张婷｜成都信息工程大学｜学者主页

2026

Non-Parametric Structural Priors for Geometry Theorem Prediction

Junbo Zhao, Ting Zhang, Can Li, Wei He, Jingdong Wang, Hua Huang

arXiv preprint

2026

TitanCA: Lessons from Orchestrating LLM Agents to Discover 100+ CVEs

Ting Zhang, Yikun Li, Chengran Yang, Ratnadira Widyasari, Yue Liu, Ngoc Tan Bui, Phuc Thanh Nguyen, Yan Naing Tun, Ivana Clairine Irsan, Huu Hung Nguyen, Huihui Huang, Jinfeng Jiang, Lwin Khin Shar, Eng Lieh Ouh, David Lo, Hong Jin Kang, Yide Yin, Wen Bin Leow

arXiv preprint

2026

An Execution-Verified Multi-Language Benchmark for Code Semantic Reasoning

Yikun Li, Jinfeng Jiang, Ting Zhang, Chengran Yang, Chenxing Zhong, Yin Yide, Leow Wen Bin, Eng Lieh Ouh, Lwin Khin Shar, David Lo

arXiv preprint

2026

LIDL: LLM Integration Defect Localization via Knowledge Graph-Enhanced Multi-Agent Analysis

Gou Tan, Zilong He, Min Li, Pengfei Chen, Jieke Shi, Zhensu Sun, Ting Zhang, Danwen Chen, Lwin Khin Shar, Chuanfu Zhang, David Lo

arXiv preprint

2026

Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection

Yikun Li, Ting Zhang, Jieke Shi, Chengran Yang, Junda He, Xin Zhou, Jinfeng Jiang, Huihui Huang, Wen Bin Leow, Yide Yin, Eng Lieh Ouh, Lwin Khin Shar, David Lo

arXiv preprint

2026

After the Party: Growth, Governance, and Security Scanning in the OpenClaw Agent Skill Ecosystem

Yunpeng Xiong, Ting Zhang

arXiv preprint

2026

Trustworthy Runtime Error Healing in Real-World Repositories: A Benchmark and Guardrail

Gou Tan, Pengfei Chen, Zhensu Sun, Jieke Shi, Junkai Chen, Ting Zhang, Weifeng Sun, Junda He, Shuai Liang, Chuanfu Zhang, Lwin Khin Shar, David Lo

arXiv preprint

2026

FTibSuite: A Comprehensive Resource Suite for Tibetan Vision-Language Modeling

Guixian Xu, Yide Liang, Zeli Su, Xuexian Song, Ziyin Zhang, Yushuang Dong, Ting Zhang, Xu Han

arXiv preprint

2026

Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation

Chengran Yang, Zichao Wei, Heminghao Deng, Jinfeng Jiang, Zhensu Sun, Ting Zhang, Tianyi Wu, Ming Wen, David Lo

arXiv preprint

2026

FollowTable: A Benchmark for Instruction-Following Table Retrieval

Rihui Jin, Yuchen Lu, Ting Zhang, Jun Wang, Kuicai Dong, Zhaocheng Du, Dongping Liu, Gang Wang, Yong Liu, Guilin Qi

arXiv preprint

DOI

2026

PenForge: On-the-Fly Expert Agent Construction for Automated Penetration Testing

Huihui Huang, Jieke Shi, Junkai Chen, Ting Zhang, Yikun Li, Chengran Yang, Eng Lieh Ouh, Lwin Khin Shar, David Lo

arXiv preprint

2026

Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering

Yunpeng Xiong, Ting Zhang

arXiv preprint

DOI

2026

Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection

Yikun Li, Ting Zhang, Jiakun Liu, Jinfeng Jiang, Yuheng Yieh, Yixin Yang, Wen Bin Leow, Yide Yin, Yintong Huo, Eng Lieh Ouh, Lwin Khin Shar, David Lo

arXiv preprint

2026

Towards Scalable and Cost-Efficient Vulnerability Detection: A Study on Automatic Query Generation

Ivana Clairine Irsan, Ratnadira Widyasari, Huihui Huang, Ting Zhang, Yue Liu, Ouh Eng Lieh, Shar Lwin Khin, Kang Hong Jin, David Lo

arXiv preprint

2026

PoCEvolve: Generating Proof-of-Concept Exploits from Security Patches with Vulnerability-Aware Prompt Evolution

