Jiajun Liu
43 papers · 2022–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (12) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π Cross-Pollinator (12)
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Keyword Pioneer
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Cross-Pollinator
(12)
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Grand Slam
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Dynamic Duo
(16)
π₯
Mega-Team
(23)
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Century Club
(34)
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Unstoppable
(5)
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Prolific Year
(5)
ποΈ
Keyword Collector
(168)
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The Questioner
Conferences
ACL (10)
IJCAI (10)
AAAI (6)
ICCV (4)
NIPS (3)
WACV (3)
ICLR (2)
COLING (1)
ECCV (1)
EMNLP (1)
ICML (1)
RSS (1)
Top co-authors
Research topics
Keywords
large language model
(11)
knowledge distillation
(6)
in-context learning
(4)
few-shot learning
(4)
parameter-efficient fine-tuning
(4)
knowledge graph
(3)
low-rank adaptation
(3)
relation extraction
(3)
mixture of expert
(3)
semantic segmentation
(3)
object detection
(3)
model compression
(3)
retrieval-augmented generation
(3)
knowledge graph embedding
(3)
language model
(2)
link prediction
(2)
chain-of-thought reasoning
(2)
computational complexity
(2)
zero-shot learning
(2)
catastrophic forgetting
(2)
Papers
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
ACL 2026
Exploring Layer Activation Dynamic of CoT via Knowledge Probe
ACL 2026
Robust Membership Inference for Large Language Models under Adversarial Generative Corruption
ACL 2026
Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts
AAAI 2026
Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation
AAAI 2026
Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models
AAAI 2026
Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation
ACL 2026
On the Role of Discriminative Models in Generative Relation Extraction
ACL 2026
Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts
ACL 2026
Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets
ICLR 2025
Acquisition and Application of Novel Knowledge in Large Language Models
ACL 2025
RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers
ICML 2025
LLM-Guided Semantic-Aware Clustering for Topic Modeling
ACL 2025
On the Consistency of Commonsense in Large Language Models
ACL 2025
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation
EMNLP 2025
Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction
IJCAI 2025
Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization
ICCV 2025
On-the-Fly Object-aware Representative Point Selection in Point Cloud
WACV 2025
TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm
WACV 2025
General Scene Adaptation for Vision-and-Language Navigation
ICLR 2025
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
IJCAI 2024
Unveiling LoRA Intrinsic Ranks via Salience Analysis
NIPS 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation
AAAI 2024
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning
AAAI 2024
Boosting Textural NER with Synthetic Image and Instructive Alignment
ACL 2024
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction
COLING 2024
LLM as Copilot for Coarse-grained Vision-and-Language Navigation
ECCV 2024
Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts
IJCAI 2024
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
IJCAI 2024
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning
IJCAI 2024
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification
IJCAI 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
IJCAI 2024
Empirical Analysis of Dialogue Relation Extraction with Large Language Models
IJCAI 2024
Incorporating Schema-Aware Description into Document-Level Event Extraction
IJCAI 2024
Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring
IJCAI 2024
Demonstrating Event-Triggered Investigation and Sample Collection for Human Scientists using Field Robots and Large Foundation Models
RSS 2024
GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation
WACV 2024
Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation
ICCV 2023
OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
ICCV 2023
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation
ICCV 2023
IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings
AAAI 2023
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process
NIPS 2023
Improved Feature Distillation via Projector Ensemble
NIPS 2022