Φ-Bench: Can Large Language Models Engineer the Infrastructure That Powers Them? Paper • 2609.10226 • Published 4 days ago • 14
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness Paper • 2609.08183 • Published 5 days ago • 403
Unlocking Lossless Speedups in LLMs via Discrete Diffusion Paper • 2609.04010 • Published 10 days ago • 144
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference Paper • 2609.05275 • Published 9 days ago • 21
Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments Paper • 2609.04148 • Published 10 days ago • 292
SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers Paper • 2609.01343 • Published 12 days ago • 104
On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability Paper • 2608.30320 • Published 13 days ago • 59
DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation Paper • 2607.05147 • Published Jul 6 • 49
Don't Retrain, Align: Adapting Autoregressive LMs to Diffusion LMs via Representation Alignment Paper • 2605.06885 • Published May 7 • 1
ParaTempo: Efficient Parallel Reasoning via Temporal Confidence Paper • 2608.16425 • Published 26 days ago • 40
TinyStories: How Small Can Language Models Be and Still Speak Coherent English? Paper • 2305.07759 • Published May 12, 2023 • 48
Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts Paper • 2608.20061 • Published 23 days ago • 46
FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution Paper • 2608.16157 • Published 27 days ago • 109
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning Paper • 2608.09888 • Published Aug 10 • 779