373 citations · 1.3k across the 51 of their papers we have counts for
19 papers · 1 filter
Measurements of the absolute branching fractions of decays and test of the rule
BESIII Collaboration, M. Ablikim, M. N. Achasov +610
Based on a data set of events collected at the BESIII experiment, the absolute branching fractions of the three dominant decays are meas…
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection
Yufei Li, Yanchi Liu, Haoyu Wang +6
Logs play a crucial role in system monitoring and debugging by recording valuable system information, including events and states. Although various methods have been proposed to de…
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty
Chen Ling, Xujiang Zhao, Xuchao Zhang +8
Open Information Extraction (OIE) task aims at extracting structured facts from unstructured text, typically in the form of (subject, relation, object) triples. Despite the potenti…
A coupled-channel analysis of the lineshape with BESIII data
BESIII Collaboration, M. Ablikim, M. N. Achasov +611
We perform a study of the lineshape using the data samples of , and collected with the BESIII detector. The…
Investigation of the rule and test of CP violation through the measurement of decay asymmetry parameters in decays
BESIII Collaboration, M. Ablikim, M. N. Achasov +615
Using events collected with the BESIII detector, numerous and decay asymmetry parameters are simultaneously determined from the process…
Measurement of the cross sections from 2.000 to 3.080 GeV
BESIII Collaboration, M. Ablikim, M. N. Achasov +615
Based on collision data collected at center-of-mass energies from 2.000 to 3.080 GeV by the BESIII detector at the BEPCII collider, a partial wave analysis is performe…
Baichuan 2: Open Large-scale Language Models
Aiyuan Yang, Bin Xiao, Bingning Wang +52
Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing…
From SMOTE to Mixup for Deep Imbalanced Classification
Wei-Chao Cheng, Tan-Ha Mai, Hsuan-Tien Lin
Given imbalanced data, it is hard to train a good classifier using deep learning because of the poor generalization of minority classes. Traditionally, the well-known synthetic min…
Measurement of cross sections at center-of-mass energies from 3.508 to 4.951 GeV and search for the decay
BESIII Collaboration, M. Ablikim, M. N. Achasov +611
The cross sections of the process at center-of-mass energies from 3.508 to 4.951 GeV are measured with high precision using 26.1 fb data collected with th…
Measurement of the branching fractions of the singly Cabibbo-suppressed decays and
BESIII Collaboration, M. Ablikim, M. N. Achasov +618
Based on 4.5 $\mbox{fb$^{-1}$}$ collision data collected with BESIII detector at seven energy points between 4.600 and 4.699 GeV, the branching fractions for $Λ_{c}^{+…
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations
Tianxiang Zhao, Wenchao Yu, Suhang Wang +6
Imitation learning has achieved great success in many sequential decision-making tasks, in which a neural agent is learned by imitating collected human demonstrations. However, exi…
Maximal Leakage of Masked Implementations Using Mrs. Gerber's Lemma for Min-Entropy
Julien Béguinot, Yi Liu, Olivier Rioul +2
A common countermeasure against side-channel attacks on secret key cryptographic implementations is th-order masking, which splits each sensitive variable into random shar…
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Chen Ling, Xujiang Zhao, Jiaying Lu +21
Large language models (LLMs) have significantly advanced the field of natural language processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of app…
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
Xianjun Yang, Wei Cheng, Yue Wu +3
Large language models (LLMs) have notably enhanced the fluency and diversity of machine-generated text. However, this progress also presents a significant challenge in detecting th…
Integrated Sensing and Communication based Outdoor Multi-Target Detection, Tracking and Localization in Practical 5G Networks
Ruiqi Liu, Mengnan Jian, Dawei Chen +4
The 6th generation (6G) wireless networks will likely to support a variety of capabilities beyond communication, such as sensing and localization, through the use of communication…
Personalized Federated Learning under Mixture of Distributions
Yue Wu, Shuaicheng Zhang, Wenchao Yu +5
The recent trend towards Personalized Federated Learning (PFL) has garnered significant attention as it allows for the training of models that are tailored to each client while mai…
Time Series Contrastive Learning with Information-Aware Augmentations
Dongsheng Luo, Wei Cheng, Yingheng Wang +8
Various contrastive learning approaches have been proposed in recent years and achieve significant empirical success. While effective and prevalent, contrastive learning has been l…
Dynamic Prompting: A Unified Framework for Prompt Tuning
Xianjun Yang, Wei Cheng, Xujiang Zhao +3
It has been demonstrated that the art of prompt tuning is highly effective in efficiently extracting knowledge from pretrained foundation models, encompassing pretrained language m…
Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization
Xianjun Yang, Yan Li, Xinlu Zhang +2
Text summarization has been a crucial problem in natural language processing (NLP) for several decades. It aims to condense lengthy documents into shorter versions while retaining…