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On the Challenges and Opportunities in Generative AI
v1v2v3 (latest)

On the Challenges and Opportunities in Generative AI

28 February 2024
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
Sophie Fellenz
Asja Fischer
Thomas Gartner
Matthias Kirchler
Marius Kloft
Yingzhen Li
Christoph Lippert
Gerard de Melo
Eric T. Nalisnick
Eric Nalisnick
Rajesh Ranganath
Maja R. Rudolph
Karen Ullrich
Guy Van den Broeck
Julia E. Vogt
Yixin Wang
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
ArXiv (abs)PDFHTML

Papers citing "On the Challenges and Opportunities in Generative AI"

50 / 305 papers shown
Title
Pretrained LLMs Learn Multiple Types of Uncertainty
Pretrained LLMs Learn Multiple Types of Uncertainty
Roi Cohen
Omri Fahn
Gerard de Melo
21
0
0
27 May 2025
Position: Foundation Models Need Digital Twin Representations
Position: Foundation Models Need Digital Twin Representations
Yiqing Shen
Hao Ding
Lalithkumar Seenivasan
Tianmin Shu
Mathias Unberath
AI4CE
111
1
0
01 May 2025
Unity by Diversity: Improved Representation Learning in Multimodal VAEs
Unity by Diversity: Improved Representation Learning in Multimodal VAEs
Thomas M. Sutter
Yang Meng
Andrea Agostini
Daphné Chopard
Norbert Fortin
Julia E. Vogt
Bahbak Shahbaba
Stephan Mandt
SSL
79
2
0
08 Jan 2025
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
Roi Cohen
Konstantin Dobler
Eden Biran
Gerard de Melo
163
9
0
09 Dec 2024
WorldSimBench: Towards Video Generation Models as World Simulators
WorldSimBench: Towards Video Generation Models as World Simulators
Yiran Qin
Zhelun Shi
Jiwen Yu
Xijun Wang
Enshen Zhou
...
Lu Sheng
Jing Shao
Junlin Wu
Wanli Ouyang
Ruimao Zhang
EGVMVGen
192
447
0
23 Oct 2024
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
Mayank Nagda
Phil Ostheimer
Sophie Fellenz
481
0
0
22 Oct 2024
SetPINNs: Set-based Physics-informed Neural Networks
SetPINNs: Set-based Physics-informed Neural Networks
Mayank Nagda
Phil Ostheimer
Thomas Specht
Frank Rhein
Fabian Jirasek
Stephan Mandt
Marius Kloft
Sophie Fellenz
PINN3DPC
181
1
0
30 Sep 2024
Replication in Visual Diffusion Models: A Survey and Outlook
Replication in Visual Diffusion Models: A Survey and Outlook
Wenhao Wang
Yifan Sun
Zongxin Yang
Zhengdong Hu
Zhentao Tan
Yi Yang
164
8
0
07 Jul 2024
Certifiably Robust Image Watermark
Certifiably Robust Image Watermark
Zhengyuan Jiang
Moyang Guo
Yuepeng Hu
Jinyuan Jia
Neil Zhenqiang Gong
WIGMAAML
71
5
0
04 Jul 2024
Generative Topological Networks
Generative Topological Networks
Alona Levy-Jurgenson
Z. Yakhini
82
0
0
21 Jun 2024
Latent Directions: A Simple Pathway to Bias Mitigation in Generative AI
Latent Directions: A Simple Pathway to Bias Mitigation in Generative AI
Carolina Lopez Olmos
A. Neophytou
Sunando Sengupta
Dim P. Papadopoulos
EGVM
59
2
0
10 Jun 2024
How Random is Random? Evaluating the Randomness and Humaness of LLMs'
  Coin Flips
How Random is Random? Evaluating the Randomness and Humaness of LLMs' Coin Flips
K. V. Koevering
Jon M. Kleinberg
33
7
0
31 May 2024
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation
  for Generative Large Language Models
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
Aparna Elangovan
Ling Liu
Lei Xu
S. Bodapati
Dan Roth
ELM
82
9
0
28 May 2024
Fast Samplers for Inverse Problems in Iterative Refinement Models
Fast Samplers for Inverse Problems in Iterative Refinement Models
Kushagra Pandey
Ruihan Yang
Stephan Mandt
DiffM
88
5
0
27 May 2024
Mechanistic Interpretability for AI Safety -- A Review
Mechanistic Interpretability for AI Safety -- A Review
Leonard Bereska
E. Gavves
AI4CE
108
155
0
22 Apr 2024
Bias in Generative AI
Bias in Generative AI
Mi Zhou
Vibhanshu Abhishek
Timothy P. Derdenger
Jaymo Kim
Kannan Srinivasan
45
36
0
05 Mar 2024
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based
  Drug Design
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Jiaqi Guan
Xiangxin Zhou
Yuwei Yang
Yu Bao
Jian-wei Peng
Jianzhu Ma
Qiang Liu
Liang Wang
Quanquan Gu
67
74
0
26 Feb 2024
Bayesian Neural Networks with Domain Knowledge Priors
Bayesian Neural Networks with Domain Knowledge Priors
Dylan Sam
Rattana Pukdee
Daniel P. Jeong
Yewon Byun
J. Zico Kolter
BDLUQCV
88
10
