Zhemal Khamidun
Head of AI at Alpina Digital, CPO of AlpinaGPT (~30-person engineering & AI team). Founder of Vibe Academy & Hamidun Consulting, author of the AI channel «Готовим ИИшницу» (@jemal_hamidun).

U4RASD Takes 1st Place at KnowledgeGraphEval-2026: 94.06 micro-F1 on Arabic
An ensemble of Yehia, Qwen3.5 and an encoder with typed markers won the Arabic relation extraction subtask: micro-F1 of 94.06 across 40 relation types.

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…

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…

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

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

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

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

Neural Networks Are More Modular Than Their Neurons Suggest: Three Levels of Testing
A new arXiv paper proposes three nested levels of modularity and finds that networks without neuron-level modules often have clear functional modules in subspaces.

New Method Aligns Encoders With 100–500 Pairs Instead of Millions
An arXiv paper aligns two independently trained encoders using 100–500 pairs via distilled optimal transport, beating baselines on Flickr30k, MS-COCO and ChEBI-20.

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

EliteTable Makes LLMs Evolve Controller Code: Gains in 6 of 6 Tasks

MCTS Loses to Random Restarts by 2.88% in DAG Scheduling at Equal Budget

arXiv paper finds five flaws in XAI faithfulness metrics

Zebra3D speeds up 3D reconstruction by up to 7.1× on 1024 frames without training from scratch
Zebra3D's hybrid attention speeds up off-the-shelf VGGT, HunyuanWorld-Mirror and π³ by up to 7.1× on 1024 views. At 94% sparsity, VGGT accuracy drops by only 1.1 pp.

SynAct Teaches LLM Agents to Ask for Help Where It Changes the Outcome: +11.7 pp
SynAct spends expert attention on individual agent decisions, not whole tasks, and raises accuracy by an average of 11.7 pp in 16 of 16 test configurations.









