Yuxiao Dong

KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic Tasks ACL 2026 VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation AAAI 2026 SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling ACL 2025 LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-Context QA ACL 2025 Controlling Large Language Model with Latent Action ICML 2025 MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models CVPR 2025 T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling ICML 2025 LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs ICLR 2025 AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents ACL 2025 CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning ICLR 2025 AndroidGen: Building an Android Language Agent under Data Scarcity ACL 2025 A Survey of Post-Training Scaling in Large Language Models ACL 2025 LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks ACL 2025 LongReward: Improving Long-context Large Language Models with AI Feedback ACL 2025 VPO: Aligning Text-to-Video Generation Models with Prompt Optimization ICCV 2025 LVBench: An Extreme Long Video Understanding Benchmark ICCV 2025 VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents ICLR 2025 AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models ACL 2025 Scaling Speech-Text Pre-training with Synthetic Interleaved Data ICLR 2025 SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models ICLR 2025 WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning ICLR 2025 CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer ICLR 2025 TreeRL: LLM Reinforcement Learning with On-Policy Tree Search ACL 2025 LongSafety: Evaluating Long-Context Safety of Large Language Models ACL 2025 SceneGenAgent: Precise Industrial Scene Generation with Coding Agent ACL 2025 LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models ACL 2025 LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering EMNLP 2024 SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models NIPS 2024 Understanding Emergent Abilities of Language Models from the Loss Perspective NIPS 2024 ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NIPS 2024 CogVLM: Visual Expert for Pretrained Language Models NIPS 2024 TriSampler: A Better Negative Sampling Principle for Dense Retrieval AAAI 2024 LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding ACL 2024 Black-Box Prompt Optimization: Aligning Large Language Models without Model Training ACL 2024 AlignBench: Benchmarking Chinese Alignment of Large Language Models ACL 2024 CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation ACL 2024 OpenWebAgent: An Open Toolkit to Enable Web Agents on Large Language Models ACL 2024 AutoRE: Document-Level Relation Extraction with Large Language Models ACL 2024 AgentTuning: Enabling Generalized Agent Abilities for LLMs ACL 2024 NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries ACL 2024 Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration ACL 2024 CogAgent: A Visual Language Model for GUI Agents CVPR 2024 CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion ECCV 2024 Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer. ECCV 2024 Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments EMNLP 2024 CharacterGLM: Customizing Social Characters with Large Language Models EMNLP 2024 LongAlign: A Recipe for Long Context Alignment of Large Language Models EMNLP 2024 AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models EMNLP 2024 ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline EMNLP 2024 AgentBench: Evaluating LLMs as Agents ICLR 2024 Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers EMNLP 2023 ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation NIPS 2023 GLM-130B: An Open Bilingual Pre-trained Model ICLR 2023 IDPG: An Instance-Dependent Prompt Generation Method NAACL 2022 Adaptive Diffusion in Graph Neural Networks NIPS 2021 P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion EMNLP 2021 Open Graph Benchmark: Datasets for Machine Learning on Graphs NIPS 2020 Graph Random Neural Networks for Semi-Supervised Learning on Graphs NIPS 2020 Heterogeneous Network Representation Learning IJCAI 2020 ProNE: Fast and Scalable Network Representation Learning IJCAI 2019