← Authors

Wenhui Wang

31 papers · 2016–2026 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) πŸƒ Academic Marathon (9) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌟 Keyword Trendsetter Combo (5) πŸ† Grand Slam 🀝 Dynamic Duo (25) 🧬 Topic Evolution πŸ’Ž Century Club (30) πŸ“ˆ Trend Setter ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (113) πŸ”₯ Unstoppable (10)

Conferences

ACL (7) NIPS (7) EMNLP (3) IJCNLP (3) AAAI (2) CVPR (2) ICML (2) COLING (1) ICLR (1) IJCAI (1) JMLR (1) NAACL (1)

Top co-authors

Furu Wei (25) Li Dong (22) Shaohan Huang (12) Hangbo Bao (7) Ming Zhou (7) Shuming Ma (6) Nan Yang (6) Saksham Singhal (6) XIA SONG (5) Zewen Chi (5)

Keywords

multimodal learning (5) transformer architecture (4) large language model (4) model compression (4) question answering (4) knowledge distillation (4) language model (3) data augmentation (3) cross-lingual transfer (3) machine reading comprehension (2) unsupervised learning (2) transfer learning (2) question generation (2) visual question answering (2) foundation model (2) attention mechanism (2) few-shot learning (2) zero-shot learning (2) natural language generation (2) reading comprehension (2)

Papers

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model AAAI 2026
GLoCIM: Global-view Long Chain Interest Modeling for news recommendation COLING 2025
BitNet: 1-bit Pre-training for Large Language Models JMLR 2025
You Only Cache Once: Decoder-Decoder Architectures for Language Models NIPS 2024
Multi-Head Mixture-of-Experts NIPS 2024
Grounding Multimodal Large Language Models to the World ICLR 2024
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks CVPR 2023
Language Is Not All You Need: Aligning Perception with Language Models NIPS 2023
Magneto: A Foundation Transformer ICML 2023
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models NIPS 2022
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation CVPR 2022
Distilled Dual-Encoder Model for Vision-Language Understanding EMNLP 2022
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts NIPS 2022
Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains ACL 2021
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers ACL 2021
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training NAACL 2021
Consistency Regularization for Cross-Lingual Fine-Tuning IJCNLP 2021
Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains IJCNLP 2021
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers IJCNLP 2021
Consistency Regularization for Cross-Lingual Fine-Tuning ACL 2021
Harvesting and Refining Question-Answer Pairs for Unsupervised QA ACL 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers NIPS 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training ICML 2020
Cross-Lingual Natural Language Generation via Pre-Training AAAI 2020
Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension EMNLP 2019
Unified Language Model Pre-training for Natural Language Understanding and Generation NIPS 2019
Learning to Ask Unanswerable Questions for Machine Reading Comprehension ACL 2019
Multiway Attention Networks for Modeling Sentence Pairs IJCAI 2018
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data EMNLP 2018
Gated Self-Matching Networks for Reading Comprehension and Question Answering ACL 2017
Graph-based Dependency Parsing with Bidirectional LSTM ACL 2016