Mengshu Sun
24 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
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COLING (3)
ECCV (2)
ICCV (1)
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Keywords
large language model
(13)
question answering
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contrastive learning
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knowledge graph
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model compression
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reinforcement learning
(2)
information extraction
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benchmark evaluation
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knowledge graph completion
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text generation
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retrieval augmented generation
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zero-shot learning
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instruction tuning
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text classification
(1)
domain adaptation
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few-shot learning
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efficient training
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continual learning
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vision transformer
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cross-lingual transfer
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Papers
Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts
ACL 2026
Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations
ACL 2026
Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction
AAAI 2026
Self-Correction Distillation for Structured Data Question Answering
AAAI 2026
Collaboration of Fusion and Independence: Hypercomplex-driven Robust Multi-Modal Knowledge Graph Completion
ACL 2026
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
AAAI 2025
LightThinker: Thinking Step-by-Step Compression
EMNLP 2025
Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking
ACL 2025
K-ON: Stacking Knowledge on the Head Layer of Large Language Model
AAAI 2025
SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs
EMNLP 2025
MKGL: Mastery of a Three-Word Language
NIPS 2024
IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus
ACL 2024
Efficient Knowledge Infusion via KG-LLM Alignment
ACL 2024
ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models
COLING 2024
Continual Few-shot Event Detection via Hierarchical Augmentation Networks
COLING 2024
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning
COLING 2024
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
EMNLP 2024
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
AAAI 2023
LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation
EMNLP 2023
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
ECCV 2022
Extracting Trigger-sharing Events via an Event Matrix
EMNLP 2022
RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions
ICCV 2021
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
AAAI 2021
Adversarial T-shirt! Evading Person Detectors in A Physical World
ECCV 2020