Yao Wan
47 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+15 more ↓ Show less ↑
π Conference Polyglot (11) π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(79)
π
Grand Slam
π§¬
Topic Evolution
π₯
Mega-Team
(20)
π
Triple Crown
π€
Dynamic Duo
(11)
π
Keyword Champion
(2)
π
Century Club
(42)
π
Trend Setter
β‘
Prolific Year
(12)
π₯
Unstoppable
(7)
ποΈ
Keyword Collector
(170)
β
The Questioner
(3)
Conferences
ACL (12)
EMNLP (7)
NAACL (5)
EACL (4)
ICLR (4)
ICML (4)
AAAI (3)
IJCNLP (3)
AACL (2)
NIPS (2)
COLING (1)
Top co-authors
Keywords
large language model
(9)
code generation
(7)
pre-trained language model
(4)
few-shot learning
(3)
out-of-scope detection
(2)
graph neural network
(2)
compiler feedback
(2)
knowledge distillation
(2)
multimodal learning
(2)
representation learning
(2)
abstract syntax tree
(2)
text-to-code generation
(2)
text classification
(2)
neural machine translation
(2)
reinforcement learning
(2)
text generation
(2)
software engineering
(2)
data visualization
(2)
retrieval-augmented generation
(2)
gradient-based optimization
(1)
Papers
Paper2Web: Letβs Make Your Paper Alive!
ACL 2026
VerilogLAVD: LLM-Aided Pattern Generation for Verilog CWE Detection
ACL 2026
Are We on the Right Way to Assess Document Retrieval-Augmented Generation?
AAAI 2026
code-transformed: The Influence of Large Language Models on Code
EACL 2026
CrowdSelect: SyntheticInstruction Data Selection with Multi-LLM Wisdom
EACL 2026
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
ICML 2025
Can Large Language Models Understand Intermediate Representations in Compilers?
ICML 2025
ProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing
ACL 2025
nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow
ACL 2025
The Impact of Large Language Models in Academia: from Writing to Speaking
ACL 2025
Sign2Vis: Automated Data Visualization from Sign Language
ACL 2025
GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding
ICLR 2025
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment
ICLR 2025
DataGen: Unified Synthetic Dataset Generation via Large Language Models
ICLR 2025
CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale
ICML 2025
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
NAACL 2024
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models
NIPS 2024
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
ACL 2024
KEEP CHATTING! An Attractive Dataset for Continuous Conversation Agents
ACL 2024
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs
COLING 2024
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries
EACL 2024
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code
EMNLP 2024
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
ICLR 2024
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
ICML 2024
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning
NAACL 2024
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text
NAACL 2024
HonestLLM: Toward an Honest and Helpful Large Language Model
NIPS 2024
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables
AACL 2023
SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning
EMNLP 2023
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables
IJCNLP 2023
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
IJCNLP 2023
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
AACL 2023
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training
NAACL 2022
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding
EMNLP 2022
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
AAAI 2022
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
ACL 2022
Compilable Neural Code Generation with Compiler Feedback
ACL 2022
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization
ACL 2022
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
EMNLP 2021
Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation
EACL 2021
Disentangled Code Representation Learning for Multiple Programming Languages
IJCNLP 2021
Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing
EMNLP 2021
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots
EMNLP 2021
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
AAAI 2021
Disentangled Code Representation Learning for Multiple Programming Languages
ACL 2021
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
EMNLP 2020
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce
NAACL 2019