3 papers
cs.LG2026
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…
cs.AI2025
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…
cs.AI2025
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…