January Papers: Conditional Memories for LMs, Audio-Visual FMs, and Batch Size Schedulers
Welcome to the first edition of our Paper of the Month newsletter for 2026!
Recent Posts
December Papers: MoE, Fact-storing and Byteifying Language Models
Despite the holiday season and the busy NeurIPS period, December closed the year with set of insightful papers. Our team reviewed the following three papers:
November Papers: Perspectives on efficiency
November is back to a favourite topic of ours: efficiency. We reviewed three of our favorite papers looking on LLM efficiency from different angles:
Why Graph Topology Matters: Insights from Applications in Drug Discovery
Knowledge Graphs in Drug Discovery Repurposing existing drugs to treat diseases beyond what they were originally designed for can be a way to identify new di...
October Papers: Fast and Smart Language Models
October was packed with insights into making language models faster and smarter. We reviewed four of our favorite papers for you in detail: