Lu Wang

Theory-optimal Quantization Based on Flatness ACL 2026 Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM Overthinking ACL 2026 CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories ACL 2026 RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository ACL 2026 Heterogeneous Complementary Distillation AAAI 2026 Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection AAAI 2026 Skill-Aware Data Selection and Fine-Tuning for Data-Efficient Reasoning Distillation ACL 2026 Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents ACL 2026 Evaluating Design Choices in Verifiable Generation with Open-source Models NAACL 2025 PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought Process EMNLP 2025 ASR-EC Benchmark: Evaluating Large Language Models on Chinese ASR Error Correction EMNLP 2025 AdaptFlow: Adaptive Workflow Optimization via Meta-Learning EMNLP 2025 ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM EMNLP 2025 Local Dense Logit Relations for Enhanced Knowledge Distillation ICCV 2025 SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction AAAI 2025 Debiased Distillation for Consistency Regularization AAAI 2025 FINDR: A Fast Influential Data Selector for NL2Code Pretraining AACL 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 SPHERE: Unveiling Spatial Blind Spots in Vision-Language Models Through Hierarchical Evaluation ACL 2025 Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets ACL 2025 On Many-Shot In-Context Learning for Long-Context Evaluation ACL 2025 Re3Syn: A Dependency-Based Data Synthesis Framework for Long-Context Post-training ACL 2025 CLaSp: In-Context Layer Skip for Self-Speculative Decoding ACL 2025 FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation ACL 2025 From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis ACL 2025 MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance ACL 2025 FINDR: A Fast Influential Data Selector for NL2Code Pretraining IJCNLP 2025 HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring system IJCAI 2025 Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection CVPR 2025 Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training ICML 2025 Learning Dynamics in Continual Pre-Training for Large Language Models ICML 2025 RuAG: Learned-rule-augmented Generation for Large Language Models ICLR 2025 SELF-EVOLVED REWARD LEARNING FOR LLMS ICLR 2025 Unstructured Evidence Attribution for Long Context Query Focused Summarization EMNLP 2025 Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation EMNLP 2025 Answer Convergence as a Signal for Early Stopping in Reasoning EMNLP 2025 VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts EMNLP 2025 Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation EMNLP 2025 Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework EMNLP 2025 Token-level Proximal Policy Optimization for Query Generation EMNLP 2025 SYNC: A Synthetic Long-Context Understanding Benchmark for Controlled Comparisons of Model Capabilities EMNLP 2025 MOKA: Moral Knowledge Augmentation for Moral Event Extraction NAACL 2024 SELF-GUARD: Empower the LLM to Safeguard Itself NAACL 2024 MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning ACL 2024 SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation UAI 2024 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024 Analyzing Occupational Distribution Representation in Japanese Language Models COLING 2024 Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation AAAI 2024 Neural Super-Resolution for Real-time Rendering with Radiance Demodulation CVPR 2024 Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions EMNLP 2024 Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection ECCV 2024 Small Language Models Need Strong Verifiers to Self-Correct Reasoning ACL 2024 AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024 Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach EMNLP 2024 Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extraction EMNLP 2024 Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives EMNLP 2024 LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses ICLR 2024 Verifiable Generation with Subsentence-Level Fine-Grained Citations ACL 2024 Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024 Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems AAAI 2024 Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation ACL 2024 PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization NAACL 2024 AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content NAACL 2024 All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison EMNLP 2023 Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting EMNLP 2023 You Are What You Annotate: Towards Better Models through Annotator Representations EMNLP 2023 GRACE: Discriminator-Guided Chain-of-Thought Reasoning EMNLP 2023 Conservative State Value Estimation for Offline Reinforcement Learning