conftrace_

Bin Bi

20 papers · 2019–2023 · 8 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)
🐝 Cross-Pollinator (10) πŸ—ΊοΈ Taxonomy Completionist (40) 🀝 Dynamic Duo (17) πŸ† Grand Slam πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (20) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (87)

Conferences

IJCNLP (5) ACL (4) EMNLP (4) AAAI (3) ICCV (1) ICLR (1) ICML (1) NIPS (1)

Papers

BUS: Efficient and Effective Vision-Language Pre-Training with Bottom-Up Patch Summarization. ICCV 2023 mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video ICML 2023 mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections EMNLP 2022 TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection EMNLP 2022 StructuralLM: Structural Pre-training for Form Understanding ACL 2021 Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction ACL 2021 Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction IJCNLP 2021 A Unified Pretraining Framework for Passage Ranking and Expansion AAAI 2021 E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning ACL 2021 VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation ACL 2021 E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning IJCNLP 2021 VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation IJCNLP 2021 StructuralLM: Structural Pre-training for Form Understanding IJCNLP 2021 Latent Template Induction with Gumbel-CRFs NIPS 2020 StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding ICLR 2020 PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation EMNLP 2020 Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks AAAI 2020 A Deep Cascade Model for Multi-Document Reading Comprehension AAAI 2019 Incorporating External Knowledge into Machine Reading for Generative Question Answering IJCNLP 2019 Incorporating External Knowledge into Machine Reading for Generative Question Answering EMNLP 2019