Hannah Kim
11 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (7) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (25)
πΊοΈ
Taxonomy Completionist
(25)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Century Club
(10)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(51)
π
Conference Pioneer
Conferences
EMNLP (3)
ACL (2)
EACL (2)
AAAI (1)
ECCV (1)
ICCV (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(3)
optical flow estimation
(2)
few-shot learning
(1)
domain generalization
(1)
anomaly detection
(1)
sentiment analysis
(1)
autonomous driving
(1)
entity embedding
(1)
low-resource learning
(1)
knowledge base
(1)
label quality
(1)
information extraction
(1)
knowledge graph
(1)
knowledge graph embedding
(1)
interactive learning
(1)
language model
(1)
synthetic datum
(1)
retrieval-augmented generation
(1)
graph reasoning
(1)
semantic segmentation
(1)
Papers
A Dynamic Self-Evolving Extraction System
ACL 2026
RECAP: REwriting Conversations for Intent Understanding in Agentic Planning
EACL 2026
AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems
EMNLP 2025
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks
ACL 2024
MEGAnno+: A Human-LLM Collaborative Annotation System
EACL 2024
SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving
ICCV 2023
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks
IJCAI 2023
MEGAnno: Exploratory Labeling for NLP in Computational Notebooks
EMNLP 2022
Optical Flow Training under Limited Label Budget via Active Learning
ECCV 2022
Low-resource Interactive Active Labeling for Fine-tuning Language Models
EMNLP 2022
Understanding Actors and Evaluating Personae with Gaussian Embeddings
AAAI 2019