Michael Lyu
40 papers · 2007–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (92) π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(23)
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Topic Evolution
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Keyword Champion
(2)
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Grand Slam
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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Prolific Year Β· Prolific
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(217)
Top co-authors
Research topics
Machine Learning
(28)
Natural Language Processing
(25)
Artificial Intelligence
(22)
Deep Learning
(19)
Core AI
(19)
Learning Types Β· Machine Learning
(17)
Applications
(14)
Learning Types Β· Deep Learning
(12)
Core Methods
(10)
Generation
(10)
Resources & Methods
(9)
Application Areas
(7)
Computer Vision
(6)
Architectures
(6)
Optimization & Theory
(6)
Keywords
large language model
(8)
neural network
(4)
benchmark evaluation
(4)
neural machine translation
(4)
knowledge distillation
(4)
text generation
(3)
unsupervised learning
(3)
personality trait
(2)
support vector machine
(2)
kernel methods
(2)
representation learning
(2)
model compression
(2)
multimodal learning
(2)
convolutional neural network
(2)
combinatorial optimization
(2)
emotion recognition
(2)
semi-supervised learning
(2)
transductive learning
(2)
text classification
(2)
self-supervised learning
(2)
Papers
Competing Large Language Models in Multi-Agent Gaming Environments
ICLR 2025
On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents
ICML 2025
All Languages Matter: On the Multilingual Safety of LLMs
ACL 2024
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning
EMNLP 2024
Enhancing Temporal Modeling of Video LLMs via Time Gating
EMNLP 2024
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
EMNLP 2024
Making Long-Context Language Models Better Multi-Hop Reasoners
ACL 2024
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models
ACL 2024
On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs
ICLR 2024
On the Reliability of Psychological Scales on Large Language Models
EMNLP 2024
CLEVA: Chinese Language Models EVAluation Platform
EMNLP 2023
Accelerating Code Search with Deep Hashing and Code Classification
ACL 2022
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation
EMNLP 2022
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows
EMNLP 2022
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
NAACL 2022
Text Revision by On-the-Fly Representation Optimization
ACL 2022
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation
ACL 2022
BinaryBERT: Pushing the Limit of BERT Quantization
ACL 2021
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation
NAACL 2021
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation
ACL 2021
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
EMNLP 2020
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
EMNLP 2020
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning
EMNLP 2020
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
EMNLP 2020
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
ACL 2020
Exploiting Unsupervised Data for Emotion Recognition in Conversations
EMNLP 2020
Few Shot Network Compression via Cross Distillation
AAAI 2020
Photon: A Robust Cross-Domain Text-to-SQL System
ACL 2020
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network
AAAI 2020
Revisiting Parameter Sharing for Automatic Neural Channel Number Search
NeurIPS 2020
Unsupervised Text Generation by Learning from Search
NeurIPS 2020
VD-BERT: A Unified Vision and Dialog Transformer with BERT
EMNLP 2020
Difficulty Controllable Generation of Reading Comprehension Questions
IJCAI 2019
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators
IJCAI 2019
SelFlow: Self-Supervised Learning of Optical Flow
CVPR 2019
Towards Understanding Neural Machine Translation with Word Importance
EMNLP 2019
Adaptive Regularization for Transductive Support Vector Machine
NeurIPS 2009
An Extended Level Method for Efficient Multiple Kernel Learning
NeurIPS 2008
Learning with Consistency between Inductive Functions and Kernels
NeurIPS 2008
Efficient Convex Relaxation for Transductive Support Vector Machine
NeurIPS 2007