3 papers
cs.AI2026
Tiny Recursive Reasoning with Mamba-2 Attention Hybrid
Wenlong Wang, Fergal Reid
Recent work on recursive reasoning models like TRM demonstrates that tiny networks (7M parameters) can achieve strong performance on abstract reasoning tasks through latent recursi…
cs.AI2026
TopoBench: Benchmarking LLMs on Hard Topological Reasoning
Mayug Maniparambil, Nils Hoehing, Janak Kapuriya +5
Solving topological grid puzzles requires reasoning over global spatial invariants such as connectivity, loop closure, and region symmetry and remains challenging for even the most…
cs.LG2026
Low-Rank Key Value Attention
James O'Neill, Robert Clancy, Mariia Matskevichus +1
The key-value (KV) cache is a primary memory bottleneck in Transformers. We propose Low-Rank Key-Value (LRKV) attention, which reduces KV cache memory by exploiting redundancy acro…