0
20 Feb 2024
DE-COP: Detecting Copyrighted Content in Language Models Training Data
DE-COP: Detecting Copyrighted Content in Language Models Training Data
André V. Duarte
Xuandong Zhao
Arlindo L. Oliveira
Lei Li
76
40
0
15 Feb 2024
Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
Luca Beurer-Kellner
Marc Fischer
Martin Vechev
78
44
0
07 Feb 2024
Benchmarking the Fairness of Image Upsampling Methods
Benchmarking the Fairness of Image Upsampling Methods
M. Laszkiewicz
Imant Daunhawer
Julia E. Vogt
Asja Fischer
Johannes Lederer
EGVM
62
4
0
24 Jan 2024
Hallucination is Inevitable: An Innate Limitation of Large Language Models
Hallucination is Inevitable: An Innate Limitation of Large Language Models
Ziwei Xu
Sanjay Jain
Mohan S. Kankanhalli
HILMLRM
142
249
0
22 Jan 2024
Leveraging Large Language Models for NLG Evaluation: Advances and
  Challenges
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges
Zhen Li
Xiaohan Xu
Tao Shen
Can Xu
Jia-Chen Gu
Yuxuan Lai
Chongyang Tao
Shuai Ma
LM&MAELM
94
15
0
13 Jan 2024
Digger: Detecting Copyright Content Mis-usage in Large Language Model
  Training
Digger: Detecting Copyright Content Mis-usage in Large Language Model Training
Haodong Li
Gelei Deng
Yi Liu
Kailong Wang
Yuekang Li
Tianwei Zhang
Yang Liu
Guoai Xu
Guosheng Xu
Haoyu Wang
77
26
0
01 Jan 2024
Retrieval-Augmented Generation for Large Language Models: A Survey
Retrieval-Augmented Generation for Large Language Models: A Survey
Yunfan Gao
Yun Xiong
Xinyu Gao
Kangxiang Jia
Jinliu Pan
Yuxi Bi
Yi Dai
Jiawei Sun
Meng Wang
Haofen Wang
3DVRALM
189
1,776
1
18 Dec 2023
A Survey of Text Watermarking in the Era of Large Language Models
A Survey of Text Watermarking in the Era of Large Language Models
Aiwei Liu
Leyi Pan
Yijian Lu
Jingjing Li
Xuming Hu
Xi Zhang
Lijie Wen
Irwin King
Hui Xiong
Philip S. Yu
WaLM
78
63
0
13 Dec 2023
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language
  Models
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models
Jiaxu Zhao
Meng Fang
Shirui Pan
Wenpeng Yin
Mykola Pechenizkiy
ELM
57
13
0
11 Dec 2023
Precipitation Downscaling with Spatiotemporal Video Diffusion
Precipitation Downscaling with Spatiotemporal Video Diffusion
Prakhar Srivastava
Ruihan Yang
Gavin Kerrigan
Gideon Dresdner
Jeremy McGibbon
Christopher S. Bretherton
Stephan Mandt
DiffM
94
4
0
11 Dec 2023
A Representative Study on Human Detection of Artificially Generated
  Media Across Countries
A Representative Study on Human Detection of Artificially Generated Media Across Countries
Joel Frank
Franziska Herbert
Jonas Ricker
Lea Schonherr
Thorsten Eisenhofer
Asja Fischer
Markus Dürmuth
Thorsten Holz
67
15
0
10 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models
Analyzing and Improving the Training Dynamics of Diffusion Models
Tero Karras
M. Aittala
J. Lehtinen
Janne Hellsten
Timo Aila
S. Laine
118
201
0
05 Dec 2023
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu
Tri Dao
Mamba
146
2,699
0
01 Dec 2023
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
Sadeep Jayasumana
Srikumar Ramalingam
Andreas Veit
Daniel Glasner
Ayan Chakrabarti
Sanjiv Kumar
EGVM
46
147
0
30 Nov 2023
Scalable Extraction of Training Data from (Production) Language Models
Scalable Extraction of Training Data from (Production) Language Models
Milad Nasr
Nicholas Carlini
Jonathan Hayase
Matthew Jagielski
A. Feder Cooper
Daphne Ippolito
Christopher A. Choquette-Choo
Eric Wallace
Florian Tramèr
Katherine Lee
SILM
63
352
0
28 Nov 2023
Calibrated Language Models Must Hallucinate
Calibrated Language Models Must Hallucinate
Adam Tauman Kalai
Santosh Vempala
HILM
63
83
0
24 Nov 2023
On the Calibration of Large Language Models and Alignment
On the Calibration of Large Language Models and Alignment
Chiwei Zhu
Benfeng Xu
Quan Wang
Yongdong Zhang
Zhendong Mao
139
44
0
22 Nov 2023
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
Tianhang Zhang
Lin Qiu
Qipeng Guo
Cheng Deng
Yue Zhang
Zheng Zhang
Cheng Zhou
Xinbing Wang
Luoyi Fu
HILM
111
59
0
22 Nov 2023
A Survey on Hallucination in Large Language Models: Principles,
  Taxonomy, Challenges, and Open Questions
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Lei Huang
Weijiang Yu
Weitao Ma
Weihong Zhong
Zhangyin Feng
...
