Peihao Wang

$\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space

DD-Ranking: Rethinking the Evaluation of Dataset Distillation

Baleen: Self‑Interpretable, Robust SSMs with Stochastic Selective Memory

Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline

Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel

Revisiting Spectral Representations in Generative Diffusion Models

Towards Personalized Parameter Generation via Data-Conditioned Mapping

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models

Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding

SAS: Simulated Attention Score

Can Test-Time Scaling Improve World Foundation Model?

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing

Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding

Meta ControlNet: Enhancing Task Adaptation via Meta Learning

OscillationInversion: Understand the structure of Large Flow Model through the Lens of Inversion Method