Hangyu Guo

According to our database1, Hangyu Guo authored at least 24 papers between 2017 and 2025.

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

Timeline

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Links

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Bibliography

2025
Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding.
CoRR, July, 2025

Diffusion Dataset Condensation: Training Your Diffusion Model Faster with Less Data.
CoRR, July, 2025

Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers.
CoRR, June, 2025

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models.
CoRR, April, 2025

A Comprehensive Survey on Long Context Language Modeling.
CoRR, March, 2025

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis.
CoRR, 2024

PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos.
CoRR, 2024

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models.
CoRR, 2024

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models.
CoRR, 2024

ING-VP: MLLMs cannot Play Easy Vision-based Games Yet.
CoRR, 2024

OmniBench: Towards The Future of Universal Omni-Language Models.
CoRR, 2024

Attribute Vision Transformer for UAV-Human Re-Identification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Visually-augmented pretrained language models for NLP tasks without images.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2017
A method of distributed avionics data processing based on SVM classifier.
Proceedings of the MIPPR 2017: Remote Sensing Image Processing, 2017

Multi-platform fire control strike track planning method based on deep enhance learning.
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

Research on big data management and analysis method of multi-platform avionics system.
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017


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