The SESAME MED System. - Murat Akbacak; Robert C. Bolles; J. Brian Burns; Mark Elliot; Aaron Heller; James A. Herson; Gregory K. Myers; Ramesh Nallapati; Eric Yeh; Dennis C. Koelma; Xirong Li 001; Masoud Mazloom; et al. (TRECVID, 2011)

The 2012 SESAME Multimedia Event Detection (MED) System. - Murat Akbacak; Robert C. Bolles; J. Brian Burns; Mark Elliot; Aaron Heller; James A. Herson; Gregory K. Myers; Ramesh Nallapati; Stephanie Pancoast; Julien van Hout; Eric Yeh; AmirHossein Habibian; et al. (TRECVID, 2012)

ACTIVE: Activity Concept Transitions in Video Event Classification. - Chen Sun 002; Ram Nevatia (ICCV, 2013)

The 2013 SESAME Multimedia Event Detection and Recounting System. - Robert C. Bolles; J. Brian Burns; James A. Herson; Gregory K. Myers; Stephanie Pancoast; Julien van Hout; Wen Wang 001; Julie Wong; Eric Yeh; AmirHossein Habibian; Dennis C. Koelma; Zhenyang Li; et al. (TRECVID, 2013)

Large-scale web video event classification by use of Fisher Vectors. - Chen Sun 002; Ram Nevatia (WACV, 2013)

DISCOVER: Discovering Important Segments for Classification of Video Events and Recounting. - Chen Sun 002; Ramakant Nevatia (CVPR, 2014)

Semantic Aware Video Transcription Using Random Forest Classifiers. - Chen Sun 002; Ram Nevatia (ECCV (1), 2014)

Late fusion and calibration for multimedia event detection using few examples. - Julien van Hout; Eric Yeh; Dennis C. Koelma; Cees G. M. Snoek; Chen Sun 002; Ramakant Nevatia; Julie Wong; Gregory K. Myers (ICASSP, 2014)

ISOMER: Informative Segment Observations for Multimedia Event Recounting. - Chen Sun 002; J. Brian Burns; Ram Nevatia; Cees Snoek; Bob Bolles; Gregory K. Myers; Wen Wang 001; Eric Yeh (ICMR, 2014)

Evaluating multimedia features and fusion for example-based event detection. - Gregory K. Myers; Ramesh Nallapati; Julien van Hout; Stephanie Pancoast; Ramakant Nevatia; Chen Sun 002; AmirHossein Habibian; Dennis C. Koelma; Koen E. A. van de Sande; Arnold W. M. Smeulders; Cees G. M. Snoek (Mach. Vis. Appl., 2014)

Evaluating Multimedia Features and Fusion for Example-Based Event Detection. - Gregory K. Myers; Cees G. M. Snoek; Ramakant Nevatia; Ramesh Nallapati; Julien van Hout; Stephanie Pancoast; Chen Sun 002; AmirHossein Habibian; Dennis C. Koelma; Koen E. A. van de Sande; Arnold W. M. Smeulders (Fusion in Computer Vision, 2014)

Automatic Concept Discovery from Parallel Text and Visual Corpora. - Chen Sun 002; Chuang Gan 001; Ram Nevatia (ICCV, 2015)

Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images. - Chen Sun 002; Sanketh Shetty; Rahul Sukthankar; Ram Nevatia (ACM Multimedia, 2015)

ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks. - Chen Sun 002; Manohar Paluri; Ronan Collobert; Ram Nevatia; Lubomir D. Bourdev (CVPR, 2016)

Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames. - Chuang Gan 001; Chen Sun 002; Lixin Duan; Boqing Gong (ECCV (3), 2016)

ACD: Action Concept Discovery from Image-Sentence Corpora. - Jiyang Gao; Chen Sun 002; Ram Nevatia (ICMR, 2016)

DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos. - Chuang Gan 001; Chen Sun 002; Ram Nevatia (AAAI, 2017)

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. - Jonathan Huang; Vivek Rathod; Chen Sun 002; Menglong Zhu; Anoop Korattikara; Alireza Fathi; Ian Fischer; Zbigniew Wojna; Yang Song 009; Sergio Guadarrama; Kevin Murphy 002 (CVPR, 2017)

VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation. - Chuang Gan 001; Yandong Li; Haoxiang Li; Chen Sun 002; Boqing Gong (ICCV, 2017)

TALL: Temporal Activity Localization via Language Query. - Jiyang Gao; Chen Sun 002; Zhenheng Yang; Ram Nevatia (ICCV, 2017)

TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals. - Jiyang Gao; Zhenheng Yang; Chen Sun 002; Kan Chen; Ram Nevatia (ICCV, 2017)

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. - Chen Sun 002; Abhinav Shrivastava; Saurabh Singh; Abhinav Gupta 001 (ICCV, 2017)

Complex Event Recognition from Images with Few Training Examples. - Unaiza Ahsan; Chen Sun 002; James Hays; Irfan A. Essa (WACV, 2017)

AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions. - Chunhui Gu; Chen Sun 002; Sudheendra Vijayanarasimhan; Caroline Pantofaru; David A. Ross; George Toderici; Yeqing Li; Susanna Ricco; Rahul Sukthankar; Cordelia Schmid; Jitendra Malik (CoRR, 2017)

Rethinking Spatiotemporal Feature Learning For Video Understanding. - Saining Xie; Chen Sun 002; Jonathan Huang; Zhuowen Tu; Kevin Murphy 002 (CoRR, 2017)

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. - Yin Cui; Yang Song 009; Chen Sun 002; Andrew Howard 002; Serge J. Belongie (CVPR, 2018)

AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. - Chunhui Gu; Chen Sun 002; David A. Ross; Carl Vondrick; Caroline Pantofaru; Yeqing Li; Sudheendra Vijayanarasimhan; George Toderici; Susanna Ricco; Rahul Sukthankar; Cordelia Schmid; Jitendra Malik (CVPR, 2018)

The INaturalist Species Classification and Detection Dataset. - Grant Van Horn; Oisin Mac Aodha; Yang Song 009; Yin Cui; Chen Sun 002; Alexander Shepard; Hartwig Adam; Pietro Perona; Serge J. Belongie (CVPR, 2018)

Actor-Centric Relation Network. - Chen Sun 002; Abhinav Shrivastava; Carl Vondrick; Kevin Murphy 002; Rahul Sukthankar; Cordelia Schmid (ECCV (11), 2018)

Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. - Saining Xie; Chen Sun 002; Jonathan Huang; Zhuowen Tu; Kevin Murphy 002 (ECCV (15), 2018)

DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks. - Unaiza Ahsan; Chen Sun 002; Irfan A. Essa (CoRR, 2018)

Inferring Context from Pixels for Multimodal Image Classification. - Manan Shah; Krishnamurthy Viswanathan; Chun-Ta Lu; Ariel Fuxman; Zhen Li 028; Aleksei Timofeev; Chao Jia; Chen Sun 002 (CIKM, 2019)

Relational Action Forecasting. - Chen Sun 002; Abhinav Shrivastava; Carl Vondrick; Rahul Sukthankar; Kevin Murphy 002; Cordelia Schmid (CVPR, 2019)

Composing Text and Image for Image Retrieval - an Empirical Odyssey. - Nam Vo; Lu Jiang 004; Chen Sun 002; Kevin Murphy 002; Li-Jia Li 001; Li Fei-Fei 001; James Hays (CVPR, 2019)

VideoBERT: A Joint Model for Video and Language Representation Learning. - Chen Sun 002; Austin Myers; Carl Vondrick; Kevin Murphy 002; Cordelia Schmid (ICCV, 2019)

Stochastic Prediction of Multi-Agent Interactions from Partial Observations. - Chen Sun 002; Per Karlsson; Jiajun Wu 001; Joshua B. Tenenbaum; Kevin Murphy 002 (ICLR (Poster), 2019)

Unsupervised Discovery of Parts, Structure, and Dynamics. - Zhenjia Xu; Zhijian Liu; Chen Sun 002; Kevin Murphy 002; William T. Freeman; Joshua B. Tenenbaum; Jiajun Wu 001 (ICLR (Poster), 2019)

Unsupervised learning of object structure and dynamics from videos. - Matthias Minderer; Chen Sun 002; Ruben Villegas; Forrester Cole; Kevin P. Murphy; Honglak Lee (NeurIPS, 2019)

Contrastive Bidirectional Transformer for Temporal Representation Learning. - Chen Sun 002; Fabien Baradel; Kevin Murphy 002; Cordelia Schmid (CoRR, 2019)

TNT: Target-driven Trajectory Prediction. - Hang Zhao; Jiyang Gao; Tian Lan; Chen Sun 002; Benjamin Sapp; Balakrishnan Varadarajan; Yue Shen; Yi Shen; Yuning Chai; Cordelia Schmid; Congcong Li; Dragomir Anguelov (CoRL, 2020)

VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation. - Jiyang Gao; Chen Sun 002; Hang Zhao; Yi Shen; Dragomir Anguelov; Congcong Li; Cordelia Schmid (CVPR, 2020)

