Zhemal Khamidun
Hamidun News editorial desk led by Editor-in-Chief Zhemal Khamidun (CPO of AlpinaGPT). Daily curation across 50+ global AI labs, research feeds, and industry reports in 6 languages.

LoopOPD Teaches Looped Language Models to Improve Through Their Own Loops
LoopOPD makes an intermediate loop of a LoopLM learn from the final loop of the same model, with no external teacher. Tested on Ouro-Thinking, trained on math only.

MoE Router Telemetry Leaks Fine-Tuning Data: Attack Gains 2.7–9.4 pp in Accuracy
MoE expert-routing logs reveal whether an example was in the fine-tuning set: TPR at 1% FPR rises by 2.7–9.4 pp in all nine tested configurations.

SPERA Trained on 80,000 Hours of EEG From 29,048 People and Tested on 9 Tasks
The SPERA foundation model predicts EEG in latent space using a JEPA scheme and accounts for electrode geometry. Training data: 106 datasets, about 80,000 hours of…

FedAlphaEdit Merges Knowledge Edits from Different Organizations into One LLM Without Sharing Data

Three LLMs Follow Prompts for Stutters and Interruptions Poorly; Rules Do Better

Sociolinguistics Instead of LLM Judges: Testing User-Simulator Personas on 5 Agents

AI4Fire: SQL Tool Lifts LLM Accuracy on Wildfire Databases From 16% to 88%

LLMs Judge Translation Across 70 Language Pairs: They Beat Humans Only in Places
A study tested LLMs as machine translation judges under MQM and ESA across 70 language pairs and WMT23/WMT25 data. In places, models agree with humans better than…

STI-OPD: Teacher Probabilistically Swaps in Its Own Actions and Beats OPD Baselines
New STI-OPD distillation method fixes trajectory drift in LLM agents: the teacher steps in with a KL-divergence-based probability and beats the best OPD baseline on…

Routed Sparse Autoencoders Separate Words From Intonation in Speech on WavLM and SPEAR

Galahad-kv stores KV cache on NVMe and loads a block 2.8–4.3x faster than recomputing it

Fine-Tuned 0.8B-Parameter Model Beats GPT-5.4 at Grammar Annotation

Utterance Normalization Cuts the Cost of Analyzing Millions of Calls: A Pipeline Built Entirely on Small Models

Diffu-LoRA Lets the Adapter Decide Which Stable Diffusion Layers Need Rank
A new method for personalizing diffusion models allocates LoRA rank across layers using learnable gates and pruning. Tested on Stable Diffusion and DreamBooth sets.

GenUI-Harness Lifts a 4B Model From 9.33% to 58% Pass@3, Beating Claude Opus 5
The multi-agent GenUI-Harness generates interfaces instead of text replies. After RL, a 4B model went from 9.33% to 58.00% Pass@3, and dialogue shrank from 3.4 to…









