2 citations · 5 across the 13 of their papers we have counts for
15 papers
ImproveAnyTask: An Autonomous Post-Training Harness for Iterative Model Self-Improvement
Xingbo Yao, Xiaoman Wang, Zhengwu Lei +11
Adapting general-purpose large language models to specific tasks requires substantial human effort in designing data and training strategies. Sustaining improvement is especially c…
Unsupervised Post-Training of Foundation Models: A Survey
Yijie Xu, Qianyi Cai, Huizai Yao +9
Foundation-model post-training usually relies on human labels, preference data, stronger teachers, or executable verifiers. We study Unsupervised Post-Training (UPT): update-bearin…
Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media
Yijie Xu, Chao Wang, Hui Xiong
The rapid growth of social media has greatly influenced political discourse, highlighting the need to understand individual political ideologies and their temporal dynamics. This t…
SafeBuild-Bench: A Temporal-Robust Construction Safety Benchmark with Graph-Enhanced Data Mining
Yi Cui, Zilin Wang, Yijie Xu +5
Construction-safety models must handle concrete deployment risks, such as a worker standing near a scaffold edge without guardrails, rather than only recognize common objects in cu…
Beyond Boundaries: Leveraging Vision Foundation Models for Source-Free Object Detection
Huizai Yao, Sicheng Zhao, Pengteng Li +6
Source-Free Object Detection (SFOD) aims to adapt a source-pretrained object detector to a target domain without access to source data. However, existing SFOD methods predominantly…
You only need 4 extra tokens: Synergistic Test-time Adaptation for LLMs
Yijie Xu, Huizai Yao, Zhiyu Guo +5
Large language models (LLMs) are increasingly deployed in specialized domains such as finance, medicine, and agriculture, where they face significant distribution shifts from their…
See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
Pengteng Li, Pinhao Song, Wuyang Li +5
We introduce SEE&TREK, the first training-free prompting framework tailored to enhance the spatial understanding of Multimodal Large Language Models (MLLMS) under vision-only const…
VSI: Visual Subtitle Integration for Keyframe Selection to enhance Long Video Understanding
Jianxiang He, Meisheng Hong, Jungang Li +3
Multimodal large language models (MLLMs) demonstrate exceptional performance in vision-language tasks, yet their processing of long videos is constrained by input context length an…
SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction
Lu Dai, Yijie Xu, Jinhui Ye +2
Large Language Models (LLMs) have demonstrated improved generation performance by incorporating externally retrieved knowledge, a process known as retrieval-augmented generation (R…
Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
Yijie Xu, Aiwei Liu, Xuming Hu +2
As open-source large language models (LLMs) like Llama3 become more capable, it is crucial to develop watermarking techniques to detect their potential misuse. Existing watermarkin…
SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity
Yijie Xu, Bolun Zheng, Wei Zhu +6
Social media popularity prediction task aims to predict the popularity of posts on social media platforms, which has a positive driving effect on application scenarios such as cont…
Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding
Weiyu Guo, Ziyang Chen, Shaoguang Wang +5
Understanding long video content is a complex endeavor that often relies on densely sampled frame captions or end-to-end feature selectors, yet these techniques commonly overlook t…
MIPI 2024 Challenge on Demosaic for HybridEVS Camera: Methods and Results
Yaqi Wu, Zhihao Fan, Xiaofeng Chu +46
The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algor…
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
Weiyu Guo, Ying Sun, Yijie Xu +3
Surface electromyography (sEMG) based gesture recognition offers a natural and intuitive interaction modality for wearable devices. Despite significant advancements in sEMG-based g…
Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss
Yunfan Lu, Yijie Xu, Wenzong Ma +2
Recent research has highlighted improvements in high-quality imaging guided by event cameras, with most of these efforts concentrating on the RGB domain. However, these advancement…