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Curated coverage on «LLM»: releases, research, benchmarks, open-source.

4841 articles-77% vs prev. week326 this week
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APEX Compresses Diffusion Latents 128x and Beats a 256-Token Model on ImageNet-512
LLM·arXiv cs.CV

APEX Compresses Diffusion Latents 128x and Beats a 256-Token Model on ImageNet-512

Oct 12, 2026·2 min
SWIM saves compute: audio-video generation gains up to 30.7% over Best-of-N
LLM

SWIM saves compute: audio-video generation gains up to 30.7% over Best-of-N

Oct 12, 2026·2 min
SAM 2.1 fine-tuned on facades and interiors: mIoU rises from 49.9% to 69.6%
LLM

SAM 2.1 fine-tuned on facades and interiors: mIoU rises from 49.9% to 69.6%

Oct 12, 2026·2 min
SAIL Keeps Its Target in Frame Using Audio and Text, and Beats Rivals on Two Benchmarks
LLM

SAIL Keeps Its Target in Frame Using Audio and Text, and Beats Rivals on Two Benchmarks

Oct 12, 2026·2 min
Researchers Compare CNN, ViT and Mamba Attention Against Human Gaze
LLM·arXiv cs.CV

Researchers Compare CNN, ViT and Mamba Attention Against Human Gaze

Three architectures, three domains, three metrics: eye tracking shows CNNs look broadly, ViTs lock onto micro-features, and Mamba is strong in medicine but diverges…

Oct 12, 2026·3 min
Stroop Test Shows VLMs Read the Text in an Image Before They See the Color
LLM·arXiv cs.CV

Stroop Test Shows VLMs Read the Text in an Image Before They See the Color

Researchers ran contrastive and generative VLMs through the classic Stroop test. When text and color conflict, the models more often answer with the written word.

Oct 12, 2026·2 min
ForcingBooster Halves Denoising Steps in Autoregressive Video Generation
LLM·arXiv cs.CV

ForcingBooster Halves Denoising Steps in Autoregressive Video Generation

ForcingBooster assigns denoising steps per patch, so simple regions stop early. The result: roughly 50% fewer steps at quality comparable to a four-step baseline.

Oct 12, 2026·2 min
Video-Language Models Confuse Car Maneuvers: LoRA and Probes Fix the Error
LLM·arXiv cs.CV

Video-Language Models Confuse Car Maneuvers: LoRA and Probes Fix the Error

An arXiv study finds video LLMs unreliable at identifying car motion from video, while lightweight LoRA and probes on intermediate features restore strong…

Oct 12, 2026·2 min
Top themes
01TerraAgent checks whether the AI actually looks at the image: hallucinations drop from 17.1% to 9.8%Oct 12, 2026·2 min02AVA improves multimodal ICL accuracy by 1.7 points without any trainingOct 12, 2026·2 min03Coral-KV Compresses Video Model KV-Cache by 37–48% and Lifts PSNR by Up to 4.95 dBOct 12, 2026·2 min04Black Lake: Chinese Factories Skip Digitization and Go Straight to AI AgentsOct 12, 2026·2 min05T. Rowe Price: 55% of Hong Kong Residents Expect AI to Hit Their Retirement, but Only One in Five Feels ReadyOct 12, 2026·2 min
Genetic Optimizer Cuts Aerosol Sensor Placement Time in the UK by 60%
LLM·arXiv cs.LG

Genetic Optimizer Cuts Aerosol Sensor Placement Time in the UK by 60%

Oct 12, 2026·2 min
Kronecker Product Attention Compresses the KV-Cache Up to 10x and Matches MLA on Quality
LLM·arXiv cs.LG

Kronecker Product Attention Compresses the KV-Cache Up to 10x and Matches MLA on Quality

Oct 12, 2026·2 min
DiffusionART speeds up RL fine-tuning of video models 12x, with no EMA tuning
LLM·arXiv cs.LG

DiffusionART speeds up RL fine-tuning of video models 12x, with no EMA tuning

Oct 12, 2026·2 min
A Physical Transformer Built Entirely From Transistors Learns In-Context Learning in Simulation
LLM·arXiv cs.LG

A Physical Transformer Built Entirely From Transistors Learns In-Context Learning in Simulation

Oct 12, 2026·2 min
Theory Shows Masked Diffusion on Transformers Learns from Õ(LK/ε) Samples
LLM·arXiv cs.LG

Theory Shows Masked Diffusion on Transformers Learns from Õ(LK/ε) Samples

A new arXiv paper gives end-to-end guarantees for masked diffusion models: sample complexity scales as Õ(L·K_par/ε), not exponentially as V^L in sequence length.

