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Qiushi Sun

28 papers · 2022–2026 · 5 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (5) 🀝 Dynamic Duo (10) πŸ’Ž Century Club (25) ⚑ Prolific Year (6) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (114)

Conferences

ACL (15) EMNLP (7) COLING (4) ICLR (1) NAACL (1)

Papers

OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows ACL 2026 CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback ACL 2026 OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agents ACL 2026 KS-Lottery: Finding Certified Lottery Tickets for Multilingual Transfer in Large Language Models NAACL 2025 OS-ATLAS: Foundation Action Model for Generalist GUI Agents ICLR 2025 Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models ACL 2025 Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning ACL 2025 CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era ACL 2025 AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant ACL 2025 Dynamic and Generalizable Process Reward Modeling ACL 2025 OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis ACL 2025 Structure-aware Fine-tuning for Code Pre-trained Models COLING 2024 Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance ACL 2024 Boosting Language Models Reasoning with Chain-of-Knowledge Prompting ACL 2024 SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents ACL 2024 Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models ACL 2024 Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models COLING 2024 Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives COLING 2024 TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills COLING 2024 Explicit Memory Learning with Expectation Maximization EMNLP 2024 Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis EMNLP 2024 Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication EMNLP 2023 Do Large Language Models Know What They Don’t Know? ACL 2023 Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning EMNLP 2023 When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario ACL 2023 Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation EMNLP 2023 Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023 CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure EMNLP 2022