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Referring expression generation
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Generate referring expressions
논문
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Frontiers in Intelligent Colonoscopy
Grounding Language in Multi-Perspective Referential Communication
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension Guiding
Resilience through Scene Context in Visual Referring Expression Generation
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Elysium: Exploring Object-level Perception in Videos via MLLM
Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
Efficient Multimodal Learning from Data-centric Perspective
Intrinsic Task-based Evaluation for Referring Expression Generation
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices
Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language Models
GLaMM: Pixel Grounding Large Multimodal Model
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Improved Baselines with Visual Instruction Tuning
Collecting Visually-Grounded Dialogue with A Game Of Sorts
Whether you can locate or not? Interactive Referring Expression Generation
Kosmos-2: Grounding Multimodal Large Language Models to the World
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
DisCLIP: Open-Vocabulary Referring Expression Generation
Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples
Visual Instruction Tuning
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset
Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation Systems
What can Neural Referential Form Selectors Learn?
Perspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation
Lessons from Computational Modelling of Reference Production in Mandarin and English
Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures
Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation
Referring Expression Generation Using Entity Profiles
Augmenting Robot Knowledge Consultants with Distributed Short Term Memory
Generating Texts with Integer Linear Programming
An Incremental Iterated Response Model of Pragmatics
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