Yiran Liu
10 papers · 2023–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31) 🐣 Hot Topic Early Bird 💎 Century Club · Bronze
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Keyword Collector
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Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI · Artificial Intelligence
(8)
Machine Learning
(7)
Deep Learning
(4)
Natural Language Processing
(4)
Learning Types · Machine Learning
(4)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Resources & Methods
(3)
Architectures
(2)
Core Methods
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Analysis
(1)
Core AI · Computer Vision
(1)
Keywords
large language model
(4)
causal inference
(3)
language model
(2)
adversarial attack
(2)
self-attention mechanism
(1)
weakly supervised learning
(1)
reinforcement learning
(1)
language model alignment
(1)
catastrophic forgetting
(1)
instruction tuning
(1)
model alignment
(1)
euclidean space
(1)
backdoor attack
(1)
preference alignment
(1)
convolutional neural network
(1)
knowledge distillation
(1)
hyperbolic representation
(1)
video violence detection
(1)
dual-space learning
(1)
continual learning
(1)
Papers
FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
ACL 2026
HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation
AAAI 2026
Stationary and Clustering Transformer Hashing for Cross-modal Retrieval
AAAI 2026
PMPO: A Self-Optimizing Framework for Creating High-Fidelity Measurement Tools for Social Bias in Large Language Models
IJCNLP 2025
Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection
NeurIPS 2024
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
NeurIPS 2024
Causality Based Front-door Defense Against Backdoor Attack on Language Models
ICML 2024
Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study
AAAI 2024
TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization
ICCV 2023
Tuna: Instruction Tuning using Feedback from Large Language Models
EMNLP 2023