Publications (92)
Bilinear integral operator on Morrey-Banach spaces and its application
Huihui Zhang, Xiangxing Tao, Yandan Zhang +1
In this paper, we give the definability of bilinear singular and fractional integral operators on Morrey-Banach space, as well as their commutators and we prove the boundedness of…
FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings
Tong Liu, Xiao Yu, Wenxuan Zhou +2
Efficient preference optimization algorithms such as Direct Preference Optimization (DPO) have become a popular approach in aligning large language models (LLMs) with human prefere…
Optimizing the depth-dependent nitrogen-vacancy center quantum sensor in diamane
Pei Li, Guanjian Hu, Xiao Yu +2
Negatively charged nitrogen-vacancy (NV) center in diamond is the representative solid state defect qubit for quantum information science, offering long coherence time at room temp…
Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes
Jiquan Zhong, Xiaolin Huang, Xiao Yu
Multi-frame methods improve monocular depth estimation over single-frame approaches by aggregating spatial-temporal information via feature matching. However, the spatial-temporal…
Traveling waves and spreading speeds for time-space periodic monotone systems
Jian Fang, Xiao Yu, Xiao-Qiang Zhao
The theory of traveling waves and spreading speeds is developed for time-space periodic monotone semiflows with monostable structure. By using traveling waves of the associated Poi…
Adversarial Defense Framework for Graph Neural Network
Shen Wang, Zhengzhang Chen, Jingchao Ni +4
Graph neural network (GNN), as a powerful representation learning model on graph data, attracts much attention across various disciplines. However, recent studies show that GNN is…
Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models
Xiao Yu, Haoxuan Chen, Feifei Niu +3
With the rapid development of large language models (LLMs), distributed training and inference frameworks like DeepSpeed have become essential for scaling model training and infere…
Iterative decoding of short BCH codes and its post-processing
Guangwen Li, Xiao Yu
Effective iterative decoding of short BCH codes faces two primary challenges: identifying an appropriate parity-check matrix and accelerating decoder convergence. To address these…
When Models Meet Users: An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face
Yujian Liu, Xiao Yu, Jacky Keung +3
The paper empirically examines user discussions on Hugging Face to understand how people perceive general-purpose and multimodal large language models, identifying key concerns suc…
Strong decays and effective spin-symmetry-breaking corrections in excited charm-strange mesons
Xiao Yu, Chao-Qiang Geng
We study two-body pseudoscalar-emission decays of excited charm-strange mesons in heavy meson effective field theory, where phenomenological \(1/m_c\) corrections are encoded as ef…
Asymptotic spreading of KPP reactive fronts in heterogeneous shifting environments
King-Yeung Lam, Xiao Yu
We study the asymptotic spreading of Kolmogorov-Petrovsky-Piskunov (KPP) fronts in heterogeneous shifting habitats, with any number of shifting speeds, by further developing the me…
ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning
Xiao Yu, Jinzhong Zhang, Zhou Yu
A reliable resume-job matching system helps a company find suitable candidates from a pool of resumes, and helps a job seeker find relevant jobs from a list of job posts. However,…
How Far Have We Gone in Binary Code Understanding Using Large Language Models
Xiuwei Shang, Shaoyin Cheng, Guoqiang Chen +6
Binary code analysis plays a pivotal role in various software security applications, such as software maintenance, malware detection, software vulnerability discovery, patch analys…
Robust single-sideband-modulated Raman light generation for atom interferometry by FBG-based optical rectangular filtration
Guochao Wang, Yaning Wang, Kang Ying +10
Low-phase-noise and pure-spectrum Raman light is vital for high-precision atom interferometry by two-photon Raman transition. A preferred and prevalent solution for Raman light gen…
Reinforcement World Model Learning for LLM-based Agents
Xiao Yu, Baolin Peng, Ruize Xu +6
Large language models (LLMs) have achieved strong performance in language-centric tasks. However, in agentic settings, LLMs often struggle to anticipate action consequences and ada…
