Guilin Qi

43 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🌍 Conference Polyglot (10) 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (3)

🐝 Cross-Pollinator (3) 🌈 Renaissance Researcher (9) 🗺️ Taxonomy Completionist (75) 🧬 Topic Evolution 🏆 Keyword Champion 🏆 Grand Slam 🤝 Dynamic Duo (16) 💎 Century Club (39) 🗃️ Keyword Collector (171) 🔥 Unstoppable (6) ❓ The Questioner (3) ⚡ Prolific Year (5)

Conferences

AAAI (9) ACL (8) EMNLP (7) COLING (6) IJCAI (5) NAACL (3) NIPS (2) ICLR (1) ICML (1) IJCNLP (1)

Top co-authors

Yongrui Chen (17) Sheng Bi (13) Yuan-Fang Li (11) Tongtong Wu (10) Jiaqi Li (8) Gholamreza Haffari (7) Nan Hu (6) Chuanyi Zhang (6) Miaozeng Du (5) Xinnan Guo (5)

Keywords

large language model (9) multimodal large language model (5) few-shot learning (5) knowledge graph (4) contrastive learning (3) continual learning (3) instruction tuning (3) knowledge base (3) graph neural network (3) question generation (3) question answering (3) machine unlearning (3) knowledge editing (3) reinforcement learning (2) language model (2) text generation (2) multimodal learning (2) catastrophic forgetting (2) self-supervised learning (2) relation extraction (2)

Papers

TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws AAAI 2026 SGPVT: Self-Generated Proximal Visual Tokens for Mitigating Proximal Collateral Damage in MLLM Unlearning ACL 2026 Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models AAAI 2026 C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation AAAI 2026 Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying ICML 2025 Open-World Attribute Mining for E-Commerce Products with Multimodal Self-Correction Instruction Tuning ACL 2025 Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs ACL 2025 Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths ACL 2025 Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models ACL 2025 LLM4VKG: Leveraging Large Language Models for Virtual Knowledge Graph Construction IJCAI 2025 From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM COLING 2025 TEF: Causality-Aware Taxonomy Expansion via Front-Door Criterion COLING 2025 HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding AAAI 2025 UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers NAACL 2025 CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering EMNLP 2024 Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models NIPS 2024 Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data NAACL 2024 DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping NAACL 2024 Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study EMNLP 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 Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing NIPS 2023 Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams AAAI 2023 CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction ACL 2023 Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction EMNLP 2023 TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding EMNLP 2023 Towards relation extraction from speech EMNLP 2022 Pretrained Language Model in Continual Learning: A Comparative Study ICLR 2022 Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity IJCAI 2022 Event Causality Identification via Derivative Prompt Joint Learning COLING 2022 Towards Balanced Defect Prediction with Better Information Propagation AAAI 2021 Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection IJCNLP 2021 Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection ACL 2021 Curriculum-Meta Learning for Order-Robust Continual Relation Extraction AAAI 2021 Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model EMNLP 2021 Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning AAAI 2021 Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning EMNLP 2020 Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning IJCAI 2020 Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base IJCAI 2020 One-Shot Learning for Long-Tail Visual Relation Detection AAAI 2020 Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases COLING 2020 Hierarchical Chinese Legal event extraction via Pedal Attention Mechanism COLING 2020 Fine-grained Image Classification by Visual-Semantic Embedding IJCAI 2018