Zhengyang Wang
25 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(56)
π€
Dynamic Duo
(12)
π
Triple Crown
π₯
Mega-Team
(22)
π
Grand Slam
ποΈ
Keyword Collector
(106)
β
The Questioner
π
Century Club
(24)
β‘
Prolific Year
(5)
Conferences
EMNLP (8)
ACL (5)
NIPS (5)
ICLR (2)
NAACL (2)
AAAI (1)
CVPR (1)
ICML (1)
Top co-authors
Keywords
large language model
(7)
question answering
(3)
instruction following
(2)
model compression
(2)
domain adaptation
(2)
session-based recommendation
(2)
convolutional neural network
(2)
function calling
(2)
transfer learning
(1)
knowledge distillation
(1)
few-shot learning
(1)
knowledge editing
(1)
multilingual nlp
(1)
natural language generation
(1)
semantic segmentation
(1)
weakly supervised learning
(1)
self-supervised learning
(1)
multi-task learning
(1)
text summarization
(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
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
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
Can Language Models Follow Multiple Turns of Entangled Instructions?
EMNLP 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
NAACL 2025
Dual Semantic Guidance for Open Vocabulary Semantic Segmentation
CVPR 2025
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
ACL 2025
Data Diversity Matters for Robust Instruction Tuning
EMNLP 2024
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
ICLR 2024
Language Models as Semantic Indexers
ICML 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
NIPS 2024
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
EMNLP 2024
Improving Consistency for Text Summarization with Energy Functions
EMNLP 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
NIPS 2023
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
NIPS 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
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
ACL 2023
Knowledge-Selective Pretraining for Attribute Value Extraction
EMNLP 2023
Non-Local U-Nets for Biomedical Image Segmentation
AAAI 2020
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
NIPS 2020
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
NIPS 2018