6 papers
END: Early Noise Dropping for Efficient and Effective Context Denoising
Hongye Jin, Pei Chen, Jingfeng Yang +11
Large Language Models (LLMs) have demonstrated remarkable performance across a wide range of natural language processing tasks. However, they are often distracted by irrelevant or…
Autoregressive Image Generation with Masked Bit Modeling
Qihang Yu, Qihao Liu, Ju He +4
This paper challenges the dominance of continuous pipelines in visual generation. We systematically investigate the performance gap between discrete and continuous methods. Contrar…
Token Entropy Regularization for Multi-modal Antenna Affiliation Identification
Dong Chen, Ruoyu Li, Xinyan Zhang +5
Accurate antenna affiliation identification is crucial for optimizing and maintaining communication networks. Current practice, however, relies on the cumbersome and error-prone pr…
Heteroscedasticity of Denoising Score Matching with Generalised Smooth Noise
Juyan Zhang, Rhys Newbury, Xinyang Zhang +3
Score Matching (SM) is a powerful framework for estimating the log-density derivatives of a distribution without calculating its normalizing constants. This capability has made it…
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
Weizhi Zhang, Yangning Li, Yuanchen Bei +20
Information retrieval is a cornerstone of modern knowledge acquisition, enabling billions of queries each day across diverse domains. However, traditional keyword-based search engi…
Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation
Yu-Jhe Li, Xinyang Zhang, Kun Wan +3
We tackle the challenge of open-vocabulary segmentation, where we need to identify objects from a wide range of categories in different environments, using text prompts as our inpu…