Populations with individual variation in dispersal in heterogeneous environments: dynamics and competition with simply diffusing populations
Robert Stephen Cantrell, Chris Cosner, Xiao Yu
We consider a model for a population in a heterogeneous environment, with logistic type local population dynamics, under the assumption that individuals can switch between two diff…
UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement
Yaofeng Xie, Lingwei Kong, Kai Chen +4
Learning-based underwater image enhancement (UIE) methods have made great progress. However, the lack of large-scale and high-quality paired training samples has become the main bo…
DAG-STL: A Hierarchical Framework for Zero-Shot Trajectory Planning under Signal Temporal Logic Specifications
Ruijia Liu, Ancheng Hou, Xiao Yu +1
Signal Temporal Logic (STL) is a powerful language for specifying temporally structured robotic tasks. Planning executable trajectories under STL constraints remains difficult when…
Asymptotic spreading of KPP reactive fronts in heterogeneous shifting environments II: Flux-limited solutions
King-Yeung Lam, Gregoire Nadin, Xiao Yu
We consider the spreading dynamics of the Fisher-KPP equation in a shifting environment, by analyzing the limit of the rate function of the solutions. For environments with a weak…
Semileptonic decays of doubly charmed baryons with bag model
Chao-Qiang Geng, Chia-Wei Liu, Aowen Zhou +1
We study the semileptonic decays of with the bag model, where = , = , , ),…
Heterogeneous Graph Matching Networks
Shen Wang, Zhengzhang Chen, Xiao Yu +7
Information systems have widely been the target of malware attacks. Traditional signature-based malicious program detection algorithms can only detect known malware and are prone t…
The impact when neural min-sum variant meets ordered statistics decoding of LDPC codes
Guangwen Li, Xiao Yu
This paper introduces three key initiatives in the pursuit of a hybrid decoding framework characterized by superior decoding performance, high throughput, low complexity, and indep…
Potential of discovering in decays
Chao-Qiang Geng, Xiang-Nan Jin, Chia-Wei Liu +2
We propose to search for in the decay , which serves as a tagged and reconstructible source of , providing an experimentally clean en…
TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling
Ruiquan Ge, Xiao Yu, Yifei Chen +10
Magnetic Resonance Imaging (MRI) has become essential in clinical diagnosis due to its high resolution and multiple contrast mechanisms. However, the relatively long acquisition ti…
LIONs: An Empirically Optimized Approach to Align Language Models
Xiao Yu, Qingyang Wu, Yu Li +1
Alignment is a crucial step to enhance the instruction-following and conversational abilities of language models. Despite many recent work proposing new algorithms, datasets, and t…
REINA: Regularized Entropy Information-Based Loss for Efficient Simultaneous Speech Translation
Nameer Hirschkind, Joseph Liu, Xiao Yu +1
Simultaneous Speech Translation (SimulST) systems stream in audio while simultaneously emitting translated text or speech. Such systems face the significant challenge of balancing…
Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks
Guangsheng Bao, Lihua Rong, Yanbin Zhao +3
Existing AI-generated text detectors are vulnerable to attacks that manipulate textual characteristics. In this study, we propose a novel Triospect Detection Framework by using add…
LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems
Xiao Yu, Yunan Lu, Zhou Yu
Retrieval-augmented question-answering systems combine retrieval techniques with large language models to provide answers that are more accurate and informative. Many existing tool…
Some estimates for the bilinear fractional integrals on the Morrey space
Xiao Yu, Xiangxing Tao, Huihui Zhang +1
In this paper, we are interested in the following bilinear fractional integral operator defined by \[ B\mathcal{I}_α({f,g})(x)=\int_{% %TCIMACRO{\U{211d} }% %Beg…
CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting
Yin Shen, Zhaojie Fang, Ke Zhuang +8
Pulmonary nodules are an early sign of lung cancer, and detecting them early is vital for improving patient survival rates. Most current methods use only single Computed Tomography…
Practitioners' Expectations on Log Anomaly Detection
Xiaoxue Ma, Yishu Li, Jacky Keung +5
