Aston Zhang
36 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (7)
πΊοΈ
Taxonomy Completionist
(61)
π£
Hot Topic Early Bird
π
Conference Polyglot
(9)
π§¬
Topic Evolution
π
Triple Crown
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(125)
β‘
Prolific Year
(9)
π
Century Club
(36)
π₯
Unstoppable
(8)
π
Trend Setter
β
The Questioner
Conferences
ICLR (7)
ACL (6)
EMNLP (6)
NIPS (6)
ICML (4)
NAACL (3)
IJCNLP (2)
IJCAI (1)
JMLR (1)
Top co-authors
Research topics
Keywords
natural language processing
(4)
representation learning
(3)
machine translation
(3)
language model
(3)
question answering
(3)
large language model
(3)
orthogonality constraint
(2)
few-shot learning
(2)
graphical user interface
(2)
adversarial robustness
(2)
text generation
(2)
multimodal learning
(2)
multimodal large language model
(2)
numerical stability
(2)
transformer architecture
(2)
zero-shot learning
(2)
natural language inference
(2)
text classification
(2)
in-context learning
(2)
language modeling
(2)
Papers
Self-Generated Critiques Boost Reward Modeling for Language Models
NAACL 2025
Law of the Weakest Link: Cross Capabilities of Large Language Models
ICLR 2025
OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents
ACL 2025
Caution for the Environment: Multimodal LLM Agents are Susceptible to Environmental Distractions
ACL 2025
A Systematic Examination of Preference Learning through the Lens of Instruction-Following
NAACL 2025
You Only Look at Screens: Multimodal Chain-of-Action Agents
ACL 2024
In-Context Learning with Iterative Demonstration Selection
EMNLP 2024
AIM: Adapting Image Models for Efficient Video Action Recognition
ICLR 2023
Automated Few-Shot Classification with Instruction-Finetuned Language Models
EMNLP 2023
Automatic Chain of Thought Prompting in Large Language Models
ICLR 2023
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens
NIPS 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
NIPS 2023
Learning Multimodal Data Augmentation in Feature Space
ICLR 2023
Parameter-Efficient Fine-Tuning Design Spaces
ICLR 2023
Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
EMNLP 2023
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
EMNLP 2023
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
NIPS 2022
Removing Batch Normalization Boosts Adversarial Training
ICML 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
ICML 2022
CoCon: A Self-Supervised Approach for Controlled Text Generation
ICLR 2021
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
NIPS 2021
Self-Instantiated Recurrent Units with Dynamic Soft Recursion
NIPS 2021
On Orthogonality Constraints for Transformers
ACL 2021
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters
ICLR 2021
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
ICML 2021
On Orthogonality Constraints for Transformers
IJCNLP 2021
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
JMLR 2020
ControlVAE: Controllable Variational Autoencoder
ICML 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
EMNLP 2020
Dive into Deep Learning for Natural Language Processing
IJCNLP 2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
ACL 2019
Compositional De-Attention Networks
NIPS 2019
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
ACL 2019
Dive into Deep Learning for Natural Language Processing
EMNLP 2019
Quaternion Collaborative Filtering for Recommendation
IJCAI 2019
Entropy-Based Subword Mining with an Application to Word Embeddings
NAACL 2018