Chongming Gao
10 papers · 2020–2026 · 4 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot · Bronze 🗃️ Keyword Collector (50)
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(7)
Natural Language Processing
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Learning Types
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Applications · Natural Language Processing
(2)
Optimization
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Applications · Reinforcement Learning
(1)
Keywords
large language model
(6)
language model
(2)
knowledge distillation
(2)
reward modeling
(1)
direct preference optimization
(1)
reward function
(1)
curriculum learning
(1)
information retrieval
(1)
preference optimization
(1)
tokenization
(1)
transformer
(1)
neural network optimization
(1)
convergence rate
(1)
listwise ranking
(1)
multi-objective optimization
(1)
prompt engineering
(1)
few-shot learning
(1)
recommendation system
(1)
user feedback
(1)
reinforcement learning
(1)
Papers
Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs
AAAI 2026
Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning
AAAI 2026
Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation
ACL 2025
K-order Ranking Preference Optimization for Large Language Models
ACL 2025
Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response
ICML 2025
Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning
EMNLP 2025
Tunable LLM-based Proactive Recommendation Agent
ACL 2025
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
ICML 2024
Dual-Phase Accelerated Prompt Optimization
EMNLP 2024
Revisiting Representation Degeneration Problem in Language Modeling
EMNLP 2020