Adobe Research » Publications

Publication date: January 28, 2025

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion

Arxiv

Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang

Intelligent Agents & Assistants
Natural Language Processing

Publication date: January 23, 2025

GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration

arXiv

Yue Fan, Handong Zhao, Ruiyi Zhang, Yu Shen, Xin Eric Wang, Gang Wu

AI & Machine Learning
Intelligent Agents & Assistants
Natural Language Processing

Publication date: January 19, 2025

Federated Retrieval Augmented Generation for Multi-Product Question Answering

COLING

Parshin Shojaee, Sai Sree Harsha, Dan Luo, Akash Maharaj, Tong Yu, Yunyao Li

AI & Machine Learning
Intelligent Agents & Assistants
Natural Language Processing

Publication date: January 19, 2025

A Flash in the Pan: Better Prompting Strategies to Deploy Out-of-the-Box LLMs as Conversational Recommendation Systems

International Conference on Computational Linguistics (COLING)

Gustavo Adolpho Lucas de Carvalho, Simon Benigeri, Jennifer Healey, Victor S. Bursztyn, David Demeter, Lawrence Birnbaum

Natural Language Processing

Publication date: December 16, 2024

Uncertainty-aware Fine-tuning of Segmentation Foundation Models

Proceedings of the 38th International Conference on Neural Information Processing Systems (NeurIPS 2024)

Kangning Liu, Brian Price, Jason Kuen, Yifei Fan, Zijun Wei, Luis Figueroa, Krzysztof Geras, Carlos Fernandez-Granda

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: December 14, 2024

Copiloting Creative 3D Scene Modeling and Visualization with Generative Agents

Neural Information Processing Systems (NeurIPS)

Stefano Petrangeli, Yu Shen, Gang Wu, Matheus Gadelha, Cuong Nguyen, Petrangeli

AI & Machine Learning
AR, VR & 360 Photography
Intelligent Agents & Assistants

Publication date: December 11, 2024

Thinking Forward: Memory-Efficient Federated Finetuning of Language Models

The 38th Annual Conference on Neural Information Processing Systems (NeurIPS)

Kunjal Panchal, Nisarg Parikh, Sunav Choudhary, Lijun Zhang, Yuriy Brun, Hui Guan

AI & Machine Learning
Systems & Languages

Publication date: December 10, 2024

ActAnywhere: Subject-Aware Video Background Generation

Neural Information Processing Systems (NeurIPS)

Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang, Krishna Kumar Singh, Yang Zhou, Leonidas J. Guibas, Jimei Yang

Computer Vision, Imaging & Video
Content Intelligence

Publication date: December 10, 2024

Calibrating Reasoning in Language Models with Internal Consistency

NeurIPS

Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li

AI & Machine Learning
Intelligent Agents & Assistants
Natural Language Processing

Publication date: December 9, 2024

Improved Distribution Matching Distillation for Fast Image Synthesis

NeurIPS 2024

Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman

Oral

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: December 3, 2024

Compositional Neural Textures

SIGGRAPH Asia 2024

Peihan Tu, Li-Yi Wei, Matthias Zwicker

AI & Machine Learning
Graphics (2D & 3D)

Publication date: December 2, 2024

Direct Manipulation of Analytic Implicit Surfaces

SIGGRAPH Asia 2024

Marzia Riso, Élie Michel, Axel Paris, Valentin Deschaintre, Mathieu Gaillard, Fabio Pellacini

Best Paper Award - Honorable Mention

Graphics (2D & 3D)

Publication date: December 2, 2024

Procedural Material Generation with Reinforcement Learning

SIGGRAPH Asia 2024

Beichen Li, Yiwei Hu, Paul Guerrero, Milos Hasan, Liang Shi, Valentin Deschaintre, Wojciech Matusik

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

Publication date: December 1, 2024

DMesh: A Differentiable Representation for General Meshes

The Thirty-Eighth Annual Conference on Neural Information Processing Systems

Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou

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

Publication date: November 19, 2024

Unsteady Streamline Synthesis

SIGGRAPH Asia 2024 Technical Communications

Chen-Yuan Hsu, Li-Yi Wei

Graphics (2D & 3D)

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

AI & Machine Learning
Document Intelligence
Natural Language Processing

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

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