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Shuo Wang

139 papers · 2013–2026 · 16 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 42 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Shuo Wang?

17 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Maosong Sun, Zhiyuan Liu, Zhenghao Liu 43 papers · 2019–2026 · ACL, EMNLP, NAACL Hide ▲
AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage ACL 2026 CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented Reasoning ACL 2026 Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization ACL 2026 Empirical Analysis of Decoding Biases in Masked Diffusion Models ACL 2026 Long-Chain Reasoning Distillation via Adaptive Prefix Alignment ACL 2026 ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling EACL 2026 BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors ACL 2025 COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis NAACL 2025 ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation ACL 2025 DeepNote: Note-Centric Deep Retrieval-Augmented Generation EMNLP 2025 Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs ACL 2025 Exploring the Impact of Personality Traits on LLM Bias and Toxicity EMNLP 2025 From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora EMNLP 2025 KBAlign: Efficient Self Adaptation on Specific Textual Knowledge Bases EMNLP 2025 LLM×MapReduce-V3: Enabling Interactive In-Depth Survey Generation through a MCP-Driven Hierarchically Modular Agent System EMNLP 2025 LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models ACL 2025 LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information ACL 2025 MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning NAACL 2025 MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning NAACL 2025 On LLM-Based Scientific Inductive Reasoning Beyond Equations EMNLP 2025 Pragmatic Inference Chain (PIC) Improving LLMs’ Reasoning of Authentic Implicit Toxic Language EMNLP 2025 RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards ICLR 2025 RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework ACL 2025 ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization EMNLP 2025 VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents ICLR 2025 Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors EMNLP 2025 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NeurIPS 2024 Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages ACL 2024 INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair ACL 2024 LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks ACL 2024 MCTS: A Multi-Reference Chinese Text Simplification Dataset COLING 2024 MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization ACL 2024 OneBit: Towards Extremely Low-bit Large Language Models NeurIPS 2024 Pluggable Neural Machine Translation Models via Memory-augmented Adapters COLING 2024 UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset ACL 2024 ∞Bench: Extending Long Context Evaluation Beyond 100K Tokens ACL 2024 TemplateGEC: Improving Grammatical Error Correction with Detection Template ACL 2023 A Template-based Method for Constrained Neural Machine Translation EMNLP 2022 Integrating Vectorized Lexical Constraints for Neural Machine Translation ACL 2022 MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators ACL 2022 On the Language Coverage Bias for Neural Machine Translation ACL 2021 On the Inference Calibration of Neural Machine Translation ACL 2020 Improving Back-Translation with Uncertainty-based Confidence Estimation EMNLP 2019
25 papers whose co-authors appear nowhere else under this name
Beyond Endpoints: Path-Centric Reasoning for Vectorized Off-Road Network Extraction CVPR 2026 CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models ACL 2026 Dual-Horizon Interest Model for Unified Search and Recommendation AAAI 2026 Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure AAAI 2026 HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation AAAI 2026 History to Future: Evolving Agent with Experience and Thought for Zero-shot Vision-and-Language Navigation CVPR 2026 OntoAug: Rethinking Generative Data Augmentation via Ontology Guidance CVPR 2026 DAEA: Enhancing Entity Alignment in Real-World Knowledge Graphs Through Multi-Source Domain Adaptation COLING 2025 Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT images MICCAI 2025 ITMatch: Arch-Guided Semi-Supervised Tooth Arrangement via Iterative Confidence Evaluation MICCAI 2025 Multi-Pass Memory Lower Bounds for Learning Problems COLT 2025 RT-DETRv3: Real-Time End-to-End Object Detection with Hierarchical Dense Positive Supervision WACV 2025 TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation CVPR 2025 Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images MICCAI 2024 Learning with Mixture of Prototypes for Out-of-Distribution Detection ICLR 2024 TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding WACV 2024 Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023 Explainable Recommendation with Personalized Review Retrieval and Aspect Learning ACL 2023 Source-free Depth for Object Pop-out ICCV 2023 Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization ACL 2023 Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention IJCAI 2022 Meta-Imitation Learning by Watching Video Demonstrations ICLR 2022 Dual Adversarial Network for Deep Active Learning ECCV 2020 Equally-Guided Discriminative Hashing for Cross-modal Retrieval IJCAI 2019 Dealing with Multiple Classes in Online Class Imbalance Learning IJCAI 2016