Peijun Qing
8 papers · 2022–2026 · 3 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Research topics
Artificial Intelligence
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Machine Learning
(7)
Deep Learning
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Core Methods
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Learning Types · Deep Learning
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Computer Vision
(2)
Analysis
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Application Areas
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Learning Types · Machine Learning
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Processing
(2)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Applications · Computer Vision
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Applications · Natural Language Processing
(1)
Keywords
large language model
(2)
multi-hop reasoning
(2)
reinforcement learning
(1)
temporal modeling
(1)
probabilistic modeling
(1)
transfer learning
(1)
visual question answering
(1)
neural network optimization
(1)
video captioning
(1)
question answering
(1)
prompt engineering
(1)
multimodal learning
(1)
video understanding
(1)
visual reasoning
(1)
llm evaluation
(1)
logical reasoning
(1)
graph embedding
(1)
redundancy reduction
(1)
knowledge graph
(1)
few-shot learning
(1)
Papers
Tailoring Memory Granularity for Multi-Hop Reasoning over Long Contexts
EACL 2026
Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplification and Resistance in Multi-Agent Based LLM-as-Judge
EMNLP 2025
ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering
EMNLP 2025
SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models
EMNLP 2025
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding
NAACL 2025
AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality
EMNLP 2024
Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
NAACL 2024
GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs
EMNLP 2022