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Publication date: December 1, 2024

3D Reconstruction of Interacting Multi-Person in Clothing from a Single Image

IEEE Winter Conference on Applications of Computer Vision (WACV) 2024

Junuk Cha, Hansol Lee, Jaewon Kim, Bao Truong, Seungryul Baek, Jae Shin Yoon

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

Publication date: November 16, 2024

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities

Empirical Methods in Natural Language Processing Conference (ENMLP)

Sreyan Ghosh, Sonal Kumar, Ashish Seth, Chandra Kiran Reddy Evuru, Utkarsh Tyagi, S Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha

Oral Paper (Top 5%)

AI & Machine Learning
Audio
Natural Language Processing

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 16, 2024

HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims

EMNLP 2024 Workshop on Fact Extraction and VERification (FEVER)

Yejun Yoon, Jaeyoon Jung, David Seunghyun Yoon, Kunwoo Park

Won 2nd place at the main challenge

AI & Machine Learning
Document Intelligence
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 12, 2024

Advancing Vision-Language Models with Adapter Ensemble Strategies

EMNLP

Yue Bai, Handong Zhao, Zhe Lin, Ajinkya Kale, Jiuxiang Gu, Tong Yu, Sungchul Kim, Yun Fu

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

Publication date: November 10, 2024

Augment, Drop & Swap: Improving Diversity in LLM Captions for Efficient Music-Text Representation Learning

International Society for Music Information Retrieval Conference (ISMIR)

Ilaria Manco, Justin Salamon, Oriol Nieto

AI & Machine Learning
Audio
Natural Language Processing

Publication date: November 10, 2024

DITTO-2: Distilled Diffusion Inference Time T-Optimization for Music Generation

International Society of Music Information Retrieval (ISMIR)

Zachary Novack, Julian McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan

AI & Machine Learning
Audio

Publication date: October 30, 2024

On LLM Augmented AB Experimentation

Causality and Large Models, NeurIPS Workshop

Shiva Shankar, Ritwik Sinha, Madalina Fiterau

AI & Machine Learning
Content Intelligence
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 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

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

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