Qiushi Sun
28 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
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EMNLP (7)
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large language model
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code pre-trained model
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vision-language model
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abstract syntax tree
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instruction tuning
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transfer learning
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multi-task learning
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uncertainty quantification
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reasoning chain
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reward model
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uncertainty estimation
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attention mechanism
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chain-of-thought reasoning
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syntax tree
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prompt engineering
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code generation
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parameter-efficient learning
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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 Donβt 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