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Zhiqiang Hu

18 papers · 2017–2025 · 10 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (39) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ—ƒοΈ Keyword Collector (84) πŸš€ Conference Pioneer ❓ The Questioner ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6)

Papers

Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy CVPR 2025 Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective ICML 2025 LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs ICLR 2025 Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation ICLR 2025 SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages NAACL 2025 LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay EMNLP 2024 Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models EMNLP 2024 SeaLLMs - Large Language Models for Southeast Asia ACL 2024 Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer EMNLP 2023 LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models EMNLP 2023 Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models ACL 2023 Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification EMNLP 2023 Disentangled Contour Learning for Quadrilateral Text Detection WACV 2021 Improving Text Auto-Completion with Next Phrase Prediction EMNLP 2021 Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction IJCAI 2021 Learning to Navigate for Fine-grained Classification ECCV 2018 Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation NeurIPS 2018 The Expressive Power of Neural Networks: A View from the Width NeurIPS 2017