Ruixiang Tang
24 papers · 2021–2026 · 10 venues · across top CS/AI venues
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Artificial Intelligence
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large language model
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spurious correlation
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attention mechanism
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multimodal in-context learning
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large vision-language model
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zero-shot learning
(2)
shortcut learning
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model security
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visual token
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language model
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text classification
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deep neural network
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sentiment analysis
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transfer learning
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robotic manipulation
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algorithmic fairness
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in-context learning
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few-shot learning
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Papers
CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning
AAAI 2026
CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models
AAAI 2026
FaithLM: Towards Faithful Explanations for Large Language Models
EACL 2026
Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning
AAAI 2026
Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety
ACL 2026
A Decoupled Multi-Agent Framework for Complex Text Style Transfer
EMNLP 2025
Disentangling Memory and Reasoning Ability in Large Language Models
ACL 2025
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
ICCV 2025
Hallucinatory Image Tokens: A Training-free EAZY Approach to Detecting and Mitigating Object Hallucinations in LVLMs
ICCV 2025
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
EMNLP 2025
Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding
ICML 2025
Re-Imagining Multimodal Instruction Tuning: A Representation View
ICLR 2025
SafePersuasion: A Dataset, Taxonomy, and Baselines for Analysis of Rational Persuasion and Manipulation
IJCNLP 2025
TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration
EMNLP 2025
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
ACL 2025
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models
EMNLP 2024
Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models
NAACL 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
EMNLP 2024
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
EMNLP 2024
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
EMNLP 2023
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
ACL 2023
DEGREE: Decomposition Based Explanation for Graph Neural Networks
ICLR 2022
Towards Debiasing DNN Models from Spurious Feature Influence
AAAI 2022
Fairness via Representation Neutralization
NeurIPS 2021