Zichao Li
30 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π Conference Polyglot (8)
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Conference Polyglot
(8)
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Academic Marathon
(7)
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Cross-Pollinator
(14)
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Lone Wolf
(5)
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Grand Slam
π₯
Mega-Team
(39)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(158)
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Century Club
(30)
β
The Questioner
(2)
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Trend Setter
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Unstoppable
(8)
β‘
Prolific Year
(13)
Conferences
ACL (13)
EMNLP (6)
ICML (3)
EACL (2)
ICLR (2)
NIPS (2)
AAAI (1)
ICCV (1)
Top co-authors
Research topics
Keywords
large language model
(4)
representation learning
(4)
paraphrase generation
(3)
multimodal learning
(3)
text formalization
(3)
sequence-to-sequence model
(2)
domain adaptation
(2)
text classification
(2)
retrieval-augmented generation
(2)
reward model
(2)
text simplification
(2)
text revision
(2)
preference learning
(2)
language model
(2)
masked language modeling
(2)
text generation
(2)
temporal modeling
(1)
state abstraction
(1)
contrastive learning
(1)
adversarial robustness
(1)
Papers
The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
ICML 2025
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch
ACL 2025
AutoAlign: Get Your LLM Aligned with Minimal Annotations
ACL 2025
READoc: A Unified Benchmark for Realistic Document Structured Extraction
ACL 2025
Knowledge-Grounded Detection of Cryptocurrency Scams with Retrieval-Augmented LMs
ACL 2025
Cross-Modal Augmentation for Low-Resource Language Understanding and Generation
ACL 2025
Domain Meets Typology: Predicting Verb-Final Order from Universal Dependencies for Financial and Blockchain NLP
ACL 2025
Retrieval-Augmented Forecasting with Tabular Time Series Data
ACL 2025
Injecting Structured Knowledge into LLMs via Graph Neural Networks
ACL 2025
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation
EMNLP 2025
Formula-Text Cross-Retrieval: A Benchmarking Study of Dense Embedding Methods for Mathematical Information Retrieval
EMNLP 2025
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
ICLR 2025
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs
ICLR 2025
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction
NIPS 2024
Seg2Act: Global Context-aware Action Generation for Document Logical Structuring
EMNLP 2024
f-Divergence Minimization for Sequence-Level Knowledge Distillation
ACL 2023
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
ICML 2023
Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness
EMNLP 2023
Text Revision By On-the-Fly Representation Optimization
AAAI 2022
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment
ACL 2022
Text Revision by On-the-Fly Representation Optimization
ACL 2022
Codewithzichao@DravidianLangTech-EACL2021: Exploring Multilingual Transformers for Offensive Language Identification on Code Mixing Text
EACL 2021
Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?
ICCV 2021
BFClass: A Backdoor-free Text Classification Framework
EMNLP 2021
Codewithzichao@DravidianLangTech-EACL2021: Exploring Multimodal Transformers for Meme Classification in Tamil Language
EACL 2021
Towards Adaptive Residual Network Training: A Neural-ODE Perspective
ICML 2020
Unsupervised Text Generation by Learning from Search
NIPS 2020
Decomposable Neural Paraphrase Generation
ACL 2019
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
ACL 2019
Paraphrase Generation with Deep Reinforcement Learning
EMNLP 2018