Category: Paper Review
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Mamba-2 vs Mamba vs Transformer: Long Range Arena Results
Mamba-2 claims 8x faster training than Mamba while matching accuracy on 16K-token tasks. Here's what the Long Range Arena benchmark reveals.
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LoRA vs Adapter vs Prefix Tuning: PEFT Memory Comparison
Compare LoRA, Adapter, and Prefix Tuning memory usage in this PEFT benchmark. Discover which method delivers the best efficiency trade-offs.
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RoPE vs ALiBi: 32K Context LLaMA Perplexity Beats MPT
RoPE vs ALiBi performance at 32K context: LLaMA's perplexity wins vs MPT. Position encoding comparison reveals surprising scaling differences.
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MobileNetV3 vs EfficientNet-Lite: ARM CPU Latency Benchmark
MobileNetV3-Small runs 2.9x faster than EfficientNet-Lite0 on Raspberry Pi 4—23ms vs 67ms. Here's why paper FLOPs don't match real ARM latency.
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GraphSAGE vs GAT: Reddit/PPI Inductive Learning 95% F1
Compare GraphSAGE and GAT for inductive learning on Reddit and PPI datasets. Learn which model achieves 95% F1 and why architecture matters.
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Mamba vs RWKV: 32K Context Benchmark on A100
Mamba vs RWKV: real accuracy and memory numbers at 32K tokens on A100. One architecture chokes past 16K — the other scales but misses facts.
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EfficientNetV2 vs ResNet: 11x Faster Training Explained
EfficientNetV2 trains 11x faster than ResNet through progressive learning, Fused-MBConv blocks, and adaptive regularization strategies.
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MoE Router Collapse: Why 90% of Tokens Hit 2 Experts
87% of tokens routing to 2 experts? That's router collapse killing your MoE model. Here's the auxiliary loss fix and diagnostic code to catch it early.