Yu Meng

Aligning Large Language Models via Fully Self-Synthetic Data ACL 2026 Convexity-Aware Noise Calibration: A Self-Supervised Framework for Noise-Level-Unknown Image Denoising CVPR 2026 LRHDR: Learning Representation-enhanced HDR Video Reconstruction CVPR 2026 Towards Aligned and Efficient Large Language Models AAAI 2026 AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism ICML 2025 InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales ICLR 2025 LLM Alignment as Retriever Optimization: An Information Retrieval Perspective ICML 2025 Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation EMNLP 2025 Evaluating Large Language Models at Evaluating Instruction Following ICLR 2024 Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs ACL 2024 Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction EMNLP 2024 iToF-flow-based High Frame Rate Depth Imaging CVPR 2024 Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective NeurIPS 2024 Representation Deficiency in Masked Language Modeling ICLR 2024 SimPO: Simple Preference Optimization with a Reference-Free Reward NeurIPS 2024 Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization EMNLP 2024 Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast NeurIPS 2024 Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks ICLR 2023 Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias NeurIPS 2023 Patton: Language Model Pretraining on Text-Rich Networks ACL 2023 PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training EMNLP 2023 ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval ACL 2023 Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning ICML 2023 Generating Training Data with Language Models: Towards Zero-Shot Language Understanding NeurIPS 2022 Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators ICLR 2022 Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds NAACL 2022 COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining NeurIPS 2021 Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training EMNLP 2021 TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names NAACL 2021 Text Classification Using Label Names Only: A Language Model Self-Training Approach EMNLP 2020 Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding EMNLP 2020 Spherical Text Embedding NeurIPS 2019 Weakly-Supervised Hierarchical Text Classification AAAI 2019