Yi Mao
19 papers · 2006–2026 · 9 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
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πΊοΈ Taxonomy Completionist (56) π Conference Polyglot Β· Silver π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(7)
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(125)
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(10)
Deep Learning
(9)
Natural Language Processing
(9)
Core AI
(6)
Learning Types Β· Machine Learning
(6)
Learning Types Β· Deep Learning
(6)
Models
(6)
Generation
(5)
Core Methods
(4)
Optimization & Theory
(4)
Resources & Methods
(4)
Application Areas
(3)
Architectures
(3)
Bayesian & Probabilistic
(3)
Keywords
language model
(4)
few-shot learning
(2)
large language model
(2)
reinforcement learning
(2)
question answering
(2)
partial ranking
(2)
code generation
(2)
nonparametric model
(2)
multi-task learning
(1)
sentiment analysis
(1)
zero-shot learning
(1)
natural language processing
(1)
text classification
(1)
opinion mining
(1)
model compression
(1)
sequence labeling
(1)
natural language inference
(1)
domain adaptation
(1)
knowledge distillation
(1)
self-supervised learning
(1)
Papers
Optimizing Urban Service Allocation with Time-Constrained Restless Bandits
AAAI 2026
Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing
EMNLP 2024
Exploring Distributional Shifts in Large Language Models for Code Analysis
EMNLP 2023
HyperTuning: Toward Adapting Large Language Models without Back-propagation
ICML 2023
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation
EMNLP 2023
An End-to-End Dialogue Summarization System for Sales Calls
NAACL 2022
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
ACL 2022
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation
ACL 2022
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation
NAACL 2022
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering
NAACL 2022
Finetuning Pretrained Transformers into RNNs
EMNLP 2021
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
EMNLP 2020
Action-dependent Control Variates for Policy Optimization via Stein Identity
ICLR 2018
Learning from the Wisdom of Crowds by Minimax Entropy
NeurIPS 2012
Dimensionality Reduction for Text using Domain Knowledge
COLING 2010
Non-Parametric Modeling of Partially Ranked Data
JMLR 2008
Non-parametric Modeling of Partially Ranked Data
NeurIPS 2007
The Locally Weighted Bag of Words Framework for Document Representation
JMLR 2007
Isotonic Conditional Random Fields and Local Sentiment Flow
NeurIPS 2006