Oct 12, 2026·2 min
SAZO speeds up LLM fine-tuning without backprop: up to 6× fewer queries to reach the same loss
LLM·arXiv cs.LG

SAZO speeds up LLM fine-tuning without backprop: up to 6× fewer queries to reach the same loss

A new zeroth-order method, SAZO, learns to tell informative training examples from uninformative ones and reaches the same loss with up to 6× fewer queries than…

Oct 12, 2026·2 min
Holomorphic Neural Networks With Singular Functions Beat All Methods on Laplace Benchmarks
LLM·arXiv cs.LG

Holomorphic Neural Networks With Singular Functions Beat All Methods on Laplace Benchmarks

A new architecture satisfies the Laplace equation by construction and captures corner singularities. On a CdZnTe detector, it is 1.7–2.1 times more accurate than the closest competitor.

Oct 12, 2026·2 min
CacheScope speeds up diffusion models by up to 3.57x and cuts LPIPS by 70%
LLM·arXiv cs.LG

CacheScope speeds up diffusion models by up to 3.57x and cuts LPIPS by 70%

Oct 12, 2026·2 min
CircuitTree assembles 39 HuBERT phoneme circuits into a syllable transcriber with 64.8% accuracy
LLM·arXiv cs.LG

CircuitTree assembles 39 HuBERT phoneme circuits into a syllable transcriber with 64.8% accuracy

Oct 12, 2026·2 min
ResonatorLM Taught to Read Memory by Token: Perplexity at 1024 Drops from 12.81 to 3.76
LLM·arXiv cs.LG

ResonatorLM Taught to Read Memory by Token: Perplexity at 1024 Drops from 12.81 to 3.76

Oct 12, 2026·2 min
Kairos: a byte-level model for all modalities converges on 440 bytes
LLM·arXiv cs.LG

Kairos: a byte-level model for all modalities converges on 440 bytes

Oct 12, 2026·2 min
Open LLMs Explain Satire More Cheaply Than Frontier Models, but Handle Australian Satire Worse Than American
LLM·arXiv cs.CL

Open LLMs Explain Satire More Cheaply Than Frontier Models, but Handle Australian Satire Worse Than American

Oct 12, 2026·2 min
COFFEQA Adds 8.77 EM on TriviaQA to Few-Shot Distillation Using Counterfactuals
LLM

COFFEQA Adds 8.77 EM on TriviaQA to Few-Shot Distillation Using Counterfactuals

Oct 12, 2026·2 min
MADS Trains Dialog Agents Not to Break: 1,095 Conversations, 66% With "Bad" Scenarios
LLM

MADS Trains Dialog Agents Not to Break: 1,095 Conversations, 66% With "Bad" Scenarios

Oct 12, 2026·2 min
U4RASD Takes 1st Place at KnowledgeGraphEval-2026: 94.06 micro-F1 on Arabic
LLM

U4RASD Takes 1st Place at KnowledgeGraphEval-2026: 94.06 micro-F1 on Arabic

Oct 12, 2026·2 min
AXLE Method Primes Annotators' Own Experience Before Hate Speech Labeling: 104 People, 1,040 Ratings
LLM·arXiv cs.CL

AXLE Method Primes Annotators' Own Experience Before Hate Speech Labeling: 104 People, 1,040 Ratings

AXLE, a new pre-annotation step, asks annotators to describe personal experience before rating toxic text. In a test with 104 people, agreement dropped and label…

Oct 12, 2026·2 min
perturber: a service with 68 text perturbations tests LLM robustness
LLM·arXiv cs.CL

perturber: a service with 68 text perturbations tests LLM robustness

Researchers have released perturber, a service and Python library that apply one meaning-preserving perturbation at a time from a catalog of 68 variants across 11…

Oct 12, 2026·2 min
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