Sinong Wang
27 papers · 2017–2025 · 9 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.
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Research topics
Machine Learning
(17)
Natural Language Processing
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Artificial Intelligence
(15)
Deep Learning
(12)
Core AI
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Applications
(9)
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Keywords
large language model
(5)
transfer learning
(4)
knowledge distillation
(3)
multi-task learning
(3)
model compression
(3)
prompt tuning
(3)
text classification
(2)
text generation
(2)
masked language modeling
(2)
representation learning
(2)
multimodal transformer
(2)
pre-trained language model
(2)
few-shot learning
(2)
question answering
(2)
coded computation
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convex optimization
(1)
adversarial learning
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domain generalization
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zero-shot learning
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transformer architecture
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Papers
Improving Model Factuality with Fine-grained Critique-based Evaluator
ACL 2025
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation
ACL 2025
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback
EMNLP 2025
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
ICML 2025
Effective Long-Context Scaling of Foundation Models
NAACL 2024
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
NAACL 2024
Representation Deficiency in Masked Language Modeling
ICLR 2024
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models
EMNLP 2023
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning
CVPR 2023
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix
EMNLP 2023
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction
ACL 2023
MUSTIE: Multimodal Structural Transformer for Web Information Extraction
ACL 2023
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem
ACL 2022
IDPG: An Instance-Dependent Prompt Generation Method
NAACL 2022
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation
EMNLP 2022
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction
EMNLP 2022
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models
NAACL 2022
Luna: Linear Unified Nested Attention
NeurIPS 2021
On the Influence of Masking Policies in Intermediate Pre-training
EMNLP 2021
On Unifying Misinformation Detection
NAACL 2021
Blockwise Self-Attention for Long Document Understanding
EMNLP 2020
Language Models as Fact Checkers?
ACL 2020
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks
ACL 2020
Computation Efficient Coded Linear Transform
AISTATS 2019
Coded Sparse Matrix Multiplication
ICML 2018
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits
IJCAI 2018
A New Alternating Direction Method for Linear Programming
NeurIPS 2017