Latest

• 4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time
• VEGGIE: Instructional Editing and Reasoning of Video Concepts with Grounded Generation
• Vision-Language Models Are Not Pragmatically Competent in Referring Expression Generation
• AimBot: A Simple Auxiliary Visual Cue to Enhance Spatial Awareness of Visuomotor Policies
• Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
• Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding Tutors
• Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations
• Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference under Ambiguities
• Communication and Verification in LLM Agents towards Collaboration under Information Asymmetry
• Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models
• Multi-Object Hallucination in Vision-Language Models
• GROUNDHOG: Grounding Large Language Models to Holistic Segmentation
• Inversion-Free Image Editing with Language-Guided Diffusion Models
• DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences
• Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions
• Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models
• CycleNet: Rethinking Cycle Consistent in Text‑Guided Diffusion for Image Manipulation
• Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models
• Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue
• NLP Reproducibility For All: Understanding Experiences of Beginners
• World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Models
• SEAGULL: An Embodied Agent for Instruction Following through Situated Dialog
• Partition-Based Active Learning for Graph Neural Networks
• DANLI: Deliberative Agent for Following Natural Language Instructions
• DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents