Boxin Wang
19 papers · 2019–2024 · 8 conferences · across top CS/AI conferences
Achievements
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Conferences
EMNLP (5)
NIPS (5)
ICML (3)
NAACL (2)
AAAI (1)
AISTATS (1)
ICLR (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
large language model
(4)
adversarial robustness
(3)
differential privacy
(2)
instruction tuning
(2)
language model
(2)
knowledge distillation
(2)
domain adaptation
(2)
retrieval-augmented generation
(2)
text generation
(2)
privacy-preserving learning
(2)
video captioning
(1)
logical reasoning
(1)
text classification
(1)
certified robustness
(1)
sequence labeling
(1)
semantic parsing
(1)
reinforcement learning
(1)
question answering
(1)
transfer learning
(1)
natural language inference
(1)
Papers
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
ICML 2024
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks
EMNLP 2024
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
NIPS 2024
Can Public Large Language Models Help Private Cross-device Federated Learning?
NAACL 2024
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
EMNLP 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
NIPS 2023
Revisit Systematic Generalization via Meaningful Learning
EMNLP 2022
Improving Certified Robustness via Statistical Learning with Logical Reasoning
NIPS 2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
NIPS 2022
Certifying Out-of-Domain Generalization for Blackbox Functions
ICML 2022
SemAttack: Natural Textual Attacks via Different Semantic Spaces
NAACL 2022
Incorporating External POS Tagger for Punctuation Restoration
INTERSPEECH 2021
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
NIPS 2021
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
ICML 2021
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
ICLR 2021
Counterfactual Adversarial Learning with Representation Interpolation
EMNLP 2021
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack
EMNLP 2020
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States
AAAI 2020
Towards Efficient Data Valuation Based on the Shapley Value
AISTATS 2019