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Referring expression generation

Generate referring expressions

Papers

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Showing 26–50 of 84 papers

TitleStatusHype
Vision-Language Models Are Not Pragmatically Competent in Referring Expression GenerationCode0
Whether you can locate or not? Interactive Referring Expression GenerationCode0
Gera \~ao de Express\~oes de Refer\^encia usando Rela \~oes Espaciais (Referring Expression Generation Using Spatial Relations) [in Portuguese]—0
CoNAN: A Complementary Neighboring-based Attention Network for Referring Expression Generation—0
Trainable Referring Expression Generation using Overspecification Preferences—0
G-TUNA: a corpus of referring expressions in German, including duration information—0
Comprehension-guided referring expressions—0
Improving the generation of personalised descriptions—0
Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training—0
Informativity in Image Captions vs. Referring Expressions—0
Intrinsic Task-based Evaluation for Referring Expression Generation—0
Justifying Corpus-Based Choices in Referring Expression Generation—0
Combining Referring Expression Generation and Surface Realization: A Corpus-Based Investigation of Architectures—0
Learning Distributions over Logical Forms for Referring Expression Generation—0
Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm—0
Lessons from Computational Modelling of Reference Production in Mandarin and English—0
Building Multimodal Simulations for Natural Language—0
Meteorologists and Students: A resource for language grounding of geographical descriptors—0
Augmenting Robot Knowledge Consultants with Distributed Short Term Memory—0
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset—0
A Predictive Model for Notional Anaphora in English—0
An Incremental Iterated Response Model of Pragmatics—0
MuDoCo: Corpus for Multidomain Coreference Resolution and Referring Expression Generation—0
An Empirical Approach for Modeling Fuzzy Geographical Descriptors—0
Adapting Descriptions of People to the Point of View of a Moving Observer—0
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All datasetsColonINST-v1 (Seen)ColonINST-v1 (Unseen)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ColonGPT (w/ LoRA, w/o extra data)Accuray99.96—Unverified
2LLