Chenyang Lyu

Orcid: 0009-0002-6733-5879

According to our database1, Chenyang Lyu authored at least 44 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware.
IEEE Trans. Dependable Secur. Comput., 2024

Large Language Models as Code Executors: An Exploratory Study.
CoRR, 2024

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.
CoRR, 2024

Can a Multichoice Dataset be Repurposed for Extractive Question Answering?
CoRR, 2024

Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models.
CoRR, 2024

Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation.
Proceedings of the Ninth Conference on Machine Translation, 2024

SyzTrust: State-aware Fuzzing on Trusted OS Designed for IoT Devices.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Semantic Enrichment for Video Question Answering with Gated Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

Reference-free Hallucination Detection for Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On the Cultural Gap in Text-to-Image Generation.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Benchmarking and Improving Long-Text Translation with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models.
CoRR, 2023

A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering.
CoRR, 2023

Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration.
CoRR, 2023

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future.
CoRR, 2023

New Trends in Machine Translation using Large Language Models: Case Examples with ChatGPT.
CoRR, 2023

MINER: A Hybrid Data-Driven Approach for REST API Fuzzing.
CoRR, 2023

Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs.
Proceedings of the Eighth Conference on Machine Translation, 2023

UVSCAN: Detecting Third-Party Component Usage Violations in IoT Firmware.
Proceedings of the 32nd USENIX Security Symposium, 2023

MINER: A Hybrid Data-Driven Approach for REST API Fuzzing.
Proceedings of the 32nd USENIX Security Symposium, 2023

Is a Video worth n n Images? A Highly Efficient Approach to Transformer-based Video Question Answering.
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

Graph-Based Video-Language Learning with Multi-Grained Audio-Visual Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Gated Multi-modal Fusion with Cross-modal Contrastive Learning for Video Question Answering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Document-Level Machine Translation with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Dialogue-to-Video Retrieval.
Proceedings of the Advances in Information Retrieval, 2023

Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Semantic-Aware Dynamic Retrospective-Prospective Reasoning for Event-Level Video Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

2022
V-Fuzz: Vulnerability Prediction-Assisted Evolutionary Fuzzing for Binary Programs.
IEEE Trans. Cybern., 2022

QAScore - An Unsupervised Unreferenced Metric for the Question Generation Evaluation.
Entropy, 2022

Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis.
CoRR, 2022

EMS: History-Driven Mutation for Coverage-based Fuzzing.
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

A large-scale empirical analysis of the vulnerabilities introduced by third-party components in IoT firmware.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

SLIME: program-sensitive energy allocation for fuzzing.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Achieving Reliable Human Assessment of Open-Domain Dialogue Systems.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
Multi-Hop Question Generation Using Hierarchical Encoding-Decoding and Context Switch Mechanism.
Entropy, 2021

UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers.
Proceedings of the 30th USENIX Security Symposium, 2021

Improving Unsupervised Question Answering via Summarization-Informed Question Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Incorporating Context and Knowledge for Better Sentiment Analysis of Narrative Text.
Proceedings of Text2Story, 2020

Improving Document-Level Sentiment Analysis with User and Product Context.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
MOPT: Optimized Mutation Scheduling for Fuzzers.
Proceedings of the 28th USENIX Security Symposium, 2019


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