Thought-Level Beam Search for Reasoning
This paper targets inefficient test-time compute scaling in large reasoning models, where independent sampling wastes resources and naive pruning fails…
This paper targets inefficient test-time compute scaling in large reasoning models, where independent sampling wastes resources and naive pruning fails…
SKILLER addresses the model-mismatch problem, where reusable skills designed around powerful frontier models fail when deployed on smaller, cheaper language…
Maglev proposes a way for transformers to maintain persistent, token-wise memory while keeping both inference cost bounded and training parallelizable.…
LycheeMemory V2 targets the cost of maintaining long-term memory in long-horizon LLM agents, replacing conventional turn-by-turn memory consolidation with semantic…
This paper studies why large language models keep generating long, expensive reasoning chains on problems beyond their real capability, producing…
This case study reports on using an AI coding agent to carry out a large-scale architectural refactor of a 717,000-line…
This study investigates whether purely rhetorical changes to a scientific manuscript — with the underlying content held constant — can…
Intern-S2-Preview is a family of foundation models built for multimodal scientific reasoning and long-horizon agentic tasks. Its training pipeline combines…
This write-up documents a training experiment pushing a 0.9-million-parameter language model to a token-per-parameter ratio of roughly 222,000:1 — far…
Cloudflare introduced Kitesurf, a browser engine built from scratch in Rust and compiled to WebAssembly to run entirely inside Cloudflare…
Cloudflare detailed the internal AI engineering infrastructure it built for its own workforce of 3,683 employees, using its own products…
Engineer Subhadip Mitra lays out a hierarchical framework for understanding AI model internals, moving from behavioral output analysis through attention…