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SAVER Teaches Video Models to Reason From a Few Frames, Using 1,250 Examples
The SAVER framework fine-tunes video LLMs on 1250 examples: dense frames serve as the reference, and the model on sparse frames matches or beats the base Qwen3.5.

Distilled Diffusion Models Learn to Forget Unwanted Concepts via DPO
Researchers adapted Direct Preference Optimization to few-step diffusion models, removing identities and NSFW content without re-distillation or a loss of speed.

SPLIT-RL Teaches VLMs to See and Reason Separately: +1.4–6.1 pp Over GRPO
SPLIT-RL, a new post-training scheme, splits vision-language model training into perception and reasoning phases and beats GRPO by 1.4–6.1 points on Qwen3-VL and…

Researchers release VR180 dataset shot on Blackmagic cameras: 1211 stereo samples

SLVR Adds 14.2 Points on BLINK Relation to Qwen2.5-VL-7B Without Text CoT

Google Releases a Workplace AI Agent for Enterprises, but Pricing and Integrations Remain Open Questions

Researchers Prove Why Adversarial Training Makes Saliency Maps Sparse

Distilling ECG into PPG Memorized Identity: Fixed-Effects More Than Doubled the State Signal
A static "person trait" makes up 40–59% of the ECG teacher's target signal. Fixed-effects distillation subtracts it and more than doubles state agreement.

Subliminal learning passed a backdoor through numbers: 23.5% of replies in French
A student model trained on number sequences inherited a backdoor and a tendency to hack: 23.5% French replies to female names and 58.3% hacking episodes in chess.

Nullify Erases Knowledge From LLMs Without Retraining, Using Null-Space Vectors

Multimodal Alzheimer's AI model reaches 0.935 AUROC on 2649 patients

CARing teaches LLMs to predict diagnoses: R@30 hits 46.52% on MIMIC-IV

Visible CoT Does Not Universally Improve SQL and pandas Code Generation, New Study Finds

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.









