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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 / 7,748 papers shown
Title
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
29
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
26
0
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
37
1
0
06 May 2025
PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation
PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation
HsiaoYuan Hsu
Yuxin Peng
26
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
159
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
51
1
0
06 May 2025
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis
Xinyuan Yan
Xiwei Xuan
Jorge Henrique Piazentin Ono
Jiajing Guo
V. Mohanty
Shekar Arvind Kumar
Liang Gou
Bei Wang
Liu Ren
42
0
0
06 May 2025
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
48
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0
05 May 2025
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
39
0
0
05 May 2025
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
34
2
0
05 May 2025
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Xuzhi Zhang
Jintao Guo
Shanshan Zhao
Minghao Fu
Lunhao Duan
Guo-Hua Wang
Qing-Guo Chen
Zhao Xu
Weihua Luo
Kaifu Zhang
DiffM
74
0
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
62
0
0
05 May 2025
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
31
0
0
05 May 2025
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
55
0
0
05 May 2025
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
29
0
0
05 May 2025
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
38
1
0
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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
32
0
0
05 May 2025
Incentivizing Inclusive Contributions in Model Sharing Markets
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Enpei Zhang
Jingyi Chai
Rui Ye
Yanfeng Wang
Siheng Chen
TDI
FedML
144
0
0
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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
31
0
0
05 May 2025
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
39
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04 May 2025
SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation
SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation
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Vincent Guigue
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40
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QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach
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Shouyang Dong
Yuanbo Wen
Jun Bi
Di Huang
Jiaming Guo
...
Yifan Hao
Xuehai Zhou
Tianshi Chen
Qi Guo
Yunji Chen
32
0
0
04 May 2025
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
34
0
0
04 May 2025
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
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Jianglan Wei
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M. Tomizuka
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Junchi Yan
Mingyu Ding
LM&Ro
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69
3
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Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
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Jiancong Xiao
Bojian Hou
Zhanliang Wang
Ruochen Jin
Q. Long
Weijie Su
Li Shen
30
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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
Xiaojun Jia
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Qianqian Xu
Q. Huang
AAML
159
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Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
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Exploring the Role of Diversity in Example Selection for In-Context Learning
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PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
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116
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LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
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RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
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Xing Hu
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Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration
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Multi-agents based User Values Mining for Recommendation
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Efficient Fine-Tuning of Quantized Models via Adaptive Rank and Bitwidth
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