10 papers
Beyond Position Bias: Shifting Context Compression from Position-Driven to Semantic-Driven
Jiwei Tang, Zhijing Huang, Xinyu Zhang +5
Large Language Models (LLMs) have demonstrated exceptional performance across diverse tasks. However, their deployment in long-context scenarios faces high computational overhead a…
SAKE: Self-aware Knowledge Exploitation-Exploration for Grounded Multimodal Named Entity Recognition
Jielong Tang, Xujie Yuan, Jiayang Liu +6
Grounded Multimodal Named Entity Recognition (GMNER) aims to extract named entities and localize their visual regions within image-text pairs, serving as a pivotal capability for v…
An Iteration-Free Fixed-Point Estimator for Diffusion Inversion
Yifei Chen, Kaiyu Song, Yan Pan +3
Diffusion inversion aims to recover the initial noise corresponding to a given image such that this noise can reconstruct the original image through the denoising diffusion process…
HPSU: A Benchmark for Human-Level Perception in Real-World Spoken Speech Understanding
Chen Li, Peiji Yang, Yicheng Zhong +5
Recent advances in Speech Large Language Models (Speech LLMs) have led to great progress in speech understanding tasks such as Automatic Speech Recognition (ASR) and Speech Emotion…
CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling
Yiming Zhao, Jiwei Tang, Shimin Di +3
Recommending event schedules is a key issue in Event-based Social Networks (EBSNs) in order to maintain user activity. An effective recommendation is required to maximize the user'…
GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection
Kun Zou, Yongheng Xu, Jianxing Yu +3
Out-of-distribution (OOD) detection is paramount to ensuring the reliability and robustness of learning models in real-world applications. Existing post-hoc OOD detection methods d…
Trace: Securing Smart Contract Repository Against Access Control Vulnerability
Chong Chen, Jiachi Chen, Lingfeng Bao +7
Smart contract vulnerabilities, particularly improper Access Control that allows unauthorized execution of restricted functions, have caused billions of dollars in losses. GitHub h…
ReFineG: Synergizing Small Supervised Models and LLMs for Low-Resource Grounded Multimodal NER
Jielong Tang, Shuang Wang, Zhenxing Wang +2
Grounded Multimodal Named Entity Recognition (GMNER) extends traditional NER by jointly detecting textual mentions and grounding them to visual regions. While existing supervised m…
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition
Jielong Tang, Zhenxing Wang, Ziyang Gong +3
Grounded Multimodal Named Entity Recognition (GMNER) is an emerging information extraction (IE) task, aiming to simultaneously extract entity spans, types, and corresponding visual…
Answering Subjective Induction Questions on Products by Summarizing Multi-sources Multi-viewpoints Knowledge
Yufeng Zhang, Meng-xiang Wang, Jianxing Yu
This paper proposes a new task in the field of Answering Subjective Induction Question on Products (SUBJPQA). The answer to this kind of question is non-unique, but can be interpre…