Peng Ye

Gradient Intrinsic Dimensionality Alignment：Narrowing The Gap Between Low-Rank Adaptation and Full Fine-Tuning

SCI-Verifier: Scientific Verifier with Thinking

RegionE: Adaptive Region-Aware Generation for Efficient Image Editing

OVID: Open-Vocabulary Intrusion Detection

E²LoRA: Efficient and Effective Low-Rank Adaptation with Entropy-Guided Adaptive Sharing

Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models

Learning Compact Representations of LLM Abilities via Item Response Theory

MCP-R1: Generalized Real-World Task Agent Mastering Dozens of Tools

PhysicsMinions: Winning Gold Medals in the Latest Physics Olympiads with a Coevolutionary Multimodal Multi-Agent System

HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?

Self-Aware Reinforcement Learning for Improving LLMs with Minimal Data

Nature-Inspired Population-Based Evolution of Large Language Models

CTTS: Collective Test-Time Scaling

A CLIP-Powered Framework for Robust and Generalizable Data Selection

GoRA: Gradient-driven Adaptive Low Rank Adaptation

scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding

When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration

Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression

HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction

Revisiting Convolution Architecture in the Realm of DNA Foundation Models

COMET: Benchmark for Comprehensive Biological Multi-omics Evaluation Tasks and Language Models

$\Delta$-DiT: Accelerating Diffusion Transformers without training via Denoising Property Alignment

Biology Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models