Shuohang Wang
56 papers · 2016–2025 · 10 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (10) 🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (13)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(13)
🏃
Academic Marathon
(9)
🏠
Conference Loyalist
(20)
🤝
Dynamic Duo
(25)
🔬
Deep Specialist
(13)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
❓
The Questioner
(2)
📈
Trend Setter
🗃️
Keyword Collector
(223)
⚡
Prolific Year
(10)
🔥
Unstoppable
(8)
💎
Century Club
(56)
🚀
Conference Pioneer
Conferences
EMNLP (20)
ACL (12)
CVPR (4)
ICLR (4)
NIPS (4)
AAAI (3)
IJCNLP (3)
NAACL (3)
IJCAI (2)
EACL (1)
Top co-authors
Keywords
question answering
(12)
zero-shot learning
(7)
large language model
(7)
model compression
(6)
language model
(6)
few-shot learning
(4)
in-context learning
(4)
text summarization
(4)
commonsense reasoning
(4)
machine translation
(4)
masked language modeling
(4)
knowledge distillation
(4)
natural language processing
(3)
transfer learning
(3)
lottery ticket hypothesis
(3)
natural language generation
(3)
vision-language model
(3)
transformer architecture
(3)
network pruning
(3)
contrastive learning
(3)
Papers
Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation
CVPR 2025
Small Models are Valuable Plug-ins for Large Language Models
ACL 2024
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation
EMNLP 2024
SciAgent: Tool-augmented Language Models for Scientific Reasoning
EMNLP 2024
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents
EACL 2024
Generate rather than Retrieve: Large Language Models are Strong Context Generators
ICLR 2023
Prompting GPT-3 To Be Reliable
ICLR 2023
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions
EMNLP 2023
G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment
EMNLP 2023
Sparse Modular Activation for Efficient Sequence Modeling
NIPS 2023
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
ACL 2023
LMGQS: A Large-scale Dataset for Query-focused Summarization
EMNLP 2023
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT
EMNLP 2023
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
EMNLP 2023
In-Context Demonstration Selection with Cross Entropy Difference
EMNLP 2023
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
ACL 2022
Leveraging Knowledge in Multilingual Commonsense Reasoning
ACL 2022
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
EMNLP 2022
Task Compass: Scaling Multi-task Pre-training with Task Prefix
EMNLP 2022
Playing Lottery Tickets with Vision and Language
AAAI 2022
An Empirical Study of Training End-to-End Vision-and-Language Transformers
CVPR 2022
CLIP-Event: Connecting Text and Images With Event Structures
CVPR 2022
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering
EMNLP 2022
AdaPrompt: Adaptive Model Training for Prompt-based NLP
EMNLP 2022
ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation
EMNLP 2022
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
IJCAI 2022
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
NIPS 2022
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data
ACL 2022
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
ACL 2022
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval
NAACL 2021
The Elastic Lottery Ticket Hypothesis
NIPS 2021
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding
AAAI 2021
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets
ACL 2021
On Orthogonality Constraints for Transformers
ACL 2021
Cluster-Former: Clustering-based Sparse Transformer for Question Answering
ACL 2021
UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training
CVPR 2021
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
EMNLP 2021
Want To Reduce Labeling Cost? GPT-3 Can Help
EMNLP 2021
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
ICLR 2021
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets
IJCNLP 2021
On Orthogonality Constraints for Transformers
IJCNLP 2021
Cluster-Former: Clustering-based Sparse Transformer for Question Answering
IJCNLP 2021
Contrastive Distillation on Intermediate Representations for Language Model Compression
EMNLP 2020
Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching
AAAI 2020
Multi-Fact Correction in Abstractive Text Summarization
EMNLP 2020
Hierarchical Graph Network for Multi-hop Question Answering
EMNLP 2020
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack
EMNLP 2020
Cross-Thought for Sentence Encoder Pre-training
EMNLP 2020
Compositional De-Attention Networks
NIPS 2019
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
ACL 2019
Knowledge Base Question Answering with Topic Units
IJCAI 2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
ACL 2019
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning
NAACL 2019
A Co-Matching Model for Multi-choice Reading Comprehension
ACL 2018
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
ICLR 2018
Learning Natural Language Inference with LSTM
NAACL 2016