Yu Meng
31 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Cross-Pollinator
(11)
πΊοΈ
Taxonomy Completionist
(59)
π€
Dynamic Duo
(18)
π
Triple Crown
π
Grand Slam
π§¬
Topic Evolution
π
Century Club
(29)
π
Conference Pioneer
ποΈ
Keyword Collector
(113)
β‘
Prolific Year
(9)
π₯
Unstoppable
(7)
Conferences
EMNLP (7)
NIPS (7)
ICLR (5)
ACL (4)
ICML (3)
AAAI (2)
NAACL (2)
CVPR (1)
Top co-authors
Keywords
large language model
(7)
text classification
(4)
zero-shot learning
(4)
document clustering
(2)
data augmentation
(2)
hierarchical text classification
(2)
zero-shot classification
(2)
language model
(2)
few-shot learning
(2)
weakly supervised learning
(2)
text generation
(2)
contrastive learning
(2)
neural network
(2)
topic modeling
(2)
unsupervised learning
(2)
retrieval-augmented generation
(2)
training data generation
(2)
prompt engineering
(1)
computer vision
(1)
relation extraction
(1)
Papers
Aligning Large Language Models via Fully Self-Synthetic Data
ACL 2026
Towards Aligned and Efficient Large Language Models
AAAI 2026
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation
EMNLP 2025
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism
ICML 2025
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
ICML 2025
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
ICLR 2025
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
ACL 2024
iToF-flow-based High Frame Rate Depth Imaging
CVPR 2024
Evaluating Large Language Models at Evaluating Instruction Following
ICLR 2024
Representation Deficiency in Masked Language Modeling
ICLR 2024
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction
EMNLP 2024
Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization
EMNLP 2024
Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective
NIPS 2024
SimPO: Simple Preference Optimization with a Reference-Free Reward
NIPS 2024
Unchosen Experts Can Contribute Too: Unleashing MoE Modelsβ Power by Self-Contrast
NIPS 2024
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training
EMNLP 2023
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
NIPS 2023
Patton: Language Model Pretraining on Text-Rich Networks
ACL 2023
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval
ACL 2023
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
ICLR 2023
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
ICML 2023
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
ICLR 2022
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
NIPS 2022
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds
NAACL 2022
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
NIPS 2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
EMNLP 2021
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names
NAACL 2021
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
EMNLP 2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach
EMNLP 2020
Weakly-Supervised Hierarchical Text Classification
AAAI 2019
Spherical Text Embedding
NIPS 2019