MOPT: Optimized Mutation Scheduling for Fuzzers. - Chenyang Lyu; Shouling Ji; Chao Zhang 008; Yuwei Li; Wei-Han Lee; Yu Song; Raheem Beyah (USENIX Security Symposium, 2019)

Improving Document-Level Sentiment Analysis with User and Product Context. - Chenyang Lyu; Jennifer Foster; Yvette Graham (COLING, 2020)

Incorporating Context and Knowledge for Better Sentiment Analysis of Narrative Text. - Chenyang Lyu; Tianbo Ji; Yvette Graham (Text2Story@ECIR, 2020)

Improving Unsupervised Question Answering via Summarization-Informed Question Generation. - Chenyang Lyu; Lifeng Shang; Yvette Graham; Jennifer Foster; Xin Jiang 002; Qun Liu 001 (EMNLP (1), 2021)

UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers. - Yuwei Li; Shouling Ji; Yuan Chen; Sizhuang Liang; Wei-Han Lee; Yueyao Chen; Chenyang Lyu; Chunming Wu 001; Raheem Beyah; Peng Cheng 001; Kangjie Lu; Ting Wang 006 (USENIX Security Symposium, 2021)

Multi-Hop Question Generation Using Hierarchical Encoding-Decoding and Context Switch Mechanism. - Tianbo Ji; Chenyang Lyu; Zhichao Cao 003; Peng Cheng (Entropy, 2021)

Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains. - Chenyang Lyu; Jennifer Foster; Yvette Graham (Insights@ACL, 2022)

Achieving Reliable Human Assessment of Open-Domain Dialogue Systems. - Tianbo Ji; Yvette Graham; Gareth J. F. Jones; Chenyang Lyu; Qun Liu 001 (ACL (1), 2022)

SLIME: program-sensitive energy allocation for fuzzing. - Chenyang Lyu; Hong Liang; Shouling Ji; Xuhong Zhang 002; Binbin Zhao; Meng Han; Yun Li; Zhe Wang; Wenhai Wang; Raheem Beyah (ISSTA, 2022)

A large-scale empirical analysis of the vulnerabilities introduced by third-party components in IoT firmware. - Binbin Zhao; Shouling Ji; Jiacheng Xu; Yuan Tian 001; Qiuyang Wei; Qinying Wang; Chenyang Lyu; Xuhong Zhang 002; Changting Lin; Jingzheng Wu; Raheem Beyah (ISSTA, 2022)

EMS: History-Driven Mutation for Coverage-based Fuzzing. - Chenyang Lyu; Shouling Ji; Xuhong Zhang 002; Hong Liang; Binbin Zhao; Kangjie Lu; Raheem Beyah (NDSS, 2022)

Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis. - Chenyang Lyu; Linyi Yang; Yue Zhang 004; Yvette Graham; Jennifer Foster (CoRR, 2022)

QAScore - An Unsupervised Unreferenced Metric for the Question Generation Evaluation. - Tianbo Ji; Chenyang Lyu; Gareth J. F. Jones; Liting Zhou; Yvette Graham (Entropy, 2022)

V-Fuzz: Vulnerability Prediction-Assisted Evolutionary Fuzzing for Binary Programs. - Yuwei Li; Shouling Ji; Chenyang Lyu; Yuan Chen; Jianhai Chen; Qinchen Gu; Chunming Wu 001; Raheem Beyah (IEEE Trans. Cybern., 2022)

Semantic-Aware Dynamic Retrospective-Prospective Reasoning for Event-Level Video Question Answering. - Chenyang Lyu; Tianbo Ji; Yvette Graham; Jennifer Foster (ACL (student), 2023)

Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. - Chenyang Lyu; Linyi Yang; Yue Zhang 004; Yvette Graham; Jennifer Foster (ACL (Findings), 2023)

Dialogue-to-Video Retrieval. - Chenyang Lyu; Manh-Duy Nguyen; Van-Tu Ninh; Liting Zhou; Cathal Gurrin; Jennifer Foster (ECIR (2), 2023)

Document-Level Machine Translation with Large Language Models. - Longyue Wang; Chenyang Lyu; Tianbo Ji; Zhirui Zhang; Dian Yu 001; Shuming Shi 001; Zhaopeng Tu (EMNLP, 2023)

Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. - Linyi Yang; Yaoxian Song; Xuan Ren; Chenyang Lyu; Yidong Wang; Jingming Zhuo; Lingqiao Liu; Jindong Wang 001; Jennifer Foster; Yue Zhang 004 (EMNLP, 2023)

