Ge Shi
11 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Academic Marathon (7) π Cross-Pollinator (14) π Conference Polyglot (5) π Renaissance Researcher (7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(28)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Century Club
(10)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(53)
Conferences
ACL (5)
COLING (2)
AAAI (1)
EACL (1)
EMNLP (1)
SEMEVAL (1)
Top co-authors
Keywords
event extraction
(3)
large language model
(3)
prompt engineering
(2)
chain of thought
(2)
entity-centric reasoning
(2)
sequential recommendation
(2)
named entity
(2)
multi-label classification
(2)
curriculum learning
(1)
relation extraction
(1)
domain adaptation
(1)
feature learning
(1)
argument extraction
(1)
named entity recognition
(1)
temporal reasoning
(1)
data augmentation
(1)
transfer learning
(1)
text representation
(1)
video understanding
(1)
feature distribution
(1)
Papers
Beyond Atomic Characters: Glyph-Aware Sub-character Alignment for Low-Resource Multilingual OCR
ACL 2026
MSR-Rec: Multi-Step Reasoning-Enhanced LLM for Sequential Recommendation
AAAI 2026
gowithnlp at SemEval-2025 Task 10: Leveraging Entity-Centric Chain of Thought and Iterative Prompt Refinement for Multi-Label Classification
ACL 2025
Mitigating the Discrepancy Between Video and Text Temporal Sequences: A Time-Perception Enhanced Video Grounding method for LLM
COLING 2025
Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation
ACL 2025
gowithnlp at SemEval-2025 Task 10: Leveraging Entity-Centric Chain of Thought and Iterative Prompt Refinement for Multi-Label Classification
SEMEVAL 2025
RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts
COLING 2024
A Hybrid Detection and Generation Framework with Separate Encoders for Event Extraction
EACL 2023
Boosting Event Extraction with Denoised Structure-to-Text Augmentation
ACL 2023
Dynamic Prefix-Tuning for Generative Template-based Event Extraction
ACL 2022
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction
EMNLP 2018