Jen-tse Huang

Orcid: 0000-0003-3446-0083

Affiliations:

Chinese University of Hong Kong, Hong Kong, SAR, China
University of Southern California, Los Angeles, CA, USA (visit)

According to our database¹, Jen-tse Huang authored at least 52 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Towards Evaluating Proactive Risk Awareness of Multimodal Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?

[BibT_eX]

[DOI]

CoRR, May, 2025

SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation.

[BibT_eX]

[DOI]

CoRR, April, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

[BibT_eX]

[DOI]

CoRR, April, 2025

CODECRASH: Stress Testing LLM Reasoning under Structural and Semantic Perturbations.

[BibT_eX]

[DOI]

CoRR, April, 2025

BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agents.

[BibT_eX]

[DOI]

CoRR, April, 2025

Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Metacognitive Cultural Intelligence with CQ-Bench.

[BibT_eX]

[DOI]

CoRR, April, 2025

VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2025

VisFactor: Benchmarking Fundamental Visual Cognition in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

VLMs as GeoGuessr Masters: Exceptional Performance, Hidden Biases, and Privacy Risks.

[BibT_eX]

[DOI]

CoRR, February, 2025

CoSER: Coordinating LLM-Based Persona Simulation of Established Roles.

[BibT_eX]

[DOI]

CoRR, February, 2025

Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related Queries.

[BibT_eX]

[DOI]

CoRR, February, 2025

FairCode: Evaluating Social Bias of LLMs in Code Generation.

[BibT_eX]

[DOI]

CoRR, January, 2025

On the shortcut learning in multilingual neural machine translation.

[BibT_eX]

[DOI]

Neurocomputing, 2025

Competing Large Language Models in Multi-Agent Gaming Environments.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Chain-of-Jailbreak Attack for Image Generation Models via Step by Step Editing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

InstantIR: Blind Image Restoration with Instant Generative Reference.

[BibT_eX]

[DOI]

CoRR, 2024

Chain-of-Jailbreak Attack for Image Generation Models via Editing Step by Step.

[BibT_eX]

[DOI]

CoRR, 2024

Learning to Ask: When LLMs Meet Unclear Instruction.

[BibT_eX]

[DOI]

CoRR, 2024

On the Resilience of Multi-Agent Systems with Malicious Agents.

[BibT_eX]

[DOI]

CoRR, 2024

A Unified Debugging Approach via LLM-Based Multi-Agent Synergy.

[BibT_eX]

[DOI]

CoRR, 2024

How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO.

[BibT_eX]

[DOI]

CoRR, 2024

How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments.

[BibT_eX]

[DOI]

CoRR, 2024

The Earth is Flat? Unveiling Factual Errors in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

New Job, New Gender? Measuring the Social Bias in Image Generation Models.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

On the Reliability of Psychological Scales on Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

All Languages Matter: On the Multilingual Safety of LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench.

[BibT_eX]

[DOI]

CoRR, 2023

All Languages Matter: On the Multilingual Safety of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench.

[BibT_eX]

[DOI]

CoRR, 2023

ChatGPT an ENFJ, Bard an ISTJ: Empirical Study on Personalities of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

ParroT: Translating During Chat Using Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Is ChatGPT A Good Translator? A Preliminary Study.

[BibT_eX]

[DOI]

CoRR, 2023

An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

MTTM: Metamorphic Testing for Textual Content Moderation Software.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving the Transferability of Adversarial Samples by Path-Augmented Method.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African Languages.

[BibT_eX]

[DOI]

Proceedings of the Seventh Conference on Machine Translation, 2022

AEON: a method for automatic evaluation of NLP test cases.

[BibT_eX]

[DOI]

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Improving Adversarial Transferability via Neuron Attribution-based Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Jen-tse Huang

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