Gated Multi-modal Fusion with Cross-modal Contrastive Learning for Video Question Answering. - Chenyang Lyu; Wenxi Li; Tianbo Ji; Liting Zhou; Cathal Gurrin (ICANN (7), 2023)

Graph-Based Video-Language Learning with Multi-Grained Audio-Visual Alignment. - Chenyang Lyu; Wenxi Li; Tianbo Ji; Longyue Wang; Liting Zhou; Cathal Gurrin; Linyi Yang; Yi Yu 001; Yvette Graham; Jennifer Foster (ACM Multimedia, 2023)

Overview of the NTCIR-17 Lifelog-5 Task. - Liting Zhou; Graham Healy; Cathal Gurrin; Ly-Duyen Tran; Naushad Alam; Hideo Joho; Longyue Wang; Tianbo Ji; Chenyang Lyu; Duc-Tien Dang-Nguyen (NTCIR, 2023)

Is a Video worth n n Images? A Highly Efficient Approach to Transformer-based Video Question Answering. - Chenyang Lyu; Tianbo Ji; Yvette Graham; Jennifer Foster (SustaiNLP, 2023)

MINER: A Hybrid Data-Driven Approach for REST API Fuzzing. - Chenyang Lyu; Jiacheng Xu; Shouling Ji; Xuhong Zhang 002; Qinying Wang; Binbin Zhao; Gaoning Pan; Wei Cao; Peng Cheng 001; Raheem Beyah (USENIX Security Symposium, 2023)

UVSCAN: Detecting Third-Party Component Usage Violations in IoT Firmware. - Binbin Zhao; Shouling Ji; Xuhong Zhang 002; Yuan Tian 001; Qinying Wang; Yuwen Pu; Chenyang Lyu; Raheem Beyah (USENIX Security Symposium, 2023)

Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs. - Longyue Wang; Zhaopeng Tu; Yan Gu; Siyou Liu; Dian Yu 001; Qingsong Ma; Chenyang Lyu; Liting Zhou; Chao-Hong Liu; Yufeng Ma; Weiyu Chen; Yvette Graham; et al. (WMT, 2023)

MINER: A Hybrid Data-Driven Approach for REST API Fuzzing. - Chenyang Lyu; Jiacheng Xu; Shouling Ji; Xuhong Zhang 002; Qinying Wang; Binbin Zhao; Gaoning Pan; Wei Cao; Raheem Beyah (CoRR, 2023)

New Trends in Machine Translation using Large Language Models: Case Examples with ChatGPT. - Chenyang Lyu; Jitao Xu 003; Longyue Wang (CoRR, 2023)

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future. - Linyi Yang; Yaoxiao Song; Xuan Ren; Chenyang Lyu; Yidong Wang; Lingqiao Liu; Jindong Wang 001; Jennifer Foster; Yue Zhang 004 (CoRR, 2023)

Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration. - Chenyang Lyu; Minghao Wu; Longyue Wang; Xinting Huang; Bingshuai Liu; Zefeng Du; Shuming Shi 001; Zhaopeng Tu (CoRR, 2023)

A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering. - Yunxin Li; Longyue Wang; Baotian Hu; Xinyu Chen 003; Wanqi Zhong; Chenyang Lyu; Min Zhang 005 (CoRR, 2023)

Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models. - Bingshuai Liu; Chenyang Lyu; Zijun Min; Zhanyu Wang; Jinsong Su; Longyue Wang (CoRR, 2023)

Benchmarking and Improving Long-Text Translation with Large Language Models. - Longyue Wang; Zefeng Du; Wenxiang Jiao; Chenyang Lyu; Jianhui Pang; Leyang Cui; Kaiqiang Song; Derek F. Wong; Shuming Shi 001; Zhaopeng Tu (ACL (Findings), 2024)

A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models. - Chenyang Lyu; Zefeng Du; Jitao Xu 003; Yitao Duan; Minghao Wu; Teresa Lynn; Alham Fikri Aji; Derek F. Wong; Longyue Wang (LREC/COLING, 2024)

On the Cultural Gap in Text-to-Image Generation. - Bingshuai Liu; Longyue Wang; Chenyang Lyu; Yong Zhang 034; Jinsong Su; Shuming Shi 001; Zhaopeng Tu (ECAI, 2024)

Reference-free Hallucination Detection for Large Vision-Language Models. - Qing Li 038; Jiahui Geng; Chenyang Lyu; Derui Zhu; Maxim Panov; Fakhri Karray (EMNLP (Findings), 2024)

