Search

Adobe Media and Data Science Research (MDSR) Laboratory
Adobe Media and Data Science Research (MDSR) Laboratory
  • News
  • Publications
  • People
  • Join us!
  • Collaborators
Social Agents: Collective Intelligence Improves LLM Predictions
In human society, collective decision making has often outperformed the judgment of individuals. Classic examples range from estimating …
Aanisha Bhattacharyya, Abhilekh Borah, Yaman Kumar Singla, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
PDF Cite
Social Agents: Collective Intelligence Improves LLM Predictions
ALPHA: Action-Based Learning for Pluralistic Human Alignment in Large Language Models
Large language models are widely used, but aligning them with societal values remains challenging. Current approaches often rely on …
Aanisha Bhattacharyya, Susmit Aggarwal, Yaman Kumar Singla, Tarun Menta, Nikitha SR, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
PDF Code Dataset Project Poster
ALPHA: Action-Based Learning for Pluralistic Human Alignment in Large Language Models
BrandFusion: Aligning Image Generation with Brand Styles
While recent text-to-image models excel at generating realistic content, they struggle to capture the nuanced visual characteristics …
Parul, Varun Khurana, Yaman Kumar Singla, Balaji Krishnamurthy, Abhinav Dhall
PDF Cite
BrandFusion: Aligning Image Generation with Brand Styles
SPRO: Improving Image Generation via Self-Play
Recent advances in diffusion models have dramatically improved image fidelity and diversity. However, aligning these models with …
Ritika Jha, Aanisha Bhattacharyya, Yaman Kumar Singla, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
PDF Cite Project
SPRO: Improving Image Generation via Self-Play
Evaluating Variance in Visual Question Answering Benchmarks
Multimodal large language models (MLLMs) have emerged as powerful tools for visual question answering (VQA), enabling reasoning and …
Nikitha SR
PDF
HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs
The integration of high-resolution image features in modern multimodal large language models has demonstrated significant improvements …
Nikitha SR, Aradhya Neeraj Mathur, Tarun Ram Menta, Rishabh Jain, Mausoom Sarkar
PDF
HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
LLMs such as GPT-4 have shown a remarkable ability to solve complex questions by generating step-by-step rationales. Prior works have …
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy
PDF Cite Code
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
EOPose: Exemplar-based object reposing using Generalized Pose Correspondences
Reposing generic objects without the use of 3D models poses a significant challenge due to the absence of a standardized pose …
Sarthak Mehrotra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy, Mausoom Sarkar
PDF
EOPose: Exemplar-based object reposing using Generalized Pose Correspondences
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment
Numerous pose-guided human editing methods have been explored by the vision community due to their extensive practical applications. …
Sohan Patnaik, Rishabh Jain, Balaji Krishnamurthy, Mausoom Sarkar
PDF Cite Project
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment
LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
Communication is defined as “Who says what to whom with what effect”. A message from a communicator generates downstream …
Somesh Singh, S I Harini, Yaman Kumar Singla, Veeky Baths, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
PDF Cite
LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
  • »

© 2025 Adobe. All rights reserved.

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.

Cite
Copy Download