Yukun Yan
25 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
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Core AI
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Natural Language Processing
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Deep Learning
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Machine Learning
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Resources & Methods
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Applications
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Models
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Optimization & Theory
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Core Methods
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Generation
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Learning Paradigms
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Keywords
large language model
(9)
retrieval-augmented generation
(8)
direct preference optimization
(4)
supervised fine-tuning
(3)
document understanding
(2)
knowledge distillation
(2)
code debugging
(2)
preference optimization
(2)
chain-of-thought prompting
(2)
language model
(2)
code generation
(2)
evaluation metric
(2)
named entity recognition
(1)
cross-lingual transfer
(1)
hierarchical planning
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factual accuracy
(1)
sequence labeling
(1)
representation learning
(1)
factual error correction
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data visualization
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Papers
CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented Reasoning
ACL 2026
Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
ACL 2026
Empirical Analysis of Decoding Biases in Masked Diffusion Models
ACL 2026
Long-Chain Reasoning Distillation via Adaptive Prefix Alignment
ACL 2026
ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling
EACL 2026
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
EMNLP 2025
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
NAACL 2025
DeepNote: Note-Centric Deep Retrieval-Augmented Generation
EMNLP 2025
Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub
ACL 2025
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
EMNLP 2025
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
ACL 2025
KBAlign: Efficient Self Adaptation on Specific Textual Knowledge Bases
EMNLP 2025
PersLLM: A Personified Training Approach for Large Language Models
EMNLP 2025
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
ICLR 2025
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
ACL 2025
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
ACL 2025
ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
EMNLP 2025
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
ICLR 2025
Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors
EMNLP 2025
Cleaner Pretraining Corpus Curation with Neural Web Scraping
ACL 2024
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
NeurIPS 2024
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization
ACL 2024
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
ACL 2024
Nested Named Entity Recognition as Building Local Hypergraphs
AAAI 2023
Object-oriented Neural Programming (OONP) for Document Understanding
ACL 2018