Yi Mao
19 papers · 2006–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (18)
🏃
Academic Marathon
(18)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌟
Keyword Trendsetter Combo
(7)
🧬
Topic Evolution
🏆
Keyword Champion
🏆
Grand Slam
🌱
Topic Pioneer
🗃️
Keyword Collector
(118)
💎
Century Club
(18)
⚡
Prolific Year
(5)
🔥
Unstoppable
(5)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
EMNLP (5)
NAACL (3)
NIPS (3)
ACL (2)
JMLR (2)
AAAI (1)
COLING (1)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
language model
(4)
large language model
(2)
question answering
(2)
code generation
(2)
partial ranking
(2)
few-shot learning
(2)
non-parametric model
(2)
multi-task learning
(1)
zero-shot learning
(1)
model compression
(1)
sentiment analysis
(1)
natural language processing
(1)
text classification
(1)
opinion mining
(1)
sequence labeling
(1)
domain adaptation
(1)
reinforcement learning
(1)
natural language inference
(1)
knowledge distillation
(1)
probabilistic modeling
(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
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation
EMNLP 2023
HyperTuning: Toward Adapting Large Language Models without Back-propagation
ICML 2023
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering
NAACL 2022
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
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
NIPS 2012
Dimensionality Reduction for Text using Domain Knowledge
COLING 2010
Non-Parametric Modeling of Partially Ranked Data
JMLR 2008
The Locally Weighted Bag of Words Framework for Document Representation
JMLR 2007
Non-parametric Modeling of Partially Ranked Data
NIPS 2007
Isotonic Conditional Random Fields and Local Sentiment Flow
NIPS 2006