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Guohao Li

20 papers · 2019–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+10 more ↓ 🗺️ Taxonomy Completionist (53) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
👥 Mega-Team · Squad 🧬 Topic Evolution 🏆 Grand Slam 🤝 Dynamic Duo (11) ❓ The Questioner (3) 🔥 Unstoppable · Bronze 💎 Century Club · Bronze ⚡ Prolific Year · Productive 🌈 Renaissance Researcher (6) 🗃️ Keyword Collector (116)

Papers

AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments ACL 2026 Beyond Human Labels: A Multi-Linguistic Auto-Generated Benchmark for Evaluating Large Language Models on Resume Parsing EMNLP 2025 Can an Individual Manipulate the Collective Decisions of Multi-Agents? EMNLP 2025 CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents ACL 2025 EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents ICLR 2025 IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation ICLR 2025 OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis ACL 2025 Vision-Language Models Do Not Understand Negation CVPR 2025 Can Large Language Model Agents Simulate Human Trust Behavior? NeurIPS 2024 Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training EMNLP 2024 CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society NeurIPS 2023 How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers RSS 2023 Multi-Domain Generalized Graph Meta Learning AAAI 2023 Robust Optimization As Data Augmentation for Large-Scale Graphs CVPR 2022 ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning NeurIPS 2021 PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks CVPR 2021 Training Graph Neural Networks with 1000 Layers ICML 2021 SGAS: Sequential Greedy Architecture Search CVPR 2020 DeepGCNs: Can GCNs Go As Deep As CNNs? ICCV 2019 OIL: Observational Imitation Learning RSS 2019