Hao Peng

Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning EACL 2026 Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging AAAI 2026 RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation AAAI 2026 Hyperbolic Continuous Structural Entropy for Hierarchical Clustering AAAI 2026 SimPBL: A Multi-Agent Framework for Project-Based Learning ACL 2026 Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures ACL 2026 MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning ACL 2026 Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection AAAI 2026 Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection AAAI 2026 WildReward: Learning Reward Models from In-the-Wild Human Interactions ACL 2026 Activation-Guided Local Editing for Jailbreaking Attacks ACL 2026 RPGen: Robust and Differentially Private Synthetic Image Generation AAAI 2026 Free Process Rewards without Process Labels ICML 2025 Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025 Prompt-based Unifying Inference Attack on Graph Neural Networks AAAI 2025 Retrieval Head Mechanistically Explains Long-Context Factuality ICLR 2025 Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space AAAI 2025 Structural Entropy Guided Probabilistic Coding AAAI 2025 IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork AAAI 2025 Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation EMNLP 2025 VerIF: Verification Engineering for Reinforcement Learning in Instruction Following EMNLP 2025 Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities EMNLP 2025 FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs EMNLP 2025 Context Length Alone Hurts LLM Performance Despite Perfect Retrieval EMNLP 2025 IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning ICLR 2025 OpenHands: An Open Platform for AI Software Developers as Generalist Agents ICLR 2025 A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts ICLR 2025 Pre-training Distillation for Large Language Models: A Design Space Exploration ACL 2025 LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks ACL 2025 Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems ACL 2025 SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings ACL 2025 Advancing LLM Reasoning Generalists with Preference Trees ICLR 2025 Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks ACL 2025 Multi-View Incongruity Learning for Multimodal Sarcasm Detection COLING 2025 MMD-ERE: Multi-Agent Multi-Sided Debate for Event Relation Extraction COLING 2025 Eliminating Position Bias of Language Models: A Mechanistic Approach ICLR 2025 Hierarchical Decision Making Based on Structural Information Principles JMLR 2025 Scaling Diffusion Language Models via Adaptation from Autoregressive Models ICLR 2025 A Survey of Structural Entropy: Theory, Methods, and Applications IJCAI 2025 SetKE: Knowledge Editing for Knowledge Elements Overlap IJCAI 2025 T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction IJCAI 2025 Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization IJCAI 2025 STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation IJCAI 2025 Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition IJCAI 2025 Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent EMNLP 2024 KoLA: Carefully Benchmarking World Knowledge of Large Language Models ICLR 2024 TRAM: Bridging Trust Regions and Sharpness Aware Minimization ICLR 2024 CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets ICLR 2024 MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback ICLR 2024 SciCode: A Research Coding Benchmark Curated by Scientists NIPS 2024 Adversarial Socialbots Modeling Based on Structural Information Principles AAAI 2024 AMD: Autoregressive Motion Diffusion AAAI 2024 Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection AAAI 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024 Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024 Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024 Multi-Relational Structural Entropy UAI 2024 LETI: Learning to Generate from Textual Interactions NAACL 2024 LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models NAACL 2024 Spiking Graph Neural Network on Riemannian Manifolds NIPS 2024 MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation ACL 2024 ActionIE: Action Extraction from Scientific Literature with Programming Languages ACL 2024 Language Models Hallucinate, but May Excel at Fact Verification NAACL 2024 M&M VTO: Multi-Garment Virtual Try-On and Editing CVPR 2024 PyGOD: A Python Library for Graph Outlier Detection JMLR 2024 Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers IJCAI 2024 Executable Code Actions Elicit Better LLM Agents ICML 2024 LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering ICML 2024 Data Engineering for Scaling Language Models to 128K Context ICML 2024 Hyperbolic Geometric Latent Diffusion Model for Graph Generation ICML 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation NIPS 2024 ADELIE: Aligning Large Language Models on Information Extraction EMNLP 2024 Effective Exploration Based on the Structural Information Principles NIPS 2024 Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals EMNLP 2024 MAVEN-FACT: A Large-scale Event Factuality Detection Dataset EMNLP 2024 Hierarchical State Abstraction based on Structural Information Principles IJCAI 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NIPS 2023 FedFed: Feature Distillation against Data Heterogeneity in Federated Learning NIPS 2023 Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces AAAI 2023 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information AAAI 2023 Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles AAAI 2023 The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation ACL 2023 OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding EMNLP 2023 Complexity-Based Prompting for Multi-step Reasoning ICLR 2023 Specializing Smaller Language Models towards Multi-Step Reasoning ICML 2023 CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023 Information Extraction and Human-Robot Dialogue towards Real-life Tasks A Baseline Study with the MobileCS Dataset EMNLP 2022 A Self-Supervised Mixed-Curvature Graph Neural Network AAAI 2022 Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection NIPS 2022 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs NIPS 2022 Modeling Context With Linear Attention for Scalable Document-Level Translation EMNLP 2022 How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers EMNLP 2022 COPEN: Probing Conceptual Knowledge in Pre-trained Language Models EMNLP 2022 Twist Decoding: Diverse Generators Guide Each Other EMNLP 2022 MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction EMNLP 2022 Graph Structure Learning with Variational Information Bottleneck AAAI 2022 Tailor: Generating and Perturbing Text with Semantic Controls ACL 2022 ABC: Attention with Bounded-memory Control ACL 2022 XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction NAACL 2022 Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation ICLR 2021 TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation IJCAI 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021 Finetuning Pretrained Transformers into RNNs EMNLP 2021 HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization NAACL 2021 Contextualized Perturbation for Textual Adversarial Attack NAACL 2021 KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning AAAI 2021 Adversarial Directed Graph Embedding AAAI 2021 Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021 Random Feature Attention ICLR 2021 Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020 Kalman Filtering Attention for User Behavior Modeling in CTR Prediction NIPS 2020 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification AAAI 2020 Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation COLING 2020 A Mixture of h - 1 Heads is Better than h Heads ACL 2020 More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction AACL 2020 Text Generation with Exemplar-based Adaptive Decoding NAACL 2019 PaLM: A Hybrid Parser and Language Model EMNLP 2019 RNN Architecture Learning with Sparse Regularization IJCNLP 2019 Aspect-Based Sentiment Classification with Attentive Neural Turing Machines IJCAI 2019 Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks IJCAI 2019 PaLM: A Hybrid Parser and Language Model IJCNLP 2019 RNN Architecture Learning with Sparse Regularization EMNLP 2019 Learning Joint Semantic Parsers from Disjoint Data NAACL 2018 Backpropagating through Structured Argmax using a SPIGOT ACL 2018 Rational Recurrences EMNLP 2018 Time-evolving Text Classification with Deep Neural Networks IJCAI 2018 Semi-supervised Structured Prediction with Neural CRF Autoencoder EMNLP 2017 Deep Multitask Learning for Semantic Dependency Parsing ACL 2017 Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017 News Citation Recommendation with Implicit and Explicit Semantics ACL 2016 A Convolutional Attention Network for Extreme Summarization of Source Code ICML 2016 Discriminative Neural Sentence Modeling by Tree-Based Convolution EMNLP 2015 Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths EMNLP 2015 A Comparative Study on Regularization Strategies for Embedding-based Neural Networks EMNLP 2015 EigenGP: Gaussian Process Models with Adaptive Eigenfunctions IJCAI 2015