Every paper checked — nothing hidden

All papers

Every paper checked in the week of 12–18 Oct 2026 · Small and efficient models — nothing is hidden. Brief papers first.

BlogTopicEvidencePaper behind it / reason
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models (2023) — ML Atlas Literature Record | TinyCTO.tv
12 Oct, 16:30
Small and efficient modelsPaper confirmedSmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
The record is a direct technical summary focused entirely on the SmoothQuant paper.
AlignQuant: Efficient Mixed-Precision Quantization for LLMs | Welcome.AI
12 Oct, 16:30
Small and efficient modelsPaper confirmedAlignQuant: Tile-Aligned Mixed-Precision Quantization for Efficient LLM Generation
The post specifically summarizes the methodology and findings of the AlignQuant paper.
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones - Paper Detail
12 Oct, 16:30
Small and efficient modelsPaper confirmedTinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
The post is an abstract overview specifically discussing the TinyGPT-V paper.
Nemotron 3.5 Super VL Explained: NVIDIA's Open 120B Vision Agent Model
18 Oct, 06:18
Small and efficient modelsNo paper
The post is an architectural overview of NVIDIA's Nemotron 3.5 Super VL model, only referencing candidate papers and benchmarks in passing.
Nemotron 3.5 Bolt 74B vs Nemotron 3 Ultra: 1.5 points, 7x
17 Oct, 06:20
Small and efficient modelsNo paper
No link to a published paper found in the post
Nemotron 3.5 Bolt 74B vs Lightning 30B-A3B: 24GB vs 16GB
17 Oct, 06:20
Small and efficient modelsNo paper
No link to a published paper found in the post
Nemotron 3.5 Bolt 74B vs Kimi K3: 24GB vs 2.8T
17 Oct, 06:20
Small and efficient modelsNo paper
No link to a published paper found in the post
NVIDIA Nemotron 3.5 Super VL: The 120B Open Agent Model
17 Oct, 06:20
Small and efficient modelsNo paper
No link to a published paper found in the post
Nemotron 3.5 Bolt vs Kimi K3: 24GB Against 2.8T Params
17 Oct, 06:20
Small and efficient modelsNo paper
No link to a published paper found in the post
Nemotron 3.5 Bolt vs Nemotron 3 Ultra: What Compresses
17 Oct, 06:20
Small and efficient modelsNo paper
No link to a published paper found in the post
Optimizing Large Language Models with INT4 Quantization: Achieving Model Compression and Inference Acceleration
16 Oct, 06:19
Small and efficient modelsNo paper
No link to a published paper found in the post
AI Model Breakthroughs in 2026: Evolution of Efficient Inference Architectures
16 Oct, 06:19
Small and efficient modelsNo paper
No link to a published paper found in the post
Z-Image NVFP4 Efficient Inference: The 4-bit Quantization Revolution on Blackwell GPUs | Blog
15 Oct, 06:19
Small and efficient modelsNo paper
No link to a published paper found in the post
Empowering Edge AI: A Deep Dive into On-Device Small Language Models | Blog Gary Espinoza
15 Oct, 06:19
Small and efficient modelsNo paper
No link to a published paper found in the post
Accenture GPT-6 AI Developer Interview Questions for Freshers | Updated 2026
14 Oct, 06:19
Small and efficient modelsNo paper
No link to a published paper found in the post
SLMREC: DISTILLING LARGE LANGUAGE MODELS INTO SMALL FOR SEQUENTIAL RECOMMENDATION | Papers | HyperAI
13 Oct, 06:19
Small and efficient modelsLink not confirmed
Paper link(s) could not be confirmed on arXiv or Semantic Scholar
What is a Small Language Model (SLM)? | AI Glossary | Gebarski
13 Oct, 06:19
Small and efficient modelsNo paper
No link to a published paper found in the post
MatGPTQ: Efficient and Accurate Inference over Nested Quantized Models | alphaXiv
12 Oct, 16:30
Small and efficient modelsNo paper
No link to a published paper found in the post
Small Language Models (SLMs): The 2026 Enterprise Blueprint
12 Oct, 16:30
Small and efficient modelsNo paper
No link to a published paper found in the post