Log anomaly detection has become a common practice for software engineers to analyze software system behavior. Despite significant research efforts in log anomaly detection over th…
SIGL: Securing Software Installations Through Deep Graph Learning
Xueyuan Han, Xiao Yu, Thomas Pasquier +5
Many users implicitly assume that software can only be exploited after it is installed. However, recent supply-chain attacks demonstrate that application integrity must be ensured…
Diffusion Synthesizer for Efficient Multilingual Speech to Speech Translation
Nameer Hirschkind, Xiao Yu, Mahesh Kumar Nandwana +9
We introduce DiffuseST, a low-latency, direct speech-to-speech translation system capable of preserving the input speaker's voice zero-shot while translating from multiple source l…
Semileptonic decays of doubly charmed baryons with mixing
Chao-Qiang Geng, Xian-Nan Jin, Chia-Wei Liu +2
We study the mixing effects in the semileptonic decays the doubly charm baryons of . We focus on the ratio of ${\cal R}(θ_c) \equiv {\cal B}( Î_{cc} \to Î…
Improving Model Training via Self-learned Label Representations
Xiao Yu, Nakul Verma
Modern neural network architectures have shown remarkable success in several large-scale classification and prediction tasks. Part of the success of these architectures is their fl…
A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts
Zhen Yang, Jacky Keung, Xiao Yu +4
Code comment has been an important part of computer programs, greatly facilitating the understanding and maintenance of source code. However, high-quality code comments are often u…
Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models
Yu-ting Qiang, Yanwei Fu, Xiao Yu +3
Researchers often summarize their work in the form of scientific posters. Posters provide a coherent and efficient way to convey core ideas expressed in scientific papers. Generati…
Propagation Phenomena for A Reaction-Advection-Diffusion Competition Model in A Periodic Habitat
Xiao Yu, Xiao-Qiang Zhao
This paper is devoted to the study of propagation phenomena for a Lotka-Volterra reaction-advection-diffusion competition model in a periodic habitat. We first investigate the glob…
Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?
Xiao Yu, Lei Liu, Xing Hu +3
With the increasing utilization of large language models such as ChatGPT during software development, it has become crucial to verify the quality of code content it generates. Rece…
PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling
Xiao Yu, Yan Fang, Xiaojie Jin +2
Audio-visual event parsing plays a crucial role in understanding multimodal video content, but existing methods typically rely on offline processing of entire videos with huge mode…
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
Xiao Yu, Yuang Qi, Kejiang Chen +6
Large language models (LLMs) have the potential to generate texts that pose risks of misuse, such as plagiarism, planting fake reviews on e-commerce platforms, or creating inflamma…
ReasonCD: A Multimodal Reasoning Large Model for Implicit Change-of-Interest Semantic Mining
Zhenyang Huang, Xiao Yu, Yi Zhang +2
Remote sensing image change detection is one of the fundamental tasks in remote sensing intelligent interpretation. Its core objective is to identify changes within change regions…
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems: Developments and Challenges
Xiang Yin, Bingzhao Gao, Xiao Yu
In recent years, formal methods have been extensively used in the design of autonomous systems. By employing mathematically rigorous techniques, formal methods can provide fully au…
Distantly-Supervised Joint Extraction with Noise-Robust Learning
Yufei Li, Xiao Yu, Yanghong Guo +3
Joint entity and relation extraction is a process that identifies entity pairs and their relations using a single model. We focus on the problem of joint extraction in distantly-la…
Identification of Challenging Highway-Scenarios for the Safety Validation of Automated Vehicles Based on Real Driving Data
Thomas Ponn, Matthias BreitfuÃ, Xiao Yu +1
For a successful market launch of automated vehicles (AVs), proof of their safety is essential. Due to the open parameter space, an infinite number of traffic situations can occur,…
Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report
Shanghai AI Lab, :, Xiaoyang Chen +35
To understand and identify the unprecedented risks posed by rapidly advancing artificial intelligence (AI) models, this report presents a comprehensive assessment of their frontier…
Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planning
Xiao Yu, Maximillian Chen, Zhou Yu
Planning for goal-oriented dialogue often requires simulating future dialogue interactions and estimating task progress. Many approaches thus consider training neural networks to p…
Diverse Title Generation for Stack Overflow Posts with Multiple Sampling Enhanced Transformer
Fengji Zhang, Jin Liu, Yao Wan +3
Stack Overflow is one of the most popular programming communities where developers can seek help for their encountered problems. Nevertheless, if inexperienced developers fail to d…
Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
Xiao Yu, Baolin Peng, Michel Galley +6
Reasoning models have recently shown remarkable progress in domains such as math and coding. However, their expert-level abilities in math and coding contrast sharply with their pe…
Controllable Mixed-Initiative Dialogue Generation through Prompting
Maximillian Chen, Xiao Yu, Weiyan Shi +2
Mixed-initiative dialogue tasks involve repeated exchanges of information and conversational control. Conversational agents gain control by generating responses that follow particu…
R2ComSync: Improving Code-Comment Synchronization with In-Context Learning and Reranking
Zhen Yang, Hongyi Lin, Xiao Yu +5
Code-Comment Synchronization (CCS) aims to synchronize the comments with code changes in an automated fashion, thereby significantly reducing the workload of developers during soft…
Invasion Fronts in Shifting Habitats and Competition Systems: A Hamilton-Jacobi Approach and Nonlocal Effects
King-Yeung Lam, Chang-Hong Wu, Xiao Yu
We review recent developments in the study of spreading phenomena in reaction--diffusion equations arising from ecological invasion models. Motivated by the conjecture of Shigesada…
Signal Temporal Logic Motion Planning via Graphs of Convex Sets
Yu Chen, Ancheng Hou, Mingyang Feng +2
This paper investigates continuous-time motion planning under Signal Temporal Logic (STL) specifications. The goal is to generate smooth robot trajectories that satisfy high-level…
IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation
Xiao Yu, Yan Fang, Yao Zhao +1
Class incremental learning aims to enable models to learn from sequential, non-stationary data streams across different tasks without catastrophic forgetting. In class incremental…
ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining
Xiao Yu, Ruize Xu, Chengyuan Xue +3
A reliable resume-job matching system helps a company recommend suitable candidates from a pool of resumes and helps a job seeker find relevant jobs from a list of job posts. Howev…
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data
Yufei Li, Xiao Yu, Yanchi Liu +2
Jointly extracting entity pairs and their relations is challenging when working on distantly-supervised data with ambiguous or noisy labels. To mitigate such impact, we propose unc…
Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents
Xiao Yu, Baolin Peng, Ruize Xu +5
Recent progress in reasoning with large language models (LLMs), such as DeepSeek-R1, demonstrates impressive capabilities in domains like mathematics and coding, by exhibiting comp…
On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations
Xiaoxue Ma, Huiqi Zou, Pinjia He +4
Numerous Deep Learning (DL)-based approaches have gained attention in software Log Anomaly Detection (LAD), yet class imbalance in training data remains a challenge, with anomalies…
Orchard: An Open-Source Agentic Modeling Framework
Baolin Peng, Wenlin Yao, Qianhui Wu +11
Agentic modeling aims to transform LLMs into autonomous agents capable of solving complex tasks through planning, reasoning, tool use, and multi-turn interaction with external envi…
MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism
Ruidong Zhu, Ziheng Jiang, Chao Jin +17
Mixture-of-Experts (MoE) showcases tremendous potential to scale large language models (LLMs) with enhanced performance and reduced computational complexity. However, its sparsely…
VideoWorld 2: Learning Transferable Knowledge from Real-world Videos
Zhongwei Ren, Yunchao Wei, Xiao Yu +5
Learning transferable knowledge from unlabeled video data and applying it in new environments is a fundamental capability of intelligent agents. This work presents VideoWorld 2, wh…
Categorizing representations of scalar mesons by decays
