SOTAVerified

Referring expression generation

Generate referring expressions

Papers

Showing 5184 of 84 papers

TitleStatusHype
Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach0
Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities0
A case study on context-bound referring expression generation0
Semi-automatic definite description annotation: a first report0
SemScribe: Natural Language Generation for Medical Reports0
Squib: Effects of Cognitive Effort on the Resolution of Overspecified Descriptions0
The Methodius Corpus of Rhetorical Discourse Structures and Generated Texts0
Statistical NLG for Generating the Content and Form of Referring Expressions0
The WebNLG Challenge: Generating Text from RDF Data0
Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures0
Towards Situated Dialogue: Revisiting Referring Expression Generation0
Trainable Referring Expression Generation using Overspecification Preferences0
Using Referring Expression Generation to Model Literary Style0
Combining Referring Expression Generation and Surface Realization: A Corpus-Based Investigation of Architectures0
Comprehension-guided referring expressions0
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation0
What can Neural Referential Form Selectors Learn?0
CoNAN: A Complementary Neighboring-based Attention Network for Referring Expression Generation0
Creating Training Corpora for NLG Micro-Planners0
Decoding Strategies for Neural Referring Expression Generation0
Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation0
Whether you can locate or not? Interactive Referring Expression GenerationCode0
Collecting Visually-Grounded Dialogue with A Game Of SortsCode0
Enriching the E2E datasetCode0
Enriching the WebNLG corpusCode0
Grounding Language in Multi-Perspective Referential CommunicationCode0
NeuralREG: An end-to-end approach to referring expression generationCode0
Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from ExamplesCode0
Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension GuidingCode0
Referring Expression Generation Using Entity ProfilesCode0
Resilience through Scene Context in Visual Referring Expression GenerationCode0
Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language ModelsCode0
Vision-Language Models Are Not Pragmatically Competent in Referring Expression GenerationCode0
Improving Quality and Efficiency in Plan-based Neural Data-to-Text GenerationCode0
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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