Zhengyang Wang
25 papers · 2018–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (58) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Triple Crown
π
Grand Slam
π₯
Mega-Team Β· Squad
π€
Dynamic Duo
(12)
π§¬
Topic Evolution
β‘
Prolific Year Β· Productive
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(120)
π
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(18)
Artificial Intelligence
(12)
Natural Language Processing
(12)
Deep Learning
(10)
Core AI
(10)
Learning Types Β· Machine Learning
(10)
Applications
(7)
Resources & Methods
(6)
Application Areas
(5)
Generation
(5)
Learning Types Β· Deep Learning
(5)
Core Methods
(4)
Learning Paradigms
(4)
Models
(4)
Computer Vision
(3)
Keywords
large language model
(8)
question answering
(3)
convolutional neural network
(2)
session-based recommendation
(2)
self-supervised learning
(2)
model compression
(2)
language model
(2)
multilingual nlp
(2)
domain adaptation
(2)
function calling
(2)
instruction following
(2)
benchmark evaluation
(2)
vision-language model
(2)
knowledge editing
(1)
knowledge distillation
(1)
multi-task learning
(1)
weakly supervised learning
(1)
contrastive learning
(1)
curriculum learning
(1)
text generation
(1)
Papers
CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables
ACL 2026
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
NAACL 2025
Can Language Models Follow Multiple Turns of Entangled Instructions?
EMNLP 2025
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
EMNLP 2025
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
ICLR 2025
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
EMNLP 2025
Dual Semantic Guidance for Open Vocabulary Semantic Segmentation
CVPR 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
NAACL 2025
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
EMNLP 2025
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
ACL 2025
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
EMNLP 2024
Data Diversity Matters for Robust Instruction Tuning
EMNLP 2024
Language Models as Semantic Indexers
ICML 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
NeurIPS 2024
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
ICLR 2024
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
NeurIPS 2023
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
ACL 2023
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
NeurIPS 2023
Improving Consistency for Text Summarization with Energy Functions
EMNLP 2023
Knowledge-Selective Pretraining for Attribute Value Extraction
EMNLP 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
ACL 2023
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog
ACL 2023
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
NeurIPS 2020
Non-Local U-Nets for Biomedical Image Segmentation
AAAI 2020
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
NeurIPS 2018