Chao-Qiang Geng, Chia-Wei Liu, Xiao Yu +1
The scalar mesons are established for a long time, but their nature is still an open question. In this paper, we investigate the potential of categorizing their represent…
A recipe of training neural network-based LDPC decoders
Guangwen Li, Xiao Yu
It is known belief propagation decoding variants of LDPC codes can be unrolled easily as neural networks after assigning differed weights to message passing edges flexibly. In this…
Diagnosing Training Inference Mismatch in LLM Reinforcement Learning
Tianle Zhong, Neiwen Ling, Yifan Pi +5
Modern LLM RL systems separate rollout generation from policy optimization. These two stages are expected to produce token probabilities that match exactly. However, implementation…
FastKASSIM: A Fast Tree Kernel-Based Syntactic Similarity Metric
Maximillian Chen, Caitlyn Chen, Xiao Yu +1
Syntax is a fundamental component of language, yet few metrics have been employed to capture syntactic similarity or coherence at the utterance- and document-level. The existing st…
OpenForgeRL: Train Harness-native Agents in Any Environment
Xiao Yu, Baolin Peng, Ruize Xu +7
Modern AI agents rely on elaborate inference harnesses such as Claude Code, Codex, and OpenClaw to drive multi-turn reasoning, tool use, and access to external systems. While power…
AI Agents for Web Testing: A Case Study in the Wild
Naimeng Ye, Xiao Yu, Ruize Xu +2
Automated web testing plays a critical role in ensuring high-quality user experiences and delivering business value. Traditional approaches primarily focus on code coverage and loa…
OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks
Mengqi Yuan, Zilong Zhou, Xinzhuang Xiong +33
The paper presents OSWorld 2.0, a benchmark consisting of 108 long‑horizon, real‑world computer‑use workflows designed to evaluate how well AI agents can handle complex, multi‑step…
Don't Use a Cannon to Kill a Fly: Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations
Guancheng Lin, Xiao Yu, Jacky Keung +3
Pre-trained or fine-tuned on large code corpora, Large Language Models (LLMs) have demonstrated strong performance in code completion tasks. However, their embedded knowledge is co…
Teaching Language Models to Self-Improve through Interactive Demonstrations
Xiao Yu, Baolin Peng, Michel Galley +2
The self-improving ability of large language models (LLMs), enabled by prompting them to analyze and revise their own outputs, has garnered significant interest in recent research.…
Boosting Ordered Statistics Decoding of Short LDPC Codes with Simple Neural Network Models
Guangwen Li, Xiao Yu
Ordered statistics decoding has been instrumental in addressing decoding failures that persist after normalized min-sum decoding in short low-density parity-check codes. Despite it…
Deep learning based enhancement of ordered statistics decoding of short LDPC codes
Guangwen Li, Xiao Yu
In the search for highly efficient decoders for short LDPC codes approaching maximum likelihood performance, a relayed decoding strategy, specifically activating the ordered statis…
Where Is Self-admitted Code Generated by Large Language Models on GitHub?
Xiao Yu, Lei Liu, Xing Hu +2
The increasing use of Large Language Models (LLMs) in software development has garnered significant attention from researchers evaluating the capabilities and limitations of LLMs f…
LPUWF-LDM: Enhanced Latent Diffusion Model for Precise Late-phase UWF-FA Generation on Limited Dataset
Zhaojie Fang, Xiao Yu, Guanyu Zhou +10
Ultra-Wide-Field Fluorescein Angiography (UWF-FA) enables precise identification of ocular diseases using sodium fluorescein, which can be potentially harmful. Existing research ha…
Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review
Fengji Zhang, Zexian Zhang, Jacky Wai Keung +4
Code Smell Detection (CSD) plays a crucial role in improving software quality and maintainability. And Deep Learning (DL) techniques have emerged as a promising approach for CSD du…
Effective Application of Normalized Min-Sum Decoding for Short BCH Codes
Guangwen Li, Xiao Yu
This paper introduces an enhanced normalized min-sum decoder designed to address the performance and complexity challenges associated with developing parallelizable decoders for sh…
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey +4