Duc Manh Tran, Ratnadira Widyasari, Ivana Clairine Irsan, Huihui Huang, Ting Zhang, Shar Lwin Khin, Ouh Eng Lieh, Hong Jin Kang, David Lo

arXiv preprint

2026

Vul4Py: Benchmarking Automated Vulnerability Repair in Python with Paired Exploit and Functional Oracles

Tan Bui, Ting Zhang, Ferdian Thung, Yunpeng Xiong, Penghao Jiang, Xin Zhou, David Lo

arXiv preprint

2026

Verifiable Geometry Problem Solving: Solver-Driven Autoformalization and Theorem Proposing

Can Li, Ting Zhang, Junbo Zhao, Hua Huang

arXiv preprint

2026

CoSA: Context-Aware Severity Assessment via Context Analysis with Large Language Models

Jinfeng Jiang, Yikun Li, Chengran Yang, Ting Zhang, Wen Bin Leow, Yide Yin, Eng Lieh Ouh, Lwin Khin Shar, David Lo

arXiv preprint

2026

"Go Home Copilot, You're Drunk": Understanding Developer Responses to Agent-Generated Code Review Comments

Shamse Tasnim Cynthia, Ratnadira Widyasari, Banani Roy, Ting Zhang, David Lo

arXiv preprint

2026

How Agentic AI Coding Assistants Become the Attacker's Shell

Yue Liu, Yanjie Zhao, Yunbo Lyu, Ting Zhang, Haoyu Wang, David Lo

arXiv preprint

2026

Revisiting Vulnerability Patch Identification on Data in the Wild

Ivana Clairine Irsan, Ratnadira Widyasari, Ting Zhang, Huihui Huang, Ferdian Thung, Yikun Li, Lwin Khin Shar, Eng Lieh Ouh, Hong Jin Kang, David Lo

arXiv preprint

2026

VulContextBench: A Benchmark for Security Context Retrieval in Coding Agents

Yikun Li, Jinfeng Jiang, Yuheng Yieh, Ting Zhang, Yide Yin, Wen Bin Leow, Eng Lieh Ouh, Lwin Khin Shar, David Lo

arXiv preprint

2025

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection

Ting Zhang, Chengran Yang, Yindu Su, Martin Weyssow, Hung Nguyen, Tan Bui, Hong Jin Kang, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo

arXiv preprint

2025

Pi-GPS: Enhancing Geometry Problem Solving by Unleashing the Power of Diagrammatic Information

Junbo Zhao, Ting Zhang, Jiayu Sun, Mi Tian, Hua Huang

arXiv preprint

2025

MagicGeo: Training-Free Text-Guided Geometric Diagram Generation

Junxiao Wang, Ting Zhang, Heng Yu, Jingdong Wang, Hua Huang

arXiv preprint

2025

Discerning minds or generic tutors? Evaluating instructional guidance capabilities in Socratic LLMs

Ying Liu, Can Li, Ting Zhang, Mei Wang, Qiannan Zhu, Jian Li, Hua Huang

arXiv preprint

2025

GeoLoom: High-quality Geometric Diagram Generation from Textual Input

Xiaojing Wei, Ting Zhang, Wei He, Jingdong Wang, Hua Huang

arXiv preprint

2025

TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification

Yindu Su, Huike Zou, Lin Sun, Ting Zhang, Haiyang Yang, Liyu Chen, David Lo, Qingheng Zhang, Shuguang Han, Jufeng Chen

arXiv preprint

2025

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones

Tan Bui, Yan Naing Tun, Thanh Phuc Nguyen, Yindu Su, Ferdian Thung, Yikun Li, Han Wei Ang, Yide Yin, Frank Liauw, Lwin Khin Shar, Eng Lieh Ouh, Ting Zhang, David Lo

arXiv preprint

2025

PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings

Huu Hung Nguyen, Anh Tuan Nguyen, Thanh Le-Cong, Yikun Li, Han Wei Ang, Yide Yin, Frank Liauw, Shar Lwin Khin, Ouh Eng Lieh, Ting Zhang, David Lo

arXiv preprint

2025

RDTF: Resource-efficient Dual-mask Training Framework for Multi-frame Animated Sticker Generation

Zhiqiang Yuan, Ting Zhang, Peixiang Luo, Ying Deng, Jiapei Zhang, Zexi Jia, Jinchao Zhang, Jie Zhou

arXiv preprint

2025

CMHG: A Dataset and Benchmark for Headline Generation of Minority Languages in China

Guixian Xu, Zeli Su, Ziyin Zhang, Jianing Liu, XU Han, Ting Zhang, Yushuang Dong

arXiv preprint

2025

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses?

