Qinyuan Cheng
21 papers · 2022–2026 · 6 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (52) 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🤝 Dynamic Duo (21)
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Research topics
Artificial Intelligence
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Core AI
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Machine Learning
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Natural Language Processing
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Deep Learning
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Generation
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Optimization & Theory · Machine Learning
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Optimization & Theory · Deep Learning
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Keywords
large language model
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vision-language model
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dialogue system
(2)
text generation
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retrieval-augmented generation
(2)
reinforcement learning
(2)
contrastive learning
(2)
uncertainty quantification
(1)
dialogue generation
(1)
style transfer
(1)
model evaluation
(1)
chain-of-thought reasoning
(1)
information retrieval
(1)
preference optimization
(1)
hyperparameter optimization
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visual reasoning
(1)
policy learning
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temporal reasoning
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task-oriented dialogue
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code generation
(1)
Papers
XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs
ACL 2026
Case2Code: Scalable Synthetic Data for Code Generation
COLING 2025
Dynamic and Generalizable Process Reward Modeling
ACL 2025
How to Mitigate Overfitting in Weak-to-strong Generalization?
ACL 2025
Perceive the Passage of Time: A Systematic Evaluation of Large Language Model in Temporal Relativity
COLING 2025
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
EMNLP 2025
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
ACL 2025
Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Models
NAACL 2025
VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search
ACL 2025
World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning
ACL 2025
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
COLING 2024
Can AI Assistants Know What They Don’t Know?
ICML 2024
Explicit Memory Learning with Expectation Maximization
EMNLP 2024
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
EMNLP 2024
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
ACL 2024
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance
ACL 2024
Scaling Laws for Fact Memorization of Large Language Models
EMNLP 2024
Unified Active Retrieval for Retrieval Augmented Generation
EMNLP 2024
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
ACL 2023
Mitigating Negative Style Transfer in Hybrid Dialogue System
AAAI 2023
Is MultiWOZ a Solved Task? An Interactive TOD Evaluation Framework with User Simulator
EMNLP 2022