Qianglong Chen
Weihua Peng
Xiaocheng Feng
Bing Qin
Ting Liu
LRMHILM
126
868
0
09 Nov 2023
Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in
  AlphaZero
Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero
Lisa Schut
Nenad Tomašev
Tom McGrath
Demis Hassabis
Ulrich Paquet
Been Kim
53
36
0
25 Oct 2023
Improved Techniques for Training Consistency Models
Improved Techniques for Training Consistency Models
Yang Song
Prafulla Dhariwal
77
175
0
22 Oct 2023
Assumption violations in causal discovery and the robustness of score
  matching
Assumption violations in causal discovery and the robustness of score matching
Francesco Montagna
Atalanti A. Mastakouri
Elias Eulig
Nicoletta Noceti
Lorenzo Rosasco
Dominik Janzing
Bryon Aragam
Francesco Locatello
OOD
64
18
0
20 Oct 2023
Evaluating the Fairness of Discriminative Foundation Models in Computer
  Vision
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision
Junaid Ali
Matthäus Kleindessner
F. Wenzel
Kailash Budhathoki
Volkan Cevher
Chris Russell
VLM
105
11
0
18 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual
  Generation: A Survey on Causal Generative Modeling
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling
Aneesh Komanduri
Xintao Wu
Yongkai Wu
Feng Chen
CMLOOD
74
9
0
17 Oct 2023
Tokenizer Choice For LLM Training: Negligible or Crucial?
Tokenizer Choice For LLM Training: Negligible or Crucial?
Mehdi Ali
Michael Fromm
Klaudia Thellmann
Richard Rutmann
Max Lübbering
...
Malte Ostendorff
Samuel Weinbach
R. Sifa
Stefan Kesselheim
Nicolas Flores-Herr
62
60
0
12 Oct 2023
Efficient Integrators for Diffusion Generative Models
Efficient Integrators for Diffusion Generative Models
Kushagra Pandey
Maja R. Rudolph
Stephan Mandt
DiffM
50
11
0
11 Oct 2023
Improving the Reliability of Large Language Models by Leveraging
  Uncertainty-Aware In-Context Learning
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning
Yuchen Yang
Houqiang Li
Yanfeng Wang
Yu Wang
49
25
0
07 Oct 2023
Language Models Represent Space and Time
Language Models Represent Space and Time
Wes Gurnee
Max Tegmark
112
159
0
03 Oct 2023
TIGERScore: Towards Building Explainable Metric for All Text Generation
  Tasks
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks
Dongfu Jiang
Yishan Li
Ge Zhang
Wenhao Huang
Bill Yuchen Lin
Wenhu Chen
ALM
72
69
0
01 Oct 2023
Robustness of AI-Image Detectors: Fundamental Limits and Practical
  Attacks
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Mehrdad Saberi
Vinu Sankar Sadasivan
Keivan Rezaei
Aounon Kumar
Atoosa Malemir Chegini
Wenxiao Wang
Soheil Feizi
WIGMAAML
77
45
0
29 Sep 2023
LoRA ensembles for large language model fine-tuning
LoRA ensembles for large language model fine-tuning
Xi Wang
Laurence Aitchison
Maja Rudolph
UQCV
65
36
0
29 Sep 2023
Multimodal Foundation Models: From Specialists to General-Purpose
  Assistants
Multimodal Foundation Models: From Specialists to General-Purpose Assistants
Chunyuan Li
Zhe Gan
Zhengyuan Yang
Jianwei Yang
Linjie Li
Lijuan Wang
Jianfeng Gao
MLLM
171
252
0
18 Sep 2023
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