Yikun Li, Ngoc Tan Bui, Ting Zhang, Chengran Yang, Xin Zhou, Martin Weyssow, Jinfeng Jiang, Junkai Chen, Huihui Huang, Huu Hung Nguyen, Chiok Yew Ho, Jie Tan, Ruiyin Li, Yide Yin, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo

arXiv preprint

DOI

2025

Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval

Huihui Huang, Ratnadira Widyasari, Ting Zhang, Ivana Clairine Irsan, Jieke Shi, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo

arXiv preprint

2025

Aligning Academia with Industry: An Empirical Study of Industrial Needs and Academic Capabilities in AI-Driven Software Engineering

Hang Yu, Yuzhou Lai, Li Zhang, Xiaoli Lian, Fang Liu, Yanrui Dong, Ting Zhang, Zhi Jin, David Lo

arXiv preprint

2025

R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation

Martin Weyssow, Chengran Yang, Junkai Chen, Ratnadira Widyasari, Ting Zhang, Huihui Huang, Huu Hung Nguyen, Yan Naing Tun, Tan Bui, Yikun Li, Ang Han Wei, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo

arXiv preprint

2025

Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages

Zeli Su, Ziyin Zhang, Guixian Xu, Jianing Liu, XU Han, Ting Zhang, Yushuang Dong

arXiv preprint

2025

GNN-Coder: Boosting Semantic Code Retrieval with Combined GNNs and Transformer

Yufan Ye, Pu Pang, Ting Zhang, Hua Huang

arXiv preprint

2025

VisioMath: Benchmarking Figure-based Mathematical Reasoning in LMMs

Can Li, Ying Liu, Ting Zhang, Mei Wang, Hua Huang

arXiv preprint

2025

SMART: Self-Generating and Self-Validating Multi-Dimensional Assessment for LLMs' Mathematical Problem Solving

Yujie Hou, Mei Wang, Yaoyao Zhong, Ting Zhang, Xuetao Ma, Hua Huang

arXiv preprint

2025

Process-Supervised Reinforcement Learning for Code Generation

Yufan Ye, Ting Zhang, Wenbin Jiang, Hua Huang

arXiv preprint

2025

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks

Xin Zhou, Martin Weyssow, Ratnadira Widyasari, Ting Zhang, Junda He, Yunbo Lyu, Jianming Chang, Beiqi Zhang, Dan Huang, David Lo

arXiv preprint

2025

From Answers to Questions: EQGBench for Evaluating LLMs' Educational Question Generation

Chengliang Zhou, Mei Wang, Ting Zhang, Qiannan Zhu, Jian Li, Hua Huang

arXiv preprint

2025

Mapping NVD Records to Their Vulnerability-fixing Commits: How Hard is It?

Huu Hung Nguyen, Ting Zhang, Duc Manh Tran, Yiran Cheng, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Shar Lwin Khin, Ouh Eng Lieh, David Lo

arXiv preprint

2025

Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software

Yiran Cheng, Ting Zhang, Lwin Khin Shar, Zhe Lang, David Lo, Shichao Lv, Dongliang Fang, Zhiqiang Shi, Limin Sun

arXiv preprint

2025

An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks

Xin Zhou, Kisub Kim, Ting Zhang, Martin Weyssow, Luis F. Gomes, Guang Yang, Kui Liu, Xin Xia, David Lo

arXiv preprint

2025

"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors

Yue Liu, Yanjie Zhao, Yunbo Lyu, Ting Zhang, Haoyu Wang, David Lo

arXiv preprint

2025

SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios

Junkai Chen, Huihui Huang, Yunbo Lyu, Junwen An, Jieke Shi, Chengran Yang, Ting Zhang, Haoye Tian, Yikun Li, Zhenhao Li, Xin Zhou, Xing Hu, David Lo