Speech2Action: Cross-Modal Supervision for Action Recognition. - Arsha Nagrani; Chen Sun 002; David Ross 001; Rahul Sukthankar; Cordelia Schmid; Andrew Zisserman (CVPR, 2020)

Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. - Anurag Arnab; Chen Sun 002; Arsha Nagrani; Cordelia Schmid (ECCV (10), 2020)

Multi-modal Transformer for Video Retrieval. - Valentin Gabeur; Chen Sun 002; Karteek Alahari; Cordelia Schmid (ECCV (4), 2020)

What Makes for Good Views for Contrastive Learning? - Yonglong Tian; Chen Sun 002; Ben Poole; Dilip Krishnan; Cordelia Schmid; Phillip Isola (NeurIPS, 2020)

D3D: Distilled 3D Networks for Video Action Recognition. - Jonathan C. Stroud; David A. Ross; Chen Sun 002; Jia Deng 001; Rahul Sukthankar (WACV, 2020)

Learning Video Representations from Textual Web Supervision. - Jonathan C. Stroud; David A. Ross; Chen Sun 002; Jia Deng 001; Rahul Sukthankar; Cordelia Schmid (CoRR, 2020)

The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020). - Samuel Albanie; Yang Liu 105; Arsha Nagrani; Antoine Miech; Ernesto Coto; Ivan Laptev; Rahul Sukthankar; Bernard Ghanem; Andrew Zisserman; Valentin Gabeur; Chen Sun 002; Karteek Alahari; et al. (CoRR, 2020)

HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. - Lu Mi; Hang Zhao; Charlie Nash; Xiaohan Jin; Jiyang Gao; Chen Sun 002; Cordelia Schmid; Nir Shavit; Yuning Chai; Dragomir Anguelov (CVPR, 2021)

Does Vision-and-Language Pretraining Improve Lexical Grounding? - Tian Yun 001; Chen Sun 002; Ellie Pavlick (EMNLP (Findings), 2021)

Composable Augmentation Encoding for Video Representation Learning. - Chen Sun 002; Arsha Nagrani; Yonglong Tian; Cordelia Schmid (ICCV, 2021)

ViViT: A Video Vision Transformer. - Anurag Arnab; Mostafa Dehghani 001; Georg Heigold; Chen Sun 002; Mario Lucic; Cordelia Schmid (ICCV, 2021)

Unified Graph Structured Models for Video Understanding. - Anurag Arnab; Chen Sun 002; Cordelia Schmid (ICCV, 2021)

Learning Temporal Dynamics from Cycles in Narrated Video. - Dave Epstein; Jiajun Wu 001; Cordelia Schmid; Chen Sun 002 (ICCV, 2021)

DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets. - Junru Gu; Chen Sun 002; Hang Zhao (ICCV, 2021)

Episodic Transformer for Vision-and-Language Navigation. - Alexander Pashevich; Cordelia Schmid; Chen Sun 002 (ICCV, 2021)

Attention Bottlenecks for Multimodal Fusion. - Arsha Nagrani; Shan Yang; Anurag Arnab; Aren Jansen; Cordelia Schmid; Chen Sun 002 (NeurIPS, 2021)

Local Metrics for Multi-Object Tracking. - Jack Valmadre; Alex Bewley; Jonathan Huang; Chen Sun 002; Cristian Sminchisescu; Cordelia Schmid (CoRR, 2021)

Multiview Transformers for Video Recognition. - Shen Yan; Xuehan Xiong; Anurag Arnab; Zhichao Lu; Mi Zhang 002; Chen Sun 002; Cordelia Schmid (CVPR, 2022)

Learning Audio-Video Modalities from Image Captions. - Arsha Nagrani; Paul Hongsuck Seo; Bryan Seybold; Anja Hauth; Santiago Manen; Chen Sun 002; Cordelia Schmid (ECCV (14), 2022)

TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency. - Medhini Narasimhan; Arsha Nagrani; Chen Sun 002; Michael Rubinstein; Trevor Darrell; Anna Rohrbach; Cordelia Schmid (ECCV (34), 2022)

AVATAR: Unconstrained Audiovisual Speech Recognition. - Valentin Gabeur; Paul Hongsuck Seo; Arsha Nagrani; Chen Sun 002; Karteek Alahari; Cordelia Schmid (INTERSPEECH, 2022)

Do Trajectories Encode Verb Meaning? - Dylan Ebert; Chen Sun 002; Ellie Pavlick (NAACL-HLT, 2022)

Masking Modalities for Cross-modal Video Retrieval. - Valentin Gabeur; Arsha Nagrani; Chen Sun 002; Karteek Alahari; Cordelia Schmid (WACV, 2022)

