HuggingFace
AdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science
Data science agents can automate end-to-end machine learning workflows, yet they remain far from competitive on human...
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arXiv
REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation
Personalized recommendation depends on learning semantic and collaborative relations among items from online content ...
arXiv
Timestral
We introduce Timestral, a family of four time series foundation models for probabilistic forecasting, with 5M, 28M, 1...
arXiv
Understanding the limits of latent world models
World models are widely proposed as core components for enabling agents to reason over long temporal and spatial hori...
arXiv
GAS-PFN: Graph-Aware Spatiotemporal Prior-Data Fitted Networks for Zero-Shot Traffic Forecasting
Traffic forecasting requires modeling complex temporal dynamics and the spatial dependencies imposed by road topology...
arXiv
MoI-Bench: A Benchmark for Image Generation and Editing on Mobile Devices
Developing on-device image models requires considering practical user needs, task types and device resource constrain...
arXiv
Beyond Answer Changes: Matched Same-Class Controls for Local Audio Evidence
For audio-language models, an answer change after a local sound-event edit can reflect a response to the event's clas...
arXiv
VideoLVR: Latent Visual Reasoning over Grounded Video Evidence
Chain-of-thought reasoning has substantially advanced video understanding in multimodal large language models (MLLMs)...
arXiv
Rare, Relevant, and Still Wrong: How Memory Fails LLM Group Decisions
When an LLM group's discussion is compressed into a short memory for a final decision maker, what should the memory k...
arXiv
What Improves During Pretraining? Tracking Knowledge Acquisition with Point-in-Time Models
Language models pretrained on web corpora collected over multiple years learn both general and domain-specific knowle...
arXiv
MuonGS: Pretraining LLMs with Relaxed Weight-Norm Control
Weight decay and explicit weight-norm constraints improve optimizer performance in language model pretraining, yet a ...
arXiv
Can LLMs Uncover Hidden Physical Laws through Free Exploration?
Scientific discovery often begins with an unexpected observation that prompts a new research question. In a world wit...