Boxin Wang
19 papers · 2019–2024 · 8 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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πΊοΈ Taxonomy Completionist (50) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Topic Evolution
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Grand Slam
π§
Keyword Pioneer
π€
Dynamic Duo
(14)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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The Questioner
(2)
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Century Club Β· Bronze
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Renaissance Researcher
(7)
ποΈ
Keyword Collector
(97)
Top co-authors
Research topics
Artificial Intelligence
(13)
Machine Learning
(12)
Core AI
(11)
Natural Language Processing
(8)
Learning Types Β· Machine Learning
(8)
Application Areas
(7)
Deep Learning
(5)
Generation
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Resources & Methods
(4)
Applications
(3)
Learning Paradigms
(3)
Computer Vision
(1)
Data Science & Analytics
(1)
Keywords
large language model
(4)
adversarial robustness
(4)
language model
(3)
instruction tuning
(3)
differential privacy
(2)
domain adaptation
(2)
retrieval-augmented generation
(2)
knowledge distillation
(2)
text generation
(2)
privacy-preserving learning
(2)
logical reasoning
(1)
information bottleneck
(1)
text classification
(1)
video captioning
(1)
certified robustness
(1)
sequence labeling
(1)
reinforcement learning
(1)
question answering
(1)
natural language inference
(1)
transfer learning
(1)
Papers
Can Public Large Language Models Help Private Cross-device Federated Learning?
NAACL 2024
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
ICML 2024
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
NeurIPS 2024
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks
EMNLP 2024
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
NeurIPS 2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
EMNLP 2023
Certifying Out-of-Domain Generalization for Blackbox Functions
ICML 2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
NeurIPS 2022
Improving Certified Robustness via Statistical Learning with Logical Reasoning
NeurIPS 2022
Revisit Systematic Generalization via Meaningful Learning
EMNLP 2022
SemAttack: Natural Textual Attacks via Different Semantic Spaces
NAACL 2022
Counterfactual Adversarial Learning with Representation Interpolation
EMNLP 2021
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
NeurIPS 2021
Incorporating External POS Tagger for Punctuation Restoration
Interspeech 2021
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
ICLR 2021
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
ICML 2021
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States
AAAI 2020
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack
EMNLP 2020
Towards Efficient Data Valuation Based on the Shapley Value
AISTATS 2019