Guilin Qi
43 papers · 2018–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (73) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Keyword Pioneer
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Dynamic Duo
(17)
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Grand Slam
β‘
Prolific Year Β· Prolific
π₯
Unstoppable Β· Bronze
β
The Questioner
(3)
π
Century Club Β· Bronze
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Renaissance Researcher
(7)
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Trend Setter
ποΈ
Keyword Collector
(194)
Venues
Top co-authors
Research topics
Artificial Intelligence
(30)
Natural Language Processing
(25)
Machine Learning
(21)
Core AI
(19)
Learning Types Β· Machine Learning
(19)
Applications
(17)
Deep Learning
(16)
Learning Paradigms
(14)
Learning Types Β· Deep Learning
(12)
Resources & Methods
(9)
Knowledge & Reasoning
(6)
Representation
(6)
Core Methods
(5)
Generation
(4)
Computer Vision
(3)
Keywords
large language model
(10)
continual learning
(5)
multimodal large language model
(5)
few-shot learning
(5)
knowledge base
(4)
knowledge graph
(4)
instruction tuning
(3)
contrastive learning
(3)
machine unlearning
(3)
graph neural network
(3)
question generation
(3)
pre-trained language model
(3)
knowledge editing
(3)
question answering
(3)
reinforcement learning
(2)
text generation
(2)
benchmark evaluation
(2)
speech processing
(2)
multimodal learning
(2)
catastrophic forgetting
(2)
Papers
CΒ³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation
AAAI 2026
Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models
AAAI 2026
SGPVT: Self-Generated Proximal Visual Tokens for Mitigating Proximal Collateral Damage in MLLM Unlearning
ACL 2026
TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws
AAAI 2026
Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
ACL 2025
Continual Speech Learning with Fused Speech Features
Interspeech 2025
Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models
ACL 2025
From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM
COLING 2025
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
AAAI 2025
LLM4VKG: Leveraging Large Language Models for Virtual Knowledge Graph Construction
IJCAI 2025
Open-World Attribute Mining for E-Commerce Products with Multimodal Self-Correction Instruction Tuning
ACL 2025
Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths
ACL 2025
Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying
ICML 2025
TEF: Causality-Aware Taxonomy Expansion via Front-Door Criterion
COLING 2025
UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers
NAACL 2025
Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study
EMNLP 2024
CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering
EMNLP 2024
DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping
NAACL 2024
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
NAACL 2024
MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing
ACL 2024
PRIMO: Progressive Induction for Multi-hop Open Rule Generation
COLING 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
NeurIPS 2024
CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction
ACL 2023
Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams
AAAI 2023
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
NeurIPS 2023
TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding
EMNLP 2023
Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction
EMNLP 2023
Event Causality Identification via Derivative Prompt Joint Learning
COLING 2022
Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity
IJCAI 2022
Pretrained Language Model in Continual Learning: A Comparative Study
ICLR 2022
Towards relation extraction from speech
EMNLP 2022
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
ACL 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
AAAI 2021
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning
AAAI 2021
Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model
EMNLP 2021
Towards Balanced Defect Prediction with Better Information Propagation
AAAI 2021
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
EMNLP 2020
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base
IJCAI 2020
Hierarchical Chinese Legal event extraction via Pedal Attention Mechanism
COLING 2020
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases
COLING 2020
One-Shot Learning for Long-Tail Visual Relation Detection
AAAI 2020
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
IJCAI 2020
Fine-grained Image Classification by Visual-Semantic Embedding
IJCAI 2018