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

1205 articles-56% vs prev. week142 this week
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A Physical Transformer Built Entirely From Transistors Learns In-Context Learning in Simulation
Research·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
Research

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

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

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

Oct 12, 2026·2 min
Holomorphic Neural Networks With Singular Functions Beat All Methods on Laplace Benchmarks
Research

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

Oct 12, 2026·2 min
Cox Regression Learns From Truncated Data Orders of Magnitude Faster Than EM
Research·arXiv cs.LG

Cox Regression Learns From Truncated Data Orders of Magnitude Faster Than EM

An arXiv paper proves that Cox regression can be trained efficiently on truncated and censored data with gradient methods. The speedup over EM is orders of…

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

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

CacheScope needs no fine-tuning. It finds the steps where caching is risky and computes them in full. On FLUX.1-dev, Wan2.1 and Open-Sora 1.2, it gives up to 3.57x…

Oct 12, 2026·2 min
AI Error in Estimating Hidden Solar Generation Rises from 0.104 to 0.185 kW
Research·arXiv cs.LG

AI Error in Estimating Hidden Solar Generation Rises from 0.104 to 0.185 kW

An arXiv study tested deep models on Ausgrid and Pecan Street data: daytime MAE is 0.185 kW for new homes vs 0.104 kW for known customers. Fine-tuning on five homes…

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

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

A new algorithm merges small HuBERT subnetworks into a single model. It recognizes open syllables with 64.8% accuracy, and 99.5% of the circuit components are…

Oct 12, 2026·2 min
Top themes
01ResonatorLM Taught to Read Memory by Token: Perplexity at 1024 Drops from 12.81 to 3.76Oct 12, 2026·2 min02Kairos: a byte-level model for all modalities converges on 440 bytesOct 12, 2026·2 min03Open LLMs Explain Satire More Cheaply Than Frontier Models, but Handle Australian Satire Worse Than AmericanOct 12, 2026·2 min04COFFEQA Adds 8.77 EM on TriviaQA to Few-Shot Distillation Using CounterfactualsOct 12, 2026·2 min05MADS Trains Dialog Agents Not to Break: 1,095 Conversations, 66% With "Bad" ScenariosOct 12, 2026·2 min
U4RASD Takes 1st Place at KnowledgeGraphEval-2026: 94.06 micro-F1 on Arabic
Research·arXiv cs.CL

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
Research·arXiv cs.CL

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

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

perturber: a service with 68 text perturbations tests LLM robustness

Oct 12, 2026·2 min
GeopoliticalQA: bge-m3 Beats Commercial Embeddings on 5 525 Report-Based Questions
Research·arXiv cs.CL

GeopoliticalQA: bge-m3 Beats Commercial Embeddings on 5 525 Report-Based Questions

Oct 12, 2026·2 min
Qwen Picks What to Remember: Replay From a Frozen Model Reduces Forgetting
Research·arXiv cs.CL

Qwen Picks What to Remember: Replay From a Frozen Model Reduces Forgetting

Researchers tested whether a language model can protect its own skills during fine-tuning. Generated replay reduces forgetting, and task selection works at 4B.

Oct 12, 2026·3 min
CLUE Builds an Event Ontology Without Experts in Three Steps: Embeddings, Clusters, Names
Research·arXiv cs.CL

CLUE Builds an Event Ontology Without Experts in Three Steps: Embeddings, Clusters, Names

The CLUE framework combines verbal and semantic views of an event, clusters events with a contrastive loss, and names the types itself. The code is already open on…

Oct 12, 2026·2 min
AutoIndexer Teaches a Language Model to Edit Its Own Output with Three Types of Edits
Research·arXiv cs.CL

AutoIndexer Teaches a Language Model to Edit Its Own Output with Three Types of Edits

AutoIndexer simulates a chain of edits: the model moves a cursor, inserts, replaces and deletes tokens in already generated text, and does not lose quality on standard benchmarks.

Oct 12, 2026·2 min
OGPO Teaches VLA Models to Get Back on Track After a Failure, Without Online Fine-Tuning
Research·arXiv cs.AI

OGPO Teaches VLA Models to Get Back on Track After a Failure, Without Online Fine-Tuning

Oct 12, 2026·2 min
Seq-Drifting Generates Text in a Single Pass: Perplexity of 36.01 on LM1B
Research·arXiv cs.AI

Seq-Drifting Generates Text in a Single Pass: Perplexity of 36.01 on LM1B

Oct 12, 2026·2 min
CToM teaches LLMs to predict user replies and lifts accuracy to 79.6%
Research·arXiv cs.AI

CToM teaches LLMs to predict user replies and lifts accuracy to 79.6%

Oct 12, 2026·2 min
GeoSpatialBench Tests MLLMs on 28 Types of Spatial Relations Across Six Cities
Research·arXiv cs.AI

GeoSpatialBench Tests MLLMs on 28 Types of Spatial Relations Across Six Cities

Oct 12, 2026·2 min
RGR Protects LLMs from Skill Loss in Self-Distillation by Preserving Representation Geometry
Research·arXiv cs.AI

RGR Protects LLMs from Skill Loss in Self-Distillation by Preserving Representation Geometry

Oct 12, 2026·2 min
Researchers Propose a 3-Criterion Formula for Creativity and Test It on Chess and Picasso
Research

Researchers Propose a 3-Criterion Formula for Creativity and Test It on Chess and Picasso

Oct 12, 2026·2 min
Neural Networks Are More Modular Than Their Neurons Suggest: Three Levels of Testing
Research

Neural Networks Are More Modular Than Their Neurons Suggest: Three Levels of Testing

Oct 12, 2026·2 min
New Method Aligns Encoders With 100–500 Pairs Instead of Millions
Research

New Method Aligns Encoders With 100–500 Pairs Instead of Millions

Oct 12, 2026·2 min
LLM Pipeline Turns Datasheets into Knowledge Graphs with 98.8% Accuracy
Research·arXiv cs.AI

LLM Pipeline Turns Datasheets into Knowledge Graphs with 98.8% Accuracy

A new pipeline builds hierarchical graphs from datasheets: 98.8% faithful properties versus 76.1% for a single-pass LLM query. Tested on 20 documents.

Oct 12, 2026·2 min
EvoSyn: Multi-Agent Data Synthesis Lifts Task Success by 13.3 Points
Research·arXiv cs.AI

EvoSyn: Multi-Agent Data Synthesis Lifts Task Success by 13.3 Points

Researchers propose EvoSyn, a framework that reshapes the synthetic-data generation space based on student feedback and beats the strongest baseline by 13.3 points.

Oct 12, 2026·2 min
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