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Publication date: November 16, 2024

An Analysis of Multilingual FActScore

EMNLP 2024

Vu Trong Kim, Michael Krumdick, Varshini Reddy, Franck Dernoncourt, Viet Dac Lai

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: November 16, 2024

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs

EMNLP 2024

Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, David Seunghyun Yoon, Ryan A. Rossi, Trung Bui

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: November 16, 2024

DocEditAgent: Document Structure Editing Via Multimodal LLM Grounding

EMNLP 2024

Manan Suri, Puneet Mathur, Franck Dernoncourt, Rajiv Jain, Vlad Morariu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: November 16, 2024

FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document

EMNLP 2024

Joonho Yang, David Seunghyun Yoon, ByeongJeong Kim, Hwanhee Lee

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: November 16, 2024

PDFTriage: Question Answering over Long, Structured Documents

EMNLP 2024 Industry Track

Jon Saad-Falcon, Joe Barrow, Alexa Siu, Ani Nenkova, David Seunghyun Yoon, Ryan A. Rossi, Franck Dernoncourt

AI & Machine Learning
Document Intelligence
Intelligent Agents & Assistants
Natural Language Processing

Publication date: November 16, 2024

ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning

EMNLP 2024 Demo Track

Hieu Man, Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen

AI & Machine Learning
Document Intelligence
Intelligent Agents & Assistants
Natural Language Processing

Publication date: November 12, 2024

Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution

The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024

Himanshu Maheshwari, Sambaran Bandyopadhyay, Aparna Garimella, Anandhavelu Natarajan

AI & Machine Learning
Content Intelligence
Document Intelligence
Natural Language Processing

Publication date: November 11, 2024

Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition

2024 Conference on Empirical Methods in Natural Language Processing

Pritika Ramu, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan

Natural Language Processing

Publication date: October 29, 2024

Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets

European Conference on Computer Vision (ECCV)

Ishan Rajendrakumar Dave, Fabian Caba Heilbron, Mubarak Shah, Simon Jenni

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: October 27, 2024

SegGuard: Defending Scene Segmentation against Adversarial Patch Attack

International Conference on Image Processing (ICIP)

Tommy Gittings, Steve Schneider, John Collomosse

Content Intelligence

Publication date: October 21, 2024

MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors

CIKM 2024

Nakyeong Yang, Minsung Kim, David Seunghyun Yoon, Joongbo Shin, Kyomin Jung

AI & Machine Learning
Computer Vision, Imaging & Video
Natural Language Processing

Publication date: October 13, 2024

DrawTalking: Building Interactive Worlds by Sketching and Speaking

UIST 2024

Karl Toby Rosenberg, Rubaiat Habib, Li-Yi Wei, Haijun Xia, Ken Perlin

Human Computer Interaction

Publication date: October 13, 2024

How Aligned are Human Chart Takeaways and LLM Predictions? A Case Study on Bar Charts with Varying Layouts

IEEE VIS 2024

Huichen Will Wang, Jane Hoffswell, Sao Myat Thazin Thane, Victor S. Bursztyn, Cindy Xiong Bearfield

AI & Machine Learning
Human Computer Interaction
Natural Language Processing

Publication date: October 13, 2024

Representing Charts as Text for Language Models: An In-Depth Study of Question Answering for Bar Charts

IEEE VIS 2024 (short paper)

Victor S. Bursztyn, Jane Hoffswell, Shunan Guo, Eunyee Koh

AI & Machine Learning
Human Computer Interaction
Natural Language Processing

Publication date: October 4, 2024

TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models

European Conference on Computer Vision (ECCV'24)

Zongze Wu, Nick Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman

AI & Machine Learning
Computer Vision, Imaging & Video
Graphics (2D & 3D)

Publication date: October 3, 2024

Diffusion2GAN: Distilling Diffusion Models into Conditional GANs

European Conference on Computer Vision (ECCV'24)

Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: October 2, 2024

Lazy Diffusion Transformer for Interactive Image Editing

European Conference on Computer Vision (ECCV'24)

Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi

AI & Machine Learning
Computer Vision, Imaging & Video
Graphics (2D & 3D)

Publication date: October 1, 2024

Self-supervised disentangled representation learning of artistic style through Neural Style Transfer

European Conference on Computer Vision (ECCVW) Workshop on Vision and Art (VISART)

Dan Ruta, Gemma Canet Tarres, Alex Black, Andrew Gilbert, John Collomosse

AI & Machine Learning
Computer Vision, Imaging & Video
Content Intelligence

Publication date: October 1, 2024

FineMatch: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction

European Conference on Computer Vision (ECCV)

Hang Hua, Jing Shi, Kushal Kafle, Simon Jenni, Daoan Zhang, John Collomosse, Scott Cohen, Jiebo Liu

AI & Machine Learning
Content Intelligence

Publication date: October 1, 2024

Thinking Outside the BBox: Unconstrained Generative Object Compositing

European Conference on Computer Vision (ECCV)

Gemma Canet Tarres, Zhe Lin, Zhifei Zhang, Jianming Zhang, Yizhe Song, Dan Ruta, Andrew Gilbert, John Collomosse, Soo Ye Kim

AI & Machine Learning
Computer Vision, Imaging & Video

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