiftKey's Differential Privacy Implementation
Abdelrahman Abouelenin
M. Abdelrehim
Raffy Fahim
Amr Hendy
Mohamed Afify
12
0
0
08 May 2025
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
Zhuocheng Gong
Jian-Yu Guan
Wei Yu Wu
Huishuai Zhang
Dongyan Zhao
43
1
0
08 May 2025
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities
Kalyan Nakka
Jimmy Dani
Ausmit Mondal
Nitesh Saxena
AAML
13
0
0
08 May 2025
ICon: In-Context Contribution for Automatic Data Selection
ICon: In-Context Contribution for Automatic Data Selection
Yixin Yang
Qingxiu Dong
Linli Yao
Fangwei Zhu
Zhifang Sui
38
0
0
08 May 2025
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know
Shireen Kudukkil Manchingal
Fabio Cuzzolin
42
0
0
08 May 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
Xiaoyu Xu
Minxin Du
Qingqing Ye
Haibo Hu
MU
45
0
0
07 May 2025
Large Means Left: Political Bias in Large Language Models Increases with Their Number of Parameters
Large Means Left: Political Bias in Large Language Models Increases with Their Number of Parameters
David Exler
Mark Schutera
Markus Reischl
Luca Rettenberger
41
0
0
07 May 2025
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
Taehyun Cho
Seokhun Ju
Seungyub Han
Dohyeong Kim
Kyungjae Lee
Jungwoo Lee
OffRL
17
0
0
06 May 2025
Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity
Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity
Shahroz Tariq
Ronal Singh
Mohan Baruwal Chhetri
Surya Nepal
Cécile Paris
41
1
0
06 May 2025
Automatic Calibration for Membership Inference Attack on Large Language Models
Automatic Calibration for Membership Inference Attack on Large Language Models
Saleh Zare Zade
Yao Qiang
Xiangyu Zhou
Hui Zhu
Mohammad Amin Roshani
Prashant Khanduri
Dongxiao Zhu
20
0
0
06 May 2025
Soft Best-of-n Sampling for Model Alignment
Soft Best-of-n Sampling for Model Alignment
C. M. Verdun
Alex Oesterling
Himabindu Lakkaraju
Flavio du Pin Calmon
BDL
47
0
0
06 May 2025
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
Baijiong Lin
Weisen Jiang
Yuancheng Xu
Hao Chen
Ying Chen
16
0
0
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Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
X. Zhang
Jintao Guo
Shanshan Zhao
Minghao Fu
Lunhao Duan
Guo-Hua Wang
Qing-Guo Chen
Zhao Xu
Weihua Luo
Kaifu Zhang
DiffM
57
0
0
05 May 2025
Improving Model Alignment Through Collective Intelligence of Open-Source LLMS
Improving Model Alignment Through Collective Intelligence of Open-Source LLMS
Junlin Wang
Roy Xie
Shang Zhu
Jue Wang
Ben Athiwaratkun
Bhuwan Dhingra
S. Song
Ce Zhang
James Y. Zou
ALM
24
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0
05 May 2025
FairPO: Robust Preference Optimization for Fair Multi-Label Learning
FairPO: Robust Preference Optimization for Fair Multi-Label Learning
Soumen Kumar Mondal
Akshit Varmora
Prateek Chanda
Ganesh Ramakrishnan
25
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0
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SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning
SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning
Tianjian Li
Daniel Khashabi
50
0
0
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Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs
Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs
Elisa Forcada Rodríguez
Olatz Perez-de-Viñaspre
Jon Ander Campos
Dietrich Klakow
Vagrant Gautam
19
0
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Incentivizing Inclusive Contributions in Model Sharing Markets
Incentivizing Inclusive Contributions in Model Sharing Markets
Enpei Zhang
Jingyi Chai
Rui Ye
Yanfeng Wang
Siheng Chen
TDI
FedML
44
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An End-to-End Model For Logits Based Large Language Models Watermarking
An End-to-End Model For Logits Based Large Language Models Watermarking
Kahim Wong
Jicheng Zhou
Jiantao Zhou
Yain-Whar Si
WaLM
30
1
0
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Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
Zhengliang Shi
Lingyong Yan
Weiwei Sun
Yue Feng
Pengjie Ren
Xinyu Ma
Shuaiqiang Wang
D. Yin
Maarten de Rijke
Z. Ren
RALM
36
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0
05 May 2025
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
Jiarui Yao
Yifan Hao
Hanning Zhang
Hanze Dong
Wei Xiong
Nan Jiang
Tong Zhang
LRM
47
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Towards Quantifying the Hessian Structure of Neural Networks
Towards Quantifying the Hessian Structure of Neural Networks
Zhaorui Dong
Yushun Zhang
Z. Luo
Jianfeng Yao
Ruoyu Sun
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Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation
Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation
Gerard Pons
Besim Bilalli
Anna Queralt
33
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A Survey on Progress in LLM Alignment from the Perspective of Reward Design
A Survey on Progress in LLM Alignment from the Perspective of Reward Design
Miaomiao Ji
Yanqiu Wu
Zhibin Wu
Shoujin Wang
Jian Yang
Mark Dras
Usman Naseem
31
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QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach
QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach
Shouyang Dong
Yuanbo Wen
Jun Bi
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Yifan Hao
Xuehai Zhou
Tianshi Chen
Qi Guo
Yunji Chen
14
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What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction
Eitan Wagner
Omri Abend
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Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
Zhong Guan
Likang Wu
Hongke Zhao
Ming He
Jianpin Fan
GNN
25
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SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation
SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation
Tanguy Herserant
Vincent Guigue
ELM
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Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
Jiancong Xiao
Bojian Hou
Zhanliang Wang
Ruochen Jin
Q. Long
Weijie Su
Li Shen
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Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions
Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions
Cunxin Fan
Xiaosong Jia
Yihang Sun
Yixiao Wang
Jianglan Wei
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Xiangyu Zhao
M. Tomizuka
Xue Yang
Junchi Yan
Mingyu Ding
LM&Ro
VLM
54
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Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
Yezhen Wang
Zhouhao Yang
Brian K Chen
Fanyi Pu
Bo-wen Li
Tianyu Gao
Kenji Kawaguchi
34
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Exploring the Role of Diversity in Example Selection for In-Context Learning
Exploring the Role of Diversity in Example Selection for In-Context Learning
Janak Kapuriya
Manit Kaushik
Debasis Ganguly
S. Bhatia
10
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Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
Haoming Yang
Ke Ma
X. Jia
Yingfei Sun
Qianqian Xu
Q. Huang
AAML
52
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Don't be lazy: CompleteP enables compute-efficient deep transformers
Don't be lazy: CompleteP enables compute-efficient deep transformers
Nolan Dey
Bin Claire Zhang
Lorenzo Noci
Mufan Bill Li
Blake Bordelon
Shane Bergsma
C. Pehlevan
Boris Hanin
Joel Hestness
37
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LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
Francisco Aguilera-Martínez
Fernando Berzal
PILM
45
0
0
02 May 2025
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