Ping Yu
16 papers · 2016–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer 🏃 Academic Marathon (9)
🧭
Keyword Pioneer
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(11)
🧬
Topic Evolution
🏆
Grand Slam
🗃️
Keyword Collector
(61)
📈
Trend Setter
💎
Century Club
(15)
🚀
Conference Pioneer
Conferences
ACL (3)
EMNLP (2)
ICLR (2)
ICML (2)
AAAI (1)
COLING (1)
ECCV (1)
INTERSPEECH (1)
JMLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(6)
multi-step reasoning
(2)
human action generation
(2)
generative adversarial network
(2)
reasoning skill
(2)
feature quantization
(1)
sentiment analysis
(1)
few-shot learning
(1)
prompt engineering
(1)
data verification
(1)
chain-of-thought reasoning
(1)
response generation
(1)
text generation
(1)
feature matching
(1)
image generation
(1)
model alignment
(1)
instruction tuning
(1)
video generation
(1)
nonparametric regression
(1)
instruction following
(1)
Papers
CharTide: Data-Centric Chart-to-Code Generation via Tri-Perspective Tuning and Inquiry-Driven Evolution
ACL 2026
R.I.P.: Better Models by Survival of the Fittest Prompts
ICML 2025
Following Length Constraints in Instructions
EMNLP 2025
Efficient Tool Use with Chain-of-Abstraction Reasoning
COLING 2025
Self-Alignment with Instruction Backtranslation
ICLR 2024
The ART of LLM Refinement: Ask, Refine, and Trust
NAACL 2024
LIMA: Less Is More for Alignment
NIPS 2023
ALERT: Adapt Language Models to Reasoning Tasks
ACL 2023
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models
ACL 2023
Rethinking Sentiment Style Transfer
EMNLP 2021
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
AAAI 2020
Feature Quantization Improves GAN Training
ICML 2020
Bayesian Meta Sampling for Fast Uncertainty Adaptation
ICLR 2020
Structure-Aware Human-Action Generation
ECCV 2020
Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression
JMLR 2019
Deep Neural Networks for Voice Quality Assessment Based on the GRBAS Scale
INTERSPEECH 2016