Kun Luo
13 papers · 2023–2026 · 6 venues · across top CS/AI venues
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large language model
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in-context learning
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reinforcement learning
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few-shot learning
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knowledge graph
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dense retrieval
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text embedding
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heterogeneous knowledge
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knowledge retrieval
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pattern recognition
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instruction tuning
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knowledge distillation
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multi-task learning
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monte carlo tree search
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bidirectional attention
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foundation model
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text representation
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state-of-the-art performance
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language model
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Papers
OmniGen2: Towards Instruction-Aligned Multimodal Generation
CVPR 2026
Reinforcing Agentic Search Via Reward Density Optimization
ACL 2026
RetroLM: Retrieval-Augmented KVs for Long-Context Processing
AAAI 2026
KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model
EMNLP 2025
Making Text Embedders Few-Shot Learners
ICLR 2025
Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval
ACL 2025
KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model
EMNLP 2024
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
ACL 2024
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment
EMNLP 2024
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
ACL 2024
On the In-context Generation of Language Models
EMNLP 2024
Open Event Causality Extraction by the Assistance of LLM in Task Annotation, Dataset, and Method
COLING 2024
Adaptive Human Matting for Dynamic Videos
CVPR 2023