Yiran Liu
11 papers · 2023–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (7) πΊοΈ Taxonomy Completionist (27)
π£
Hot Topic Early Bird
π
Renaissance Researcher
(5)
π
Keyword Champion
π
Century Club
(10)
Conferences
AAAI (3)
NIPS (2)
AACL (1)
ACL (1)
EMNLP (1)
ICCV (1)
ICML (1)
IJCNLP (1)
Top co-authors
Keywords
large language model
(5)
gender bia
(2)
causal inference
(2)
adversarial attack
(2)
social bias measurement
(2)
probe optimization
(2)
weakly supervised learning
(1)
self-attention mechanism
(1)
reinforcement learning
(1)
instruction tuning
(1)
model alignment
(1)
euclidean space
(1)
language model alignment
(1)
convolutional neural network
(1)
catastrophic forgetting
(1)
dual-space learning
(1)
video violence detection
(1)
preference alignment
(1)
euclidean geometry
(1)
hyperbolic representation
(1)
Papers
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
FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
ACL 2026
PMPO: A Self-Optimizing Framework for Creating High-Fidelity Measurement Tools for Social Bias in Large Language Models
AACL 2025
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
NIPS 2024
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
NIPS 2024
Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study
AAAI 2024
Causality Based Front-door Defense Against Backdoor Attack on Language Models
ICML 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