Do Vision-Language Pretrained Models Learn Primitive Concepts? - Tian Yun 001; Usha Bhalla; Ellie Pavlick; Chen Sun 002 (CoRR, 2022)

Beyond Transfer Learning: Co-finetuning for Action Localisation. - Anurag Arnab; Xuehan Xiong; Alexey A. Gritsenko; Rob Romijnders; Josip Djolonga; Mostafa Dehghani 001; Chen Sun 002; Mario Lucic; Cordelia Schmid (CoRR, 2022)

TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency. - Medhini Narasimhan; Arsha Nagrani; Chen Sun 002; Michael Rubinstein; Trevor Darrell; Anna Rohrbach; Cordelia Schmid (CoRR, 2022)

Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Zirui Wang; Kai-Wei Chang; Yizhou Sun; Cordelia Schmid; David A. Ross; Alireza Fathi (CVPR, 2023)

How can objects help action recognition? - Xingyi Zhou; Anurag Arnab; Chen Sun 002; Cordelia Schmid (CVPR, 2023)

Analyzing Modular Approaches for Visual Question Decomposition. - Apoorv Khandelwal 001; Ellie Pavlick; Chen Sun 002 (EMNLP, 2023)

Emergence of Abstract State Representations in Embodied Sequence Modeling. - Tian Yun 001; Zilai Zeng; Kunal Handa; Ashish V. Thapliyal; Bo Pang 001; Ellie Pavlick; Chen Sun 002 (EMNLP, 2023)

Does Visual Pretraining Help End-to-End Reasoning? - Chen Sun 002; Calvin Luo; Xingyi Zhou; Anurag Arnab; Cordelia Schmid (NeurIPS, 2023)

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Kai-Wei Chang; Yizhou Sun; David Ross 001; Cordelia Schmid; Alireza Fathi (NeurIPS, 2023)

Goal-Conditioned Predictive Coding for Offline Reinforcement Learning. - Zilai Zeng; Ce Zhang 010; Shijie Wang; Chen Sun 002 (NeurIPS, 2023)

Steerable Equivariant Representation Learning. - Sangnie Bhardwaj; Willie McClinton; Tongzhou Wang 001; Guillaume Lajoie; Chen Sun 002; Phillip Isola; Dilip Krishnan (CoRR, 2023)

Comparing Trajectory and Vision Modalities for Verb Representation. - Dylan Ebert; Chen Sun 002; Ellie Pavlick (CoRR, 2023)

AVIS: Autonomous Visual Information Seeking with Large Language Models. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Kai-Wei Chang; Yizhou Sun; David A. Ross; Cordelia Schmid; Alireza Fathi (CoRR, 2023)

Goal-Conditioned Predictive Coding as an Implicit Planner for Offline Reinforcement Learning. - Zilai Zeng; Ce Zhang 010; Shijie Wang; Chen Sun 002 (CoRR, 2023)

AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? - Qi Zhao; Ce Zhang 010; Shijie Wang; Changcheng Fu; Nakul Agarwal; Kwonjoon Lee; Chen Sun 002 (CoRR, 2023)

Towards A Unified Neural Architecture for Visual Recognition and Reasoning. - Calvin Luo; Boqing Gong; Ting Chen; Chen Sun 002 (CoRR, 2023)

Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains. - Rohan Myer Krishnan; Zitian Tang; Zhiqiu Yu; Chen Sun 002 (CoRR, 2023)

Do Vision-Language Pretrained Models Learn Composable Primitive Concepts? - Tian Yun 001; Usha Bhalla; Ellie Pavlick; Chen Sun 002 (Trans. Mach. Learn. Res., 2023)

End-to-End Spatio-Temporal Action Localisation with Video Transformers. - Alexey A. Gritsenko; Xuehan Xiong; Josip Djolonga; Mostafa Dehghani 001; Chen Sun 002; Mario Lucic; Cordelia Schmid; Anurag Arnab (CVPR, 2024)

Pixel Aligned Language Models. - Jiarui Xu; Xingyi Zhou; Shen Yan; Xiuye Gu; Anurag Arnab; Chen Sun 002; Xiaolong Wang 004; Cordelia Schmid (CVPR, 2024)

Vamos: Versatile Action Models for Video Understanding. - Shijie Wang; Qi Zhao; Minh Quan Do; Nakul Agarwal; Kwonjoon Lee; Chen Sun 002 (ECCV (12), 2024)

AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? - Qi Zhao; Shijie Wang; Ce Zhang 010; Changcheng Fu; Minh Quan Do; Nakul Agarwal; Kwonjoon Lee; Chen Sun 002 (ICLR, 2024)

Self-Correcting Self-Consuming Loops for Generative Model Training. - Nate Gillman; Michael Freeman; Daksh Aggarwal; Chia-Hong Hsu; Calvin Luo; Yonglong Tian; Chen Sun 002 (ICML, 2024)

Potential Based Diffusion Motion Planning. - Yunhao Luo 001; Chen Sun 002; Joshua B. Tenenbaum; Yilun Du (ICML, 2024)

Do Music Generation Models Encode Music Theory? - Megan Wei; Michael Freeman; Chris Donahue; Chen Sun 002 (ISMIR, 2024)

Text-Aware Diffusion for Policy Learning. - Calvin Luo; Mandy He; Zilai Zeng; Chen Sun 002 (NeurIPS, 2024)

Object-centric Video Representation for Long-term Action Anticipation. - Ce Zhang 010; Changcheng Fu; Shijie Wang; Nakul Agarwal; Kwonjoon Lee; Chiho Choi; Chen Sun 002 (WACV, 2024)

Do Pre-trained Vision-Language Models Encode Object States? - Kaleb Newman; Shijie Wang; Yuan Zang; David Heffren; Chen Sun 002 (CoRR, 2024)

Fourier Head: Helping Large Language Models Learn Complex Probability Distributions. - Nate Gillman; Daksh Aggarwal; Michael Freeman; Saurabh Singh; Chen Sun 002 (CoRR, 2024)

$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources. - Apoorv Khandelwal 001; Tian Yun 001; Nihal V. Nayak; Jack Merullo; Stephen H. Bach; Chen Sun 002; Ellie Pavlick (CoRR, 2024)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Carl Doersch; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; et al. (CoRR, 2024)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; Andrew Owens; et al. (CVPR, 2025)

MotiF: Making Text Count in Image Animation with Motion Focal Loss. - Shijie Wang; Samaneh Azadi; Rohit Girdhar; Saketh Rambhatla; Chen Sun 002; Xi Yin 001 (CVPR, 2025)

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. - Lijie Fan; Tianhong Li; Siyang Qin; Yuanzhen Li; Chen Sun 002; Michael Rubinstein; Deqing Sun; Kaiming He; Yonglong Tian (ICLR, 2025)

Fourier Head: Helping Large Language Models Learn Complex Probability Distributions. - Nate Gillman; Daksh Aggarwal; Michael Freeman; Chen Sun 002 (ICLR, 2025)

Solving New Tasks by Adapting Internet Video Knowledge. - Calvin Luo; Zilai Zeng; Yilun Du; Chen Sun 002 (ICLR, 2025)

Dense Video Object Captioning from Disjoint Supervision. - Xingyi Zhou; Anurag Arnab; Chen Sun 002; Cordelia Schmid (ICLR, 2025)

Learning Visual Grounding from Generative Vision and Language Model. - Shijie Wang; Dahun Kim; Ali Taalimi; Chen Sun 002; Weicheng Kuo (WACV, 2025)

Pre-trained Vision-Language Models Learn Discoverable Visual Concepts. - Yuan Zang; Tian Yun 001; Hao Tan 002; Trung Bui; Chen Sun 002 (Trans. Mach. Learn. Res., 2025)

Unified Autoregressive Visual Generation and Understanding with Continuous Tokens. - Lijie Fan; Luming Tang; Siyang Qin; Tianhong Li; Xuan Yang; Siyuan Qiao; Andreas Steiner 001; Chen Sun 002; Yuanzhen Li; Tao Zhu; Michael Rubinstein; Michalis Raptis; et al. (CoRR, 2025)

How Can Objects Help Video-Language Understanding? - Zitian Tang; Shijie Wang; Junho Cho; Jaewook Yoo; Chen Sun 002 (CoRR, 2025)

Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals. - Nate Gillman; Charles Herrmann; Michael Freeman; Daksh Aggarwal; Evan Luo; Deqing Sun; Chen Sun 002 (CoRR, 2025)

Self-Adapting Improvement Loops for Robotic Learning. - Calvin Luo; Zilai Zeng; Mingxi Jia; Yilun Du; Chen Sun 002 (CoRR, 2025)

MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos. - Yuan Zang; Hao Tan 002; Seunghyun Yoon 002; Franck Dernoncourt; Jiuxiang Gu; Kushal Kafle; Chen Sun 002; Trung Bui (CoRR, 2025)

What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models. - Tian Yun 001; Chen Sun 002; Ellie Pavlick (CoRR, 2025)