Linlin Wang
24 papers · 2008–2025 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (55) π Academic Marathon Β· Full π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(14)
ποΈ
Keyword Collector
(99)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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The Questioner
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(10)
Deep Learning
(9)
Core AI
(9)
Natural Language Processing
(8)
Application Areas
(7)
Learning Types Β· Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Models
(5)
Resources & Methods
(5)
Healthcare & Medicine
(3)
Clinical
(3)
Generation
(3)
Data Science & Analytics
(2)
Applications
(2)
Keywords
large language model
(5)
medical evaluation
(3)
recommender system
(2)
safety realignment
(2)
variational autoencoder
(2)
prompt learning
(2)
parameter-efficient tuning
(2)
automatic evaluation
(2)
medical language model
(2)
domain adaptation
(2)
explanation generation
(2)
dialogue generation
(1)
mathematical reasoning
(1)
non-native speech
(1)
chain-of-thought reasoning
(1)
question answering
(1)
curriculum learning
(1)
benchmark evaluation
(1)
data augmentation
(1)
network pruning
(1)
Papers
ACE-M3: Automatic Capability Evaluator for Multimodal Medical Models
COLING 2025
AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation
ACL 2025
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation
AAAI 2025
Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language Models
ACL 2025
NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning
AAAI 2025
A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis
MICCAI 2024
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
EMNLP 2024
Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction
ECCV 2024
How Do Humans Write Code? Large Models Do It the Same Way Too
EMNLP 2024
Hypernetwork-Assisted Parameter-Efficient Fine-Tuning with Meta-Knowledge Distillation for Domain Knowledge Disentanglement
NAACL 2024
MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models
AAAI 2024
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation
AAAI 2023
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation
AAAI 2023
UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction
ACL 2023
Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization
EMNLP 2022
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation
ACL 2022
ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning
SemEval 2021
Abstractive Spoken Document Summarization Using Hierarchical Model with Multi-Stage Attention Diversity Optimization
Interspeech 2020
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation
SemEval 2020
Non-Native Childrenβs Automatic Speech Recognition: The INTERSPEECH 2020 Shared Task ALTA Systems
Interspeech 2020
Multiple-Weight Recurrent Neural Networks
IJCAI 2017
Relation Classification via Multi-Level Attention CNNs
ACL 2016
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines
ACL 2015
Lyric-based Song Sentiment Classification with Sentiment Vector Space Model
ACL 2008