Xisen Jin
14 papers · 2018–2024 · 6 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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🗺️ Taxonomy Completionist (29) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🌱
Topic Pioneer
🤝
Dynamic Duo
(12)
💎
Century Club · Bronze
❓
The Questioner
📈
Trend Setter
🗃️
Keyword Collector
(71)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Natural Language Processing
(7)
Core AI
(7)
Deep Learning
(6)
Learning Types · Machine Learning
(6)
Resources & Methods
(5)
Learning Paradigms
(4)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Architectures
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Applications
(1)
Keywords
continual learning
(6)
catastrophic forgetting
(5)
language model
(2)
knowledge distillation
(2)
language model pretraining
(2)
few-shot learning
(1)
multimodal learning
(1)
multi-task learning
(1)
text classification
(1)
link prediction
(1)
domain adaptation
(1)
bias detection
(1)
model pretraining
(1)
visual grounding
(1)
model merging
(1)
task-oriented dialogue
(1)
dialogue state tracking
(1)
compositional generalization
(1)
model interpretability
(1)
transfer learning
(1)
Papers
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
ICML 2024
Dataless Knowledge Fusion by Merging Weights of Language Models
ICLR 2023
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning
ACL 2023
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
ACL 2022
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
NAACL 2022
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
NeurIPS 2021
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning
EMNLP 2021
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
NAACL 2021
Refining Language Models with Compositional Explanations
NeurIPS 2021
Contextualizing Hate Speech Classifiers with Post-hoc Explanation
ACL 2020
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs
EMNLP 2020
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models
ICLR 2020
Visually Grounded Continual Learning of Compositional Phrases
EMNLP 2020
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures
ACL 2018