NIPS 2023 Few-shot Reranking for Multi-hop QA via Language Model Prompting ACL 2023 BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases ACL 2023 Word Category Arcs in Literature Across Languages and Genres ACL 2023 Merging Generated and Retrieved Knowledge for Open-Domain QA EMNLP 2023 Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales EMNLP 2023 Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering EMNLP 2023 POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection NAACL 2022 Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis EMNLP 2022 LoRA: Low-Rank Adaptation of Large Language Models ICLR 2022 Explaining Point Processes by Learning Interpretable Temporal Logic Rules ICLR 2022 T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification IJCAI 2022 Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation EMNLP 2022 Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs NAACL 2022 HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization ACL 2022 Efficient Argument Structure Extraction with Transfer Learning and Active Learning ACL 2022 Sentence-level Media Bias Analysis Informed by Discourse Structures EMNLP 2022 Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure EMNLP 2022 Time-aware Prompting for Text Generation EMNLP 2022 Attention Head Masking for Inference Time Content Selection in Abstractive Summarization NAACL 2021 DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation ACL 2021 Controllable Open-ended Question Generation with A New Question Type Ontology ACL 2021 Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment CVPR 2021 CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization EMNLP 2021 DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation IJCNLP 2021 Controllable Open-ended Question Generation with A New Question Type Ontology IJCNLP 2021 Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-Trained DNN-HMM-Based Acoustic-Phonetic Model INTERSPEECH 2021 Efficient Attentions for Long Document Summarization NAACL 2021 Inference Time Style Control for Summarization NAACL 2021 Modeling Content Importance for Summarization with Pre-trained Language Models EMNLP 2020 Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies ICLR 2020 Dynamic Online Conversation Recommendation ACL 2020 Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward ACL 2020 Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event ACL 2020 Temporal Logic Point Processes ICML 2020 Provably Robust Metric Learning NIPS 2020 Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning AAAI 2020 PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation EMNLP 2020 In Plain Sight: Media Bias Through the Lens of Factual Reporting EMNLP 2019 An Entity-Driven Framework for Abstractive Summarization EMNLP 2019 Sentence-Level Content Planning and Style Specification for Neural Text Generation EMNLP 2019 Sentence-Level Content Planning and Style Specification for Neural Text Generation IJCNLP 2019 An Entity-Driven Framework for Abstractive Summarization IJCNLP 2019 Neural Conversation Recommendation with Online Interaction Modeling IJCNLP 2019 In Plain Sight: Media Bias Through the Lens of Factual Reporting IJCNLP 2019 Parameter-Transfer Learning for Low-Resource Individualization of Head-Related Transfer Functions INTERSPEECH 2019 Argument Mining for Understanding Peer Reviews NAACL 2019 Learning Segmentation Masks with the Independence Prior AAAI 2019 Joint Effects of Context and User History for Predicting Online Conversation Re-entries ACL 2019 Argument Generation with Retrieval, Planning, and Realization ACL 2019 BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization ACL 2019 Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards ACL 2019 Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization ACL 2019 Proceedings of the 2nd Workshop on New Frontiers in Summarization EMNLP 2019 Neural Conversation Recommendation with Online Interaction Modeling EMNLP 2019 Neural Argument Generation Augmented with Externally Retrieved Evidence ACL 2018 One vs. Many QA Matching with both Word-level and Sentence-level Attention Network COLING 2018 Semi-Supervised Learning for Neural Keyphrase Generation EMNLP 2018 Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse NAACL 2018 Understanding and Detecting Supporting Arguments of Diverse Types ACL 2017 Joint Modeling of Content and Discourse Relations in Dialogues ACL 2017 Cost-Saving Effect of Crowdsourcing Learning IJCAI 2016 Neural Network-Based Abstract Generation for Opinions and Arguments NAACL 2016 Socially-Informed Timeline Generation for Complex Events NAACL 2015 Query-Focused Opinion Summarization for User-Generated Content COLING 2014 A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection ACL 2014 A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization ACL 2013 Domain-Independent Abstract Generation for Focused Meeting Summarization ACL 2013