Autonomous agents have demonstrated significant potential in automating complex multistep decision-making tasks. However, even state-of-the-art vision-language models (VLMs), such…
Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information
Fengji Zhang, Xiao Yu, Jacky Keung +5
Context: Stack Overflow is very helpful for software developers who are seeking answers to programming problems. Previous studies have shown that a growing number of questions are…
Neural-Model-Augmented Hybrid NMS-OSD Decoders for Near-ML in Short Block Codes
Guangwen Li, Xiao Yu
This paper presents a hybrid decoding architecture that serially couples a normalized min-sum (NMS) decoder with reinforced ordered statistics decoding (OSD) to achieve near-maximu…
Adaptive Transfer Learning of Multi-View Time Series Classification
Donglin Zhan, Shiyu Yi, Dongli Xu +6
Time Series Classification (TSC) has been an important and challenging task in data mining, especially on multivariate time series and multi-view time series data sets. Meanwhile,…
Regularized Entropy Information Adaptation with Temporal-Awareness Networks for Simultaneous Speech Translation
Joseph Liu, Nameer Hirschkind, Xiao Yu +1
Simultaneous Speech Translation (SimulST) requires balancing high translation quality with low latency. Recent work introduced REINA, a method that trains a Read/Write policy based…
Memory-Reduced Meta-Learning with Guaranteed Convergence
Honglin Yang, Ji Ma, Xiao Yu
The optimization-based meta-learning approach is gaining increased traction because of its unique ability to quickly adapt to a new task using only small amounts of data. However,…
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning
Xiao Yu, Qingyang Wu, Kun Qian +1
In task-oriented dialogs (TOD), reinforcement learning (RL) algorithms train a model to directly optimize response for task-related metrics. However, RL needs to perform exploratio…
Commutators of weighted Hardy operator on weighted -central Morrey space
Huihui Zhang, Yan Lin, Xiao Yu
In this paper, the authors prove the boundedness of commutators generated by the weighted Hardy operator on weighted -central Morrey space with the weight satisfying the d…
HumanEval-V: Benchmarking High-Level Visual Reasoning with Complex Diagrams in Coding Tasks
Fengji Zhang, Linquan Wu, Huiyu Bai +6
Understanding and reasoning over diagrams is a fundamental aspect of human intelligence. While Large Multimodal Models (LMMs) have demonstrated impressive capabilities across vario…
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
Ruijia Liu, Ancheng Hou, Xiao Yu +1
Signal Temporal Logic (STL) is a powerful specification language for describing complex temporal behaviors of continuous signals, making it well-suited for high-level robotic task…
Dispersion-Aware Modeling Framework for Parallel Optical Computing
Ziqi Wei, Yuanjian Wan, Yuhu Cheng +2
Optical computing represents a groundbreaking technology that leverages the unique properties of photons, with innate parallelism standing as its most compelling advantage. Paralle…
Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning
Si Chen, Xiao Yu, Ninareh Mehrabi +3
The exploitation of large language models (LLMs) for malicious purposes poses significant security risks as these models become more powerful and widespread. While most existing re…
ConFit v3: Improving Resume-Job Matching with LLM-based Re-Ranking
Xiao Yu, Ruize Xu, Chengyuan Xue +6
A reliable resume-job matching system helps a company find suitable candidates from a pool of resumes and helps a job seeker find relevant jobs from a list of job posts. While rece…
DGSAN: Dual-Graph Spatiotemporal Attention Network for Pulmonary Nodule Malignancy Prediction
Xiao Yu, Zhaojie Fang, Guanyu Zhou +7
Lung cancer continues to be the leading cause of cancer-related deaths globally. Early detection and diagnosis of pulmonary nodules are essential for improving patient survival rat…
Hidden strangeness in meson weak decays to baryon pair
Chao-Qiang Geng, Xiang-Nan Jin, Chia-Wei Liu +1
Our study focuses on the weak decay of , which is the only possible two-body baryonic decay in the meson system. An analysis using perturbative qu…
Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking
Chen Wang, Xiaokai Wei, Yexi Jiang +7
With the vast and dynamic user-generated content on Roblox, creating effective game recommendations requires a deep understanding of game content. Traditional recommendation models…