arXiv preprint

2025

Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework

Chengran Yang, Ting Zhang, Jinfeng Jiang, Xin Zhou, Haoye Tian, Mingzhe Du, Jieke Shi, Junkai Chen, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo

arXiv preprint

2024

ILDiff: Generate Transparent Animated Stickers by Implicit Layout Distillation

Ting Zhang, Zhiqiang Yuan, Yeshuang Zhu, Jinchao Zhang

arXiv preprint

2024

WalkVLM:Aid Visually Impaired People Walking by Vision Language Model

Zhiqiang Yuan, Ting Zhang, Ying Deng, Jiapei Zhang, Yeshuang Zhu, Zexi Jia, Jie Zhou, Jinchao Zhang

arXiv preprint

2024

JavaVFC: Java Vulnerability Fixing Commits from Open-source Software

Tan Bui, Yan Naing Tun, Yiran Cheng, Ivana Clairine Irsan, Ting Zhang, Hong Jin Kang

arXiv preprint

2024

On Evaluating the Efficiency of Source Code Generated by LLMs

Changan Niu, Ting Zhang, Chuanyi Li, Bin Luo, Vincent Ng

arXiv preprint

2024

Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection

Xin Zhou, Duc-Manh Tran, Thanh Le-Cong, Ting Zhang, Ivana Clairine Irsan, Joshua Sumarlin, Bach Le, David Lo

arXiv preprint

2024

VERCATION: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM

Yiran Cheng, Ting Zhang, Lwin Khin Shar, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun

arXiv preprint

2024

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics

Yikun Li, Ting Zhang, Ratnadira Widyasari, Yan Naing Tun, Huu Hung Nguyen, Tan Bui, Ivana Clairine Irsan, Yiran Cheng, Xiang Lan, Han Wei Ang, Frank Liauw, Martin Weyssow, Hong Jin Kang, Eng Lieh Ouh, Lwin Khin Shar, David Lo

arXiv preprint

2024

Large Language Model for Vulnerability Detection: Emerging Results and Future Directions

Xin Zhou, Ting Zhang, David Lo

arXiv preprint

2023

Evaluating Pre-trained Language Models for Repairing API Misuses

Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo, Asankhaya Sharma, Lingxiao Jiang

arXiv preprint

2023

CUPID: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection

Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo

arXiv preprint

2023

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models

Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo

arXiv preprint

DOI

2023

PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts

Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo

arXiv preprint

2023

APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge

Kisub Kim, Ferdian Thung, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo

arXiv preprint

2023

APIHarvest: Harvesting API Information from Various Online Sources

Ferdian Thung, Kisub Kim, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo

arXiv preprint

2023

Representation Learning for Stack Overflow Posts: How Far are We?

Junda He, Zhou Xin, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Irsan, David Lo

arXiv preprint

2023

Explaining Explanation: An Empirical Study on Explanation in Code Reviews

Ratnadira Widyasari, Ting Zhang, Abir Bouraffa, Walid Maalej, David Lo

arXiv preprint

2022

Duplicate Bug Report Detection: How Far Are We?

Ting Zhang, DongGyun Han, Venkatesh Vinayakarao, Ivana Clairine Irsan, Bowen Xu, Ferdian Thung, David Lo, Lingxiao Jiang

