Shuliang Liu
10 papers · 2022–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (28) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3)
π
Cross-Pollinator
(7)
ποΈ
Keyword Collector
(55)
β‘
Prolific Year
(7)
β
The Questioner
Conferences
ACL (6)
EMNLP (3)
NAACL (1)
Top co-authors
Research topics
Keywords
multimodal learning
(2)
zero-shot learning
(1)
relation extraction
(1)
direct preference optimization
(1)
data augmentation
(1)
in-context learning
(1)
text classification
(1)
speech synthesis
(1)
text generation
(1)
contrastive learning
(1)
model safety
(1)
llm evaluation
(1)
machine unlearning
(1)
reinforcement learning from human feedback
(1)
semantic coherence
(1)
adversarial attack
(1)
text watermarking
(1)
cross-modal alignment
(1)
vision-language model
(1)
unsupervised learning
(1)
Papers
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
ACL 2026
Unlocking Speech Instruction Data Potential with Query Rewriting
ACL 2025
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning
ACL 2025
A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models
ACL 2025
BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors
ACL 2025
VLA-Mark: A cross modal watermark for large vision-language alignment models
EMNLP 2025
Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs?
EMNLP 2025
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
ACL 2025
MarkLLM: An Open-Source Toolkit for LLM Watermarking
EMNLP 2024
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
NAACL 2022