Gongshen Liu
32 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Academic Marathon (7)
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Conference Polyglot
(11)
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(11)
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Topic Evolution
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Century Club
(31)
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Prolific Year
(6)
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The Questioner
(3)
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Keyword Collector
(129)
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Conferences
ACL (9)
COLING (8)
EMNLP (4)
AAAI (2)
IJCAI (2)
NAACL (2)
ACML (1)
ICCV (1)
ICML (1)
IJCNLP (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
backdoor attack
(7)
adversarial learning
(5)
pre-trained language model
(4)
large language model
(4)
contrastive learning
(3)
neural network
(3)
multimodal large language model
(3)
sentiment analysis
(2)
trigger word
(2)
frequency space
(2)
knowledge editing
(2)
text generation
(2)
attention mechanism
(2)
knowledge neuron
(2)
backdoor defense
(1)
collaborative filtering
(1)
gradient-based optimization
(1)
multi-task learning
(1)
transfer learning
(1)
cross-lingual transfer
(1)
Papers
SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents
ACL 2026
OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents
ACL 2025
ALIS: Aligned LLM Instruction Security Strategy for Unsafe Input Prompt
COLING 2025
Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining
COLING 2025
Can Knowledge be Transferred from Unimodal to Multimodal? Investigating the Transitivity of Multimodal Knowledge Editing
ICCV 2025
Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents
EMNLP 2025
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
ICML 2025
SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer
NAACL 2025
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study
COLING 2024
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space
ACL 2024
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models
ACL 2024
UOR: Universal Backdoor Attacks on Pre-trained Language Models
ACL 2024
Backdoor NLP Models via AI-Generated Text
COLING 2024
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
EMNLP 2024
PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models
AAAI 2023
Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts
ACL 2023
A Multi-Task Dual-Tree Network for Aspect Sentiment Triplet Extraction
COLING 2022
TransAdv: A Translation-based Adversarial Learning Framework for Zero-Resource Cross-Lingual Named Entity Recognition
EMNLP 2022
PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning
IJCAI 2022
A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network
INTERSPEECH 2022
Improving Constituent Representation with Hypertree Neural Networks
NAACL 2022
Few-shot Table-to-text Generation with Prefix-Controlled Generator
COLING 2022
Entity-Aware Abstractive Multi-Document Summarization
IJCNLP 2021
Entity-Aware Abstractive Multi-Document Summarization
ACL 2021
A Character-Centric Neural Model for Automated Story Generation
AAAI 2020
Hierarchy-Aware Global Model for Hierarchical Text Classification
ACL 2020
Multiple Character Embeddings for Chinese Word Segmentation
ACL 2019
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
IJCAI 2019
A Joint Selective Mechanism for Abstractive Sentence Summarization
ACML 2018
A Unified Syntax-aware Framework for Semantic Role Labeling
EMNLP 2018
Sliced Recurrent Neural Networks
COLING 2018
Modeling Multi-turn Conversation with Deep Utterance Aggregation
COLING 2018