Dongmei Zhang

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents ACL 2026 LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals ACL 2026 SheetBrain: A Neuro-Symbolic Agent for Accurate Reasoning over Complex and Large Spreadsheets AAAI 2026 Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search AAAI 2026 RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository ACL 2026 Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning ACL 2026 Gradient-Guided Multi-Judge Prompt Optimization ACL 2026 Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data ACL 2026 ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation EMNLP 2025 From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models EMNLP 2025 DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale ACL 2025 ESF: Efficient Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models ACL 2025 Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning AISTATS 2025 Selected Languages are All You Need for Cross-lingual Truthfulness Transfer COLING 2025 SDBF: Steep-Decision-Boundary Fingerprinting for Hard-Label Tampering Detection of DNN Models CVPR 2025 Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval CVPR 2025 Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training CVPR 2025 ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM EMNLP 2025 Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation EMNLP 2025 Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents EMNLP 2025 TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance EMNLP 2025 AdaptFlow: Adaptive Workflow Optimization via Meta-Learning EMNLP 2025 Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning EMNLP 2025 Token-level Proximal Policy Optimization for Query Generation EMNLP 2025 SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection EMNLP 2025 Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation EMNLP 2025 RESF: Regularized-Entropy-Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models EMNLP 2025 UFO: A UI-Focused Agent for Windows OS Interaction NAACL 2025 WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct ICLR 2025 RuAG: Learned-rule-augmented Generation for Large Language Models ICLR 2025 SELF-EVOLVED REWARD LEARNING FOR LLMS ICLR 2025 OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? ICLR 2025 MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf EMNLP 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 TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models ACL 2025 TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models ACL 2025 TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning EMNLP 2024 Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation ACL 2024 PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning EMNLP 2024 Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations EMNLP 2024 Text-to-Image Generation for Abstract Concepts AAAI 2024 FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection AAAI 2024 Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries AAAI 2024 End-to-End Beam Retrieval for Multi-Hop Question Answering NAACL 2024 Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments ACL 2024 Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities ACL 2024 EfficientRAG: Efficient Retriever for Multi-Hop Question Answering EMNLP 2024 KET-QA: A Dataset for Knowledge Enhanced Table Question Answering COLING 2024 Tackling Long Code Search with Splitting, Encoding, and Aggregating COLING 2024 AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024 Encoding Spreadsheets for Large Language Models EMNLP 2024 CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing EMNLP 2024 LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression ACL 2024 Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy ICLR 2023 Conservative State Value Estimation for Offline Reinforcement Learning NIPS 2023 LayoutPrompter: Awaken the Design Ability of Large Language Models NIPS 2023 SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network AAAI 2023 Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing AAAI 2023 HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion ACL 2023 How Do In-Context Examples Affect Compositional Generalization? ACL 2023 AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks ACL 2023 LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction CVPR 2023 InsightPilot: An LLM-Empowered Automated Data Exploration System EMNLP 2023 Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering EMNLP 2023 A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions ICCV 2023 LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models ICCV 2023 CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement ICLR 2023 Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection ICLR 2023 TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data EMNLP 2022 Accelerating Code Search with Deep Hashing and Code Classification ACL 2022 Neuron with Steady Response Leads to Better Generalization NIPS 2022 FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining ACL 2022 HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation ACL 2022 T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification IJCAI 2022 Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks IJCAI 2022 Coarse-to-Fine Generative Modeling for Graphic Layouts AAAI 2022 FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information EMNLP 2022 Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems EMNLP 2022 PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation EMNLP 2022 RACE: Retrieval-augmented Commit Message Generation EMNLP 2022 Learning Algebraic Recombination for Compositional Generalization ACL 2021 Predictive Job Scheduling under Uncertain Constraints in Cloud Computing IJCAI 2021 Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing IJCAI 2021 Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization AAAI 2021 A Surrogate Objective Framework for Prediction+Programming with Soft Constraints NIPS 2021 Weakly Supervised Semantic Parsing by Learning from Mistakes EMNLP 2021 Learning Algebraic Recombination for Compositional Generalization IJCNLP 2021 CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees EMNLP 2021 Iterative Utterance Segmentation for Neural Semantic Parsing AAAI 2021 Reliable and Efficient Anytime Skeleton Learning AAAI 2020 Compositional Generalization by Learning Analytical Expressions NIPS 2020 You Impress Me: Dialogue Generation via Mutual Persona Perception ACL 2020 How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context IJCAI 2020 RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task IJCAI 2020 Hierarchical Poset Decoding for Compositional Generalization in Language NIPS 2020 “What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL EMNLP 2020 Incomplete Utterance Rewriting as Semantic Segmentation EMNLP 2020 Local Search with Efficient Automatic Configuration for Minimum Vertex Cover IJCAI 2019 Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation ACL 2019 FANDA: A Novel Approach to Perform Follow-Up Query Analysis AAAI 2019 Data-Anonymous Encoding for Text-to-SQL Generation EMNLP 2019 A Split-and-Recombine Approach for Follow-up Query Analysis EMNLP 2019 Data-Anonymous Encoding for Text-to-SQL Generation IJCNLP 2019 A Split-and-Recombine Approach for Follow-up Query Analysis IJCNLP 2019 TableSense: Spreadsheet Table Detection with Convolutional Neural Networks AAAI 2019 SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications EMNLP 2018 DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning IJCAI 2017