Wenhao Yu

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding ACL 2026 Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection ACL 2026 WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms EACL 2026 ReCode: Updating Code API Knowledge with Reinforcement Learning AAAI 2026 LocoTouch: Learning Dynamic Quadrupedal Transport with Tactile Sensing CORL 2025 PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation AAAI 2025 GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation AAAI 2025 BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions ICLR 2025 LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory ICLR 2025 Vision Language Models are In-Context Value Learners ICLR 2025 Understanding and Enhancing Mamba-Transformer Hybrids for Memory Recall and Language Modeling EMNLP 2025 WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model EMNLP 2025 Retrieval-augmented GUI Agents with Generative Guidelines EMNLP 2025 STDArm: Transfer Visuomotor Policy From Static Data Training to Dynamic Robot Manipulation RSS 2025 Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining RSS 2025 OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization ACL 2025 DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems NAACL 2025 Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots NAACL 2025 DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? ICLR 2025 RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph ICLR 2025 RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches ICLR 2024 OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NIPS 2024 WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models ACL 2024 PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning ACL 2024 Dense X Retrieval: What Retrieval Granularity Should We Use? EMNLP 2024 Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations NAACL 2024 Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination CORL 2024 Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning EMNLP 2024 Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models EMNLP 2024 Gradient shaping for multi-constraint safe reinforcement learning L4DC 2024 PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs ICML 2024 Learning to Learn Faster from Human Feedback with Language Model Predictive Control RSS 2024 Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs CORL 2024 IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions EMNLP 2023 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation NIPS 2023 Language to Rewards for Robotic Skill Synthesis CORL 2023 Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism CORL 2023 CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller CORL 2023 SayTap: Language to Quadrupedal Locomotion CORL 2023 APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning ACL 2023 A Survey of Deep Learning for Mathematical Reasoning ACL 2023 Large Language Models are Built-in Autoregressive Search Engines ACL 2023 A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods EACL 2023 Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning NIPS 2023 Pre-training Language Models for Comparative Reasoning EMNLP 2023 Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation EMNLP 2023 Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models EMNLP 2023 Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization ICLR 2023 Generate rather than Retrieve: Large Language Models are Strong Context Generators ICLR 2023 Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023 Continuous Versatile Jumping Using Learned Action Residuals L4DC 2023 Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering EMNLP 2022 Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering EMNLP 2022 Retrieval Augmentation for Commonsense Reasoning: A Unified Approach EMNLP 2022 A Unified Encoder-Decoder Framework with Entity Memory EMNLP 2022 Learning from Counterfactual Links for Link Prediction ICML 2022 Learning Semantics-Aware Locomotion Skills from Human Demonstration CORL 2022 Retrieval-augmented Generation across Heterogeneous Knowledge NAACL 2022 Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts NAACL 2022 Dict-BERT: Enhancing Language Model Pre-training with Dictionary ACL 2022 Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts ACL 2022 Knowledge-Augmented Methods for Natural Language Processing ACL 2022 Task Compass: Scaling Multi-task Pre-training with Task Prefix EMNLP 2022 KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering ACL 2022 Technical Question Answering across Tasks and Domains NAACL 2021 Visual-Locomotion: Learning to Walk on Complex Terrains with Vision CORL 2021 Injecting Entity Types into Entity-Guided Text Generation EMNLP 2021 Validating Label Consistency in NER Data Annotation EMNLP 2021 Knowledge-Enriched Natural Language Generation EMNLP 2021 Sentence-Permuted Paragraph Generation EMNLP 2021 A Technical Question Answering System with Transfer Learning EMNLP 2020 Crossing Variational Autoencoders for Answer Retrieval ACL 2020 Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER EMNLP 2020 Learning Novel Policies For Tasks ICML 2019 Policy Transfer with Strategy Optimization ICLR 2019 Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method EMNLP 2019 Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017