Semantic Enrichment for Video Question Answering with Gated Graph Neural Networks. - Chenyang Lyu; Wenxi Li; Tianbo Ji; Yi Yu 001; Longyue Wang (ICASSP, 2024)

GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation. - Zhanyu Wang; Longyue Wang; Zhen Zhao 001; Minghao Wu; Chenyang Lyu; Huayang Li; Deng Cai 002; Luping Zhou; Shuming Shi 001; Zhaopeng Tu (ACM Multimedia, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Santiago Góngora; Aishik Mandal; Sukannya Purkayastha; Jesús-Germán Ortiz-Barajas; Emilio Villa-Cueva; Jinheon Baek; Soyeong Jeong; Injy Hamed; Zheng Xin Yong; et al. (NeurIPS, 2024)

SyzTrust: State-aware Fuzzing on Trusted OS Designed for IoT Devices. - Qinying Wang; Boyu Chang; Shouling Ji; Yuan Tian 001; Xuhong Zhang 002; Binbin Zhao; Gaoning Pan; Chenyang Lyu; Mathias Payer; Wenhai Wang; Raheem Beyah (SP, 2024)

Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation. - Longyue Wang; Siyou Liu; Chenyang Lyu; Wenxiang Jiao; Xing Wang 007; Jiahao Xu; Zhaopeng Tu; Yan Gu; Weiyu Chen; Minghao Wu; Liting Zhou; Philipp Koehn; et al. (WMT, 2024)

Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models. - Chenyang Lyu; Minghao Wu; Alham Fikri Aji (CoRR, 2024)

Can a Multichoice Dataset be Repurposed for Extractive Question Answering? - Teresa Lynn; Malik H. Altakrori; Samar Mohamed Magdy; Rocktim Jyoti Das; Chenyang Lyu; Mohamed Nasr; Younes Samih; Alham Fikri Aji; Preslav Nakov; Shantanu Godbole; Salim Roukos; Radu Florian; et al. (CoRR, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Teresa Lynn; Injy Hamed; Aditya Nanda Kishore; Aishik Mandal; Alina Dragonetti; Artem Abzaliev; Atnafu Lambebo Tonja; Bontu Fufa Balcha; Chenxi Whitehouse; et al. (CoRR, 2024)

Large Language Models as Code Executors: An Exploratory Study. - Chenyang Lyu; Lecheng Yan; Rui Xing; Wenxi Li; Younes Samih; Tianbo Ji; Longyue Wang (CoRR, 2024)

Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions. - Yu Zhao; Huifeng Yin; Bo Zeng; Hao Wang; Tianqi Shi; Chenyang Lyu; Longyue Wang; Weihua Luo; Kaifu Zhang (CoRR, 2024)

Marco-LLM: Bridging Languages via Massive Multilingual Training for Cross-Lingual Enhancement. - Lingfeng Ming; Bo Zeng; Chenyang Lyu; Tianqi Shi; Yu Zhao; Xue Yang; Yefeng Liu; Yiyu Wang; Linlong Xu; Yangyang Liu; Xiaohu Zhao; Hao Wang; et al. (CoRR, 2024)

One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware. - Binbin Zhao; Shouling Ji; Jiacheng Xu; Yuan Tian 001; Qiuyang Wei; Qinying Wang; Chenyang Lyu; Xuhong Zhang 002; Changting Lin; Jingzheng Wu; Raheem Beyah (IEEE Trans. Dependable Secur. Comput., 2024)

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs. - Qing Li 038; Jiahui Geng; Zongxiong Chen; Derui Zhu; Yuxia Wang; Congbo Ma; Chenyang Lyu; Fakhri Karray (ACL (1), 2025)

VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration. - Jiahui Geng; Qing Li 038; Zongxiong Chen; Yuxia Wang; Derui Zhu; Zhuohan Xie; Chenyang Lyu; Xiuying Chen; Preslav Nakov; Fakhri Karray (ACL (Findings), 2025)

Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models. - Huifeng Yin; Yu Zhao; Minghao Wu; Xuanfan Ni; Bo Zeng; Hao Wang; Tianqi Shi; Liangying Shao; Chenyang Lyu; Longyue Wang; Weihua Luo; Kaifu Zhang (ACL (1), 2025)

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language. - Bo Zeng; Chenyang Lyu; Sinuo Liu; Mingyan Zeng; Minghao Wu; Xuanfan Ni; Tianqi Shi; Yu Zhao; Yefeng Liu; Chenyu Zhu; Ruizhe Li; Jiahui Geng; et al. (ACL (1), 2025)

