Longtao Huang
33 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π Academic Marathon (6)
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Keyword Pioneer
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Academic Marathon
(6)
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(12)
π
Century Club
(29)
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Conferences
ACL (11)
EMNLP (10)
COLING (3)
AAAI (2)
ICML (2)
IJCAI (2)
CVPR (1)
INTERSPEECH (1)
NIPS (1)
Top co-authors
Keywords
large language model
(7)
attention mechanism
(3)
knowledge editing
(3)
language model
(3)
knowledge graph
(3)
parameter efficient
(3)
pre-trained language model
(2)
parameter efficient fine-tuning
(2)
robustness evaluation
(2)
multi-task learning
(2)
adversarial defense
(2)
contrastive learning
(2)
parameter-efficient tuning
(2)
self-attention mechanism
(2)
adversarial attack
(2)
data augmentation
(2)
catastrophic forgetting
(2)
federated learning
(2)
zero-shot learning
(2)
generative model
(2)
Papers
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
ACL 2026
Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
ACL 2026
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models
AAAI 2026
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
ACL 2026
Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering
ICML 2025
The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning
ACL 2025
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
CVPR 2025
Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
ICML 2025
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
NIPS 2024
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
ACL 2024
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models
ACL 2024
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning
COLING 2024
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models
COLING 2024
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding
COLING 2024
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
EMNLP 2024
Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper
INTERSPEECH 2024
Adversarial Text Generation by Search and Learning
EMNLP 2023
Decoder Tuning: Efficient Language Understanding as Decoding
ACL 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
ACL 2023
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
ACL 2023
Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation
EMNLP 2023
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts
EMNLP 2023
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
EMNLP 2022
Syntax-guided Localized Self-attention by Constituency Syntactic Distance
EMNLP 2022
Multimodal Knowledge Learning for Named Entity Disambiguation
EMNLP 2022
Multiple Instance Learning for Offensive Language Detection
EMNLP 2022
Prototypical Verbalizer for Prompt-based Few-shot Tuning
ACL 2022
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
EMNLP 2022
Text Editing as Imitation Game
EMNLP 2022
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on
IJCAI 2022
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction
ACL 2020
A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification
IJCAI 2019
SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next
AAAI 2019