Qingwei Lin

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents ACL 2026 LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals ACL 2026 RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository ACL 2026 Gradient-Guided Multi-Judge Prompt Optimization ACL 2026 MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf EMNLP 2025 SELF-EVOLVED REWARD LEARNING FOR LLMS ICLR 2025 OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? ICLR 2025 WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct ICLR 2025 WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models ACL 2025 AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents ACL 2025 DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale ACL 2025 Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval CVPR 2025 RuAG: Learned-rule-augmented Generation for Large Language Models ICLR 2025 UFO: A UI-Focused Agent for Windows OS Interaction NAACL 2025 From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models EMNLP 2025 ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation EMNLP 2025 Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation EMNLP 2025 AdaptFlow: Adaptive Workflow Optimization via Meta-Learning EMNLP 2025 Token-level Proximal Policy Optimization for Query Generation EMNLP 2025 Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents EMNLP 2025 Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation EMNLP 2025 ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM EMNLP 2025 Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation AAAI 2024 WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena NIPS 2024 LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression ACL 2024 Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation ACL 2024 Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments ACL 2024 EfficientRAG: Efficient Retriever for Multi-Hop Question Answering EMNLP 2024 AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024 WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions ICLR 2024 WizardCoder: Empowering Code Large Language Models with Evol-Instruct ICLR 2024 SELF-GUARD: Empower the LLM to Safeguard Itself NAACL 2024 SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation UAI 2024 PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem IJCAI 2023 Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering EMNLP 2023 MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation ACL 2023 LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval ICCV 2023 Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection ICLR 2023 Conservative State Value Estimation for Offline Reinforcement Learning NIPS 2023 NetPanel: Traffic Measurement of Exchange Online Service NSDI 2023 Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property ICLR 2022 T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification IJCAI 2022 RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure OSDI 2022 PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector AAAI 2021 A Surrogate Objective Framework for Prediction+Programming with Soft Constraints NIPS 2021 A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems IJCAI 2021 Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems AAAI 2021 NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem AAAI 2021 Predictive Job Scheduling under Uncertain Constraints in Cloud Computing IJCAI 2021 Intelligent Virtual Machine Provisioning in Cloud Computing IJCAI 2020 Gandalf: An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure NSDI 2020 Two-goal Local Search and Inference Rules for Minimum Dominating Set IJCAI 2020 Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions OSDI 2020 Local Search with Efficient Automatic Configuration for Minimum Vertex Cover IJCAI 2019