Jiawei Kong
Affiliations:- Tsinghua University, Tsinghua Shenzhen International Graduate School, Shenzhen, China
- Harbin Institute of Technology, Shenzhen, China
According to our database1,
Jiawei Kong authored at least 15 papers
between 2024 and 2026.
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Bibliography
2026
Reasoning Matters: Mitigate Hallucination in Multimodal Large Reasoning Models via Reasoning-Conditioned Preference Optimization.
CoRR, May, 2026
Looking Back and Forth: Cross-Image Attention Calibration and Attentive Preference Learning for Multi-Image Hallucination Mitigation.
CoRR, March, 2026
Towards Distillation-Resistant Large Language Models: An Information-Theoretic Perspective.
CoRR, February, 2026
Seeing Through the Chain: Mitigate Hallucination in Multimodal Reasoning Models via CoT Compression and Contrastive Preference Optimization.
CoRR, February, 2026
Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
Wolf Hidden in Sheep's Conversations: Toward Harmless Data-Based Backdoor Attacks for Jailbreaking Large Language Models.
CoRR, May, 2025
Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in Pre-trained Vision-Language Models.
CoRR, February, 2025
Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models.
CoRR, January, 2025
Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
One Perturbation is Enough: On Generating Universal Adversarial Perturbations Against Vision-Language Pre-Training Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models.
CoRR, 2024
CoRR, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024