Ling Liu
33 papers · 2017–2026 · 14 conferences · across top CS/AI conferences
Achievements
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๐ Academic Marathon (8) ๐ Conference Polyglot (13) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Cross-Pollinator (3)
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Cross-Pollinator
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Renaissance Researcher
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Taxonomy Completionist
(69)
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Dynamic Duo
(10)
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Topic Evolution
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Unstoppable
(6)
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The Questioner
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Century Club
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Keyword Collector
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Prolific Year
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Conferences
ACL (6)
CVPR (5)
EMNLP (4)
ICLR (3)
NIPS (3)
COLING (2)
CONLL (2)
ICCV (2)
EACL (1)
ECCV (1)
ICML (1)
IJCNLP (1)
NSDI (1)
WACV (1)
Top co-authors
Keywords
neural network
(3)
part-of-speech tagging
(3)
data augmentation
(3)
morphological inflection
(3)
model compression
(3)
knowledge distillation
(2)
transfer learning
(2)
safety alignment
(2)
federated learning
(2)
morphological paradigm
(2)
early exit
(2)
transformer architecture
(2)
morphological learning
(2)
object detection
(2)
low-resource language
(2)
large language model
(2)
natural language processing
(1)
sentiment analysis
(1)
adversarial learning
(1)
ensemble learning
(1)
Papers
H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs
EACL 2026
Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models
ACL 2025
4DSegStreamer: Streaming 4D Panoptic Segmentation via Dual Threads
ICCV 2025
Adversarial Attention Perturbations for Large Object Detection Transformers
ICCV 2025
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
ICML 2025
Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
ICLR 2025
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge
ICLR 2025
Resource-Efficient Transformer Pruning for Finetuning of Large Models
CVPR 2024
Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack
NIPS 2024
Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
NIPS 2024
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
ACL 2024
TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding
CVPR 2024
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition
ECCV 2024
LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity
EMNLP 2024
Conversational Drug Editing Using Retrieval and Domain Feedback
ICLR 2024
Adaptive Deep Neural Network Inference Optimization With EENet
WACV 2024
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training
NIPS 2023
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
EMNLP 2023
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients
CVPR 2023
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection
CVPR 2023
Detecting Annotation Errors in Morphological Data with the Transformer
ACL 2022
Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models
ACL 2022
From Conception to Retirement: a Lifetime Story of a 3-Year-Old Wireless Beacon System in the Wild
NSDI 2021
Backtranslation in Neural Morphological Inflection
EMNLP 2021
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics
CVPR 2021
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings
ACL 2021
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings
IJCNLP 2021
Analogy Models for Neural Word Inflection
COLING 2020
IGT2P: From Interlinear Glossed Texts to Paradigms
EMNLP 2020
Leveraging Principal Parts for Morphological Inflection
ACL 2020
Morphological Reinflection in Context: CU Boulderโs Submission to CoNLLโSIGMORPHON 2018 Shared Task
CONLL 2018
A Computational Model for the Linguistic Notion of Morphological Paradigm
COLING 2018
Data Augmentation for Morphological Reinflection
CONLL 2017