SOTAVerified

Referring expression generation

Generate referring expressions

Papers

Showing 150 of 84 papers

TitleStatusHype
Vision-Language Models Are Not Pragmatically Competent in Referring Expression GenerationCode0
Frontiers in Intelligent ColonoscopyCode2
Grounding Language in Multi-Perspective Referential CommunicationCode0
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoECode1
Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension GuidingCode0
Resilience through Scene Context in Visual Referring Expression GenerationCode0
Mini-Gemini: Mining the Potential of Multi-modality Vision Language ModelsCode7
Elysium: Exploring Object-level Perception in Videos via MLLMCode2
Multi-modal Instruction Tuned LLMs with Fine-grained Visual PerceptionCode1
Efficient Multimodal Learning from Data-centric PerspectiveCode5
Intrinsic Task-based Evaluation for Referring Expression Generation0
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile DevicesCode3
Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language ModelsCode0
GLaMM: Pixel Grounding Large Multimodal ModelCode2
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningCode7
Improved Baselines with Visual Instruction TuningCode6
Collecting Visually-Grounded Dialogue with A Game Of SortsCode0
Whether you can locate or not? Interactive Referring Expression GenerationCode0
Kosmos-2: Grounding Multimodal Large Language Models to the WorldCode1
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayCode4
DisCLIP: Open-Vocabulary Referring Expression Generation0
Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from ExamplesCode0
Visual Instruction TuningCode6
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset0
Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach0
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation Systems0
Using Referring Expression Generation to Model Literary Style0
Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation0
What can Neural Referential Form Selectors Learn?0
Enriching the E2E datasetCode0
Perspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction0
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation0
Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training0
Generating Quantified Referring Expressions through Attention-Driven Incremental Perception0
OMEGA : A probabilistic approach to referring expression generation in a virtual environment0
CoNAN: A Complementary Neighboring-based Attention Network for Referring Expression Generation0
Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities0
Lessons from Computational Modelling of Reference Production in Mandarin and English0
Fuzzy Logic for Vagueness Management in Referring Expression Generation0
Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures0
Informativity in Image Captions vs. Referring Expressions0
MuDoCo: Corpus for Multidomain Coreference Resolution and Referring Expression Generation0
A case study on context-bound referring expression generation0
Improving Quality and Efficiency in Plan-based Neural Data-to-Text GenerationCode0
Referring Expression Generation Using Entity ProfilesCode0
Augmenting Robot Knowledge Consultants with Distributed Short Term Memory0
Adapting Descriptions of People to the Point of View of a Moving Observer0
Enriching the WebNLG corpusCode0
Decoding Strategies for Neural Referring Expression Generation0
Statistical NLG for Generating the Content and Form of Referring Expressions0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ColonGPT (w/ LoRA, w/o extra data)Accuray99.96Unverified
2LLaVA-v1.5 (w/ LoRA, w/ extra data)Accuray99.32Unverified
3LLaVA-Med-v1.5 (w/ LoRA, w/o extra data)Accuray99.3Unverified
4MGM-2B (w/o LoRA, w/ extra data)Accuray98.75Unverified
5LLaVA-v1.5 (w/ LoRA, w/o extra data)Accuray98.58Unverified
6MGM-2B (w/o LoRA, w/o extra data)Accuray98.17Unverified
7MobileVLM-1.7B (w/ LoRA, w/ extra data)Accuray97.87Unverified
8MobileVLM-1.7B (w/o LoRA, w/ extra data)Accuray97.78Unverified
9LLaVA-Med-v1.0 (w/o LoRA, w/o extra data)Accuray97.74Unverified
10LLaVA-Med-v1.0 (w/o LoRA, w/ extra data)Accuray97.35Unverified
#ModelMetricClaimedVerifiedStatus
1LLaVA-Med-v1.5 (w/ LoRA, w/ extra data)Accuray70Unverified
2LLaVA-v1 (w/ LoRA, w/ extra data)Accuray46.85Unverified