Publications

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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Document Intelligence
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Document Intelligence
  • Adobe Research icon Intelligent Agents & Assistants
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Document Intelligence
  • Adobe Research icon Intelligent Agents & Assistants
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Content Intelligence
  • Adobe Research icon Document Intelligence
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon 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
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Audio
  • Adobe Research icon Natural Language Processing

Publication date: November 7, 2024

CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement

Arxiv

Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra
  • Adobe Research icon Intelligent Agents & Assistants
  • Adobe Research icon Natural Language Processing

Publication date: October 30, 2024

On LLM Augmented AB Experimentation

Causality and Large Models, NeurIPS Workshop

Shiva Shankar, Ritwik Sinha, Madalina Fiterau
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Content Intelligence
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon 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
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon 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
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Human Computer Interaction
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Human Computer Interaction
  • Adobe Research icon Natural Language Processing

Publication date: October 13, 2024

ScrapMap: Interactive Color Layout for Scrap Quilting

ACM Symposium on User Interface Software and Technology (UIST)

Mackenzie Leake, Ross Daly
  • Adobe Research icon Graphics (2D & 3D)
  • Adobe Research icon Human Computer Interaction

Publication date: October 13, 2024

WasteBanned: Supporting Zero Waste Fashion Design with Linked Edits

ACM Symposium on User Interface Software and Technology (UIST)

Ruowang Zhang, Stefanie Mueller, Gilbert Bernstein, Adriana Schulz, Mackenzie Leake
  • Adobe Research icon Human Computer Interaction

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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon 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, Michaƫl Gharbi
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon Graphics (2D & 3D)
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