From Multiple-Choice to Extractive QA: A Case Study for English and Arabic. - Teresa Lynn; Malik H. Altakrori; Samar Mohamed Magdy; Rocktim Jyoti Das; Chenyang Lyu; Mohamed Nasr; Younes Samih; Kirill Chirkunov; Alham Fikri Aji; Preslav Nakov; Shantanu Godbole; Salim Roukos; et al. (COLING, 2025)

Enhancing Video-Text Matching via Sparse Stratified Sampling. - Chenyang Lyu; Wenxi Li; Tianbo Ji; Liting Zhou; Pintu Lohar; Yi Yu 001; Longyue Wang (ICASSP, 2025)

Overview of the NTCIR-18 Lifelog-6 Task. - Liting Zhou; Cathal Gurrin; Hsin-Hung Chen; Hideo Joho; Chenyang Lyu; Longyue Wang; Graham Healy; Ly-Duyen Tran; Quang-Linh Tran; Hoang Bao Le; Duc-Tien Dang-Nguyen; Tianbo Ji (NTCIR, 2025)

Can Multimodal LLMs do Visual Temporal Understanding and Reasoning? The answer is No! - Mohamed Fazli Mohamed Imam; Chenyang Lyu; Alham Fikri Aji (CoRR, 2025)

Towards Lightweight, Adaptive and Attribute-Aware Multi-Aspect Controllable Text Generation with Large Language Models. - Chenyu Zhu; Yefeng Liu; Chenyang Lyu; Xue Yang; Guanhua Chen 001; Longyue Wang; Weihua Luo; Kaifu Zhang (CoRR, 2025)

DBudgetKV: Dynamic Budget in KV Cache Compression for Ensuring Optimal Performance. - Xuanfan Ni; Liyan Xu; Chenyang Lyu; Longyue Wang; Mo Yu; Lemao Liu; Fandong Meng; Jie Zhou 016; Piji Li (CoRR, 2025)

Towards Widening The Distillation Bottleneck for Reasoning Models. - Huifeng Yin; Yu Zhao; Minghao Wu; Xuanfan Ni; Bo Zeng; Hao Wang; Tianqi Shi; Liangying Shao; Chenyang Lyu; Longyue Wang; Weihua Luo; Kaifu Zhang (CoRR, 2025)

New Trends for Modern Machine Translation with Large Reasoning Models. - Sinuo Liu; Chenyang Lyu; Minghao Wu; Longyue Wang; Weihua Luo; Kaifu Zhang; Zifu Shang (CoRR, 2025)

The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks. - Minghao Wu; Weixuan Wang; Sinuo Liu; Huifeng Yin; Xintong Wang 001; Yu Zhao; Chenyang Lyu; Longyue Wang; Weihua Luo; Kaifu Zhang (CoRR, 2025)

TransBench: Benchmarking Machine Translation for Industrial-Scale Applications. - Haijun Li; Tianqi Shi; Zifu Shang; Yuxuan Han; Xueyu Zhao; Hao Wang; Yu Qian; Zhiqiang Qian; Linlong Xu; Minghao Wu; Chenyang Lyu; Longyue Wang; et al. (CoRR, 2025)

Adaptive Traffic Signal Control for Energy Efficiency Using Deep Learning and Consumer Electronics. - Tianbo Ji; Peng Cheng; Kechen Li; Zhichao Cao 003; Zexia Duan; Chenyang Lyu (IEEE Trans. Consumer Electron., 2025)

CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval. - Jiahui Geng; Fengyu Cai; Shaobo Cui 006; Qing Li 038; Liangwei Chen; Chenyang Lyu; Haonan Li; Derui Zhu; Walter Pretschner; Heinz Koeppl; Fakhri Karray (CoRR, 2025)

Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation. - Xintong Wang 001; Jingheng Pan; Yixiao Liu; Xiaohu Zhao; Chenyang Lyu; Minghao Wu; Chris Biemann; Longyue Wang; Linlong Xu; Weihua Luo; Kaifu Zhang (CoRR, 2025)

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models. - Bo Zeng; Chenyang Lyu; Sinuo Liu; Mingyan Zeng; Minghao Wu; Xuanfan Ni; Tianqi Shi; Yu Zhao; Yefeng Liu; Chenyu Zhu; Ruizhe Li; Jiahui Geng; et al. (CoRR, 2025)

Marco-Voice Technical Report. - Fengping Tian; Chenyang Lyu; Xuanfan Ni; Haoqin Sun; Qingjuan Li; Zhiqiang Qian; Haijun Li; Longyue Wang; Zhao Xu; Weihua Luo; Kaifu Zhang (CoRR, 2025)