5 papers
ProductConsistency: Improving Product Identity Preservation in Instruction-Based Image Editing via SFT and RL
Mukund Khanna, Raj Singh Yadav, Kunal Singh
Recent advances in instruction-based image editing have enabled models to perform complex visual edits from natural language instructions. However, in product-centric scenarios whe…
Mixture of Chapters: Scaling Learnt Memory in Transformers
Tasmay Pankaj Tibrewal, Pritish Saha, Ankit Meda +2
Transformers lack an explicit architectural mechanism for storing and organizing knowledge acquired during training. We introduce learnable sparse memory banks: a set of latent tok…
Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval and Synthesis for SLMs
Shreyas Singh, Kunal Singh, Pradeep Moturi
Tool-integrated reasoning has emerged as a key focus for enabling agentic applications. Among these, DeepResearch Agents have gained significant attention for their strong performa…
SBSC: Step-By-Step Coding for Improving Mathematical Olympiad Performance
Kunal Singh, Ankan Biswas, Sayandeep Bhowmick +2
We propose Step-by-Step Coding (SBSC): a multi-turn math reasoning framework that enables Large Language Models (LLMs) to generate sequence of programs for solving Olympiad level m…
TRISHUL: Towards Region Identification and Screen Hierarchy Understanding for Large VLM based GUI Agents
Kunal Singh, Shreyas Singh, Mukund Khanna
Recent advancements in Large Vision Language Models (LVLMs) have enabled the development of LVLM-based Graphical User Interface (GUI) agents under various paradigms. Training-based…