arXiv preprint

DOI

2022

AutoPRTitle: A Tool for Automatic Pull Request Title Generation

Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, David Lo, Lingxiao Jiang

arXiv preprint

2022

iTiger: An Automatic Issue Title Generation Tool

Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang

arXiv preprint

DOI

2022

Answer Summarization for Technical Queries: Benchmark and New Approach

Yang Chengran, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo

arXiv preprint

2019

Multiresolution Graph Attention Networks for Relevance Matching

Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu

arXiv preprint

DOI

2018

Matching Natural Language Sentences with Hierarchical Sentence Factorization

Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu

arXiv preprint

DOI

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地基云雷达与FY-4A卫星云顶高度联合反演方法

基于多种通信方式的海洋浮标站海洋气象灾害预警系统设计与开发

全球气候变化大背景下我国海洋预警监测工作进展综述

气象观测设备测试与试验系统设计与实现

不同时间尺度下中国东部夏季最高温度观测与再分析资料的比较

非球形气溶胶对近红外偏振辐射传输的影响及等效球形误差分析

新疆新型自动站干扰故障实例分析

FTIR检测大气气溶胶中的可溶性离子

2008年5—6月华南地区强降水过程的大尺度环流背景

采暖期和非采暖期西安大气颗粒物中水溶性组分的化学特征

华南地区汛期极端降水的概率分布特征

西安市春季大气细粒子的质量浓度及其水溶性组分的特征

酸雨PH值测量误差产生原因及精度提高措施

会议论文

西安市大气PM 2.5 中水溶性离子组分的季节变化和来源特征

兵马俑陶器库室内空气质量初步研究

西安市春季大气细粒子的浓度水平及其水溶性组分的特征

西安市春夏季气体及PM 2．5 中水溶性组分的污染特征

预印本

Non-Parametric Structural Priors for Geometry Theorem Prediction

TitanCA: Lessons from Orchestrating LLM Agents to Discover 100+ CVEs

An Execution-Verified Multi-Language Benchmark for Code Semantic Reasoning

LIDL: LLM Integration Defect Localization via Knowledge Graph-Enhanced Multi-Agent Analysis

Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection

After the Party: Growth, Governance, and Security Scanning in the OpenClaw Agent Skill Ecosystem

Trustworthy Runtime Error Healing in Real-World Repositories: A Benchmark and Guardrail

FTibSuite: A Comprehensive Resource Suite for Tibetan Vision-Language Modeling

Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation

FollowTable: A Benchmark for Instruction-Following Table Retrieval

PenForge: On-the-Fly Expert Agent Construction for Automated Penetration Testing

Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering

Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection

Towards Scalable and Cost-Efficient Vulnerability Detection: A Study on Automatic Query Generation

PoCEvolve: Generating Proof-of-Concept Exploits from Security Patches with Vulnerability-Aware Prompt Evolution

Vul4Py: Benchmarking Automated Vulnerability Repair in Python with Paired Exploit and Functional Oracles

Verifiable Geometry Problem Solving: Solver-Driven Autoformalization and Theorem Proposing

CoSA: Context-Aware Severity Assessment via Context Analysis with Large Language Models

"Go Home Copilot, You're Drunk": Understanding Developer Responses to Agent-Generated Code Review Comments

How Agentic AI Coding Assistants Become the Attacker's Shell

Revisiting Vulnerability Patch Identification on Data in the Wild

VulContextBench: A Benchmark for Security Context Retrieval in Coding Agents

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection

Pi-GPS: Enhancing Geometry Problem Solving by Unleashing the Power of Diagrammatic Information

MagicGeo: Training-Free Text-Guided Geometric Diagram Generation

Discerning minds or generic tutors? Evaluating instructional guidance capabilities in Socratic LLMs

GeoLoom: High-quality Geometric Diagram Generation from Textual Input

TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones

PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings

RDTF: Resource-efficient Dual-mask Training Framework for Multi-frame Animated Sticker Generation

CMHG: A Dataset and Benchmark for Headline Generation of Minority Languages in China

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses?

Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval

Aligning Academia with Industry: An Empirical Study of Industrial Needs and Academic Capabilities in AI-Driven Software Engineering

R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation

Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages

GNN-Coder: Boosting Semantic Code Retrieval with Combined GNNs and Transformer

VisioMath: Benchmarking Figure-based Mathematical Reasoning in LMMs

SMART: Self-Generating and Self-Validating Multi-Dimensional Assessment for LLMs' Mathematical Problem Solving

Process-Supervised Reinforcement Learning for Code Generation

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks

From Answers to Questions: EQGBench for Evaluating LLMs' Educational Question Generation

Mapping NVD Records to Their Vulnerability-fixing Commits: How Hard is It?

Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software

An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks

"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors

SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios

Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework

ILDiff: Generate Transparent Animated Stickers by Implicit Layout Distillation

WalkVLM:Aid Visually Impaired People Walking by Vision Language Model

JavaVFC: Java Vulnerability Fixing Commits from Open-source Software

On Evaluating the Efficiency of Source Code Generated by LLMs

Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection

VERCATION: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics

Large Language Model for Vulnerability Detection: Emerging Results and Future Directions

Evaluating Pre-trained Language Models for Repairing API Misuses