Ruixiang Tang
25 papers · 2021–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (12)
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Conference Polyglot
(9)
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Keyword Pioneer
🐣
Hot Topic Early Bird
🧬
Topic Evolution
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Keyword Collector
(90)
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(19)
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(5)
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Trend Setter
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Prolific Year
(10)
Conferences
EMNLP (7)
AAAI (4)
ACL (4)
ICCV (2)
ICLR (2)
AACL (1)
EACL (1)
ICML (1)
IJCNLP (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(12)
spurious correlation
(4)
attention mechanism
(3)
multimodal in-context learning
(3)
text classification
(3)
large vision-language model
(3)
language model
(2)
shortcut learning
(2)
visual token
(2)
model security
(2)
deep neural network
(2)
persuasion detection
(2)
backdoor attack
(2)
memory recall
(1)
benchmark evaluation
(1)
sentiment analysis
(1)
robotic manipulation
(1)
zero-shot learning
(1)
representation learning
(1)
text summarization
(1)
Papers
CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning
AAAI 2026
Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning
AAAI 2026
FaithLM: Towards Faithful Explanations for Large Language Models
EACL 2026
Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety
ACL 2026
CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models
AAAI 2026
Hallucinatory Image Tokens: A Training-free EAZY Approach to Detecting and Mitigating Object Hallucinations in LVLMs
ICCV 2025
Disentangling Memory and Reasoning Ability in Large Language Models
ACL 2025
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
ACL 2025
TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration
EMNLP 2025
A Decoupled Multi-Agent Framework for Complex Text Style Transfer
EMNLP 2025
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
EMNLP 2025
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
ICCV 2025
Re-Imagining Multimodal Instruction Tuning: A Representation View
ICLR 2025
Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding
ICML 2025
SafePersuasion: A Dataset, Taxonomy, and Baselines for Analysis of Rational Persuasion and Manipulation
IJCNLP 2025
SafePersuasion: A Dataset, Taxonomy, and Baselines for Analysis of Rational Persuasion and Manipulation
AACL 2025
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models
EMNLP 2024
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
EMNLP 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
EMNLP 2024
Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models
NAACL 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
Towards Debiasing DNN Models from Spurious Feature Influence
AAAI 2022
DEGREE: Decomposition Based Explanation for Graph Neural Networks
ICLR 2022
Fairness via Representation Neutralization
NIPS 2021