Spotify adds new AI DJ voices and a less-chatter option
Premium listeners in more than 95 markets can pick English and Spanish voices and limit talk between songs.
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30 stories, newest first · one card per story
Stories tagged #personalization
Reddit to require logins for full content to curb scrapers
A pilot outside the United States will start in coming months; restricted content, countries, and timelines are not set.
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Starbucks to test AI personalized menus at the drive-thru
Background models to help baristas enter orders are planned to start testing in 2027, and app ordering may later become conversational.
iPrefBench tests when mobile agents should infer or ask
Seven frontier agents hit up to 91.6% action completion but only 47.7% full task success.
HDC-FL clusters classifier heads for personalized federated learning
On 11 CIFAR setups with ResNet-18 and MobileNetV2, it leads worst-client and bottom-20% accuracy without averaging heads.
Residual-space adaptation cuts forgetting in continual diffusion personalization
Restricting updates to layers identified by residual dynamics keeps performance while cutting trainable parameters by up to 72%.
ID-TAP personalizes LLM agents from binary response comparisons
Within a fixed ten-round comparison budget, ID-TAP led aggregate results on seven user-conditioned generation benchmarks.
Warm-Start UCB personalizes memory gating for language agents
The policy learns which facts to keep from delayed retrieval feedback and beat baselines across memory budgets.
LIBERO-PeRM: Benchmarking Personalized Robotic Manipulation
LIBERO-PeRM benchmarks whether robot policies satisfy user preferences separately from completing manipulation tasks.
Explaining the Roles of Experts in Mixture-of-Experts LLMs for Personalization
Researchers personalize mixture-of-experts LLMs and localize distinct personalization features in specific experts.
CarryOn: A Dual-Loop Harness for Personalized and Reliable Robot Assistance
CarryOn personalizes frozen robot VLA policies and cuts hazardous violations while improving failure recovery.
Facebook is giving users more control over their algorithm
Meta launched Your Algorithm on Facebook so users can steer Feed and Reels with natural-language preferences.
Collaborative Personalized Preference Alignment for LLMs under Data Deficiency
Approximate Pareto Optimality learns shared aligner initializations for few-shot LLM personalization from 20 examples.
Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization
PerTIDE transfers user-history updates from news to movies, beating a random core by 15.23 MRR.
Personalized Image Generation with Reasoning and Reflection
PEARL personalizes image generation from user histories via a reason-reflect loop, beating baselines by about 15% on a new benchmark.
ReGain: Restoring Subject Fidelity in Personalization on Synthetic Images
ReGain downscales inflated guidance so DreamBooth on synthetic images recovers much of real-photo subject fidelity.
MemFold: Learning Compact Soft Memory for Long-Context Personalization via On-Policy Optimization
MemFold trains fixed-size soft memory with on-policy rewards and leads PersonaMem personalization across Qwen backbones.
Using Context Is Not Enough: Test-Time Training for Personalized Reward Modeling
P-TTT personalizes reward models with test-time fast weights, beating in-context preference conditioning without backprop.
Relevance Does Not Imply Applicability: Experience Activation for Personal GUI Agents
ExpActivator activates only situation-applicable GUI history, lifting step success 28% while using far fewer tokens.
Context-Continuous Preference Learning for Exoskeleton Personalization
A Gaussian-process preference model shares nearby-context feedback to personalize ankle and elbow exoskeleton assistance with less data.
LoRA-generating hypernetworks for efficient on-device LLM generative personalization
A hypernetwork generates user-specific LoRA adapters on device for personalized long-form LLM generation.
From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Health
A survey traces mental-health LLMs from assessment tools to empathetic chat and stateful personalized companions.
CARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation
CARD personalizes LLMs with cluster LoRA adapters and decoding-time preference vectors, beating LaMP and LongLaMP baselines.
Do Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMs
PsPLUG keeps user personalization when explicit style instructions would otherwise collapse customized LLM behavior.