Jitao Sang
23 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
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ACL (6)
AAAI (5)
CVPR (4)
NIPS (3)
IJCAI (2)
COLING (1)
ECCV (1)
ICCV (1)
Top co-authors
Research topics
Keywords
large language model
(6)
multimodal learning
(4)
image classification
(3)
adversarial perturbation
(2)
adversarial learning
(2)
adversarial robustness
(2)
multimodal large language model
(2)
object detection
(2)
vision language model
(2)
vision-language model
(2)
transfer learning
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hallucination evaluation
(2)
model robustness
(2)
knowledge distillation
(2)
benchmark dataset
(2)
policy optimization
(1)
catastrophic forgetting
(1)
feature learning
(1)
reinforcement learning
(1)
representation learning
(1)
Papers
Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm
AAAI 2026
WebSynthesis: World Model-Guided Monte Carlo Tree Search for Efficient WebAgent Trajectory Synthesis
ACL 2026
VAPO: End-to-end Slide-Enhanced Speech Recognition with Omni-modal Large Language Models
ACL 2026
Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural Norms
AAAI 2026
CSPO: Alleviating Reward Ambiguity for Structured Table-to-LaTeX Generation
ACL 2026
MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions
AAAI 2026
ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
CVPR 2025
Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding
AAAI 2025
Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models
ACL 2025
KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions
COLING 2025
Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
CVPR 2025
DenoiseRep: Denoising Model for Representation Learning
NIPS 2024
Adversarial Prompt Tuning for Vision-Language Models
ECCV 2024
CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models
ACL 2024
Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration
NIPS 2024
Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View
NIPS 2023
Improved Visual Fine-tuning with Natural Language Supervision
ICCV 2023
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping
IJCAI 2023
ImageNet Pre-training Also Transfers Non-robustness
AAAI 2023
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples
CVPR 2023
Towards Alleviating the Object Bias in Prompt Tuning-based Factual Knowledge Extraction
ACL 2023
Non-Generative Generalized Zero-Shot Learning via Task-Correlated Disentanglement and Controllable Samples Synthesis
CVPR 2022
Investigating and Explaining the Frequency Bias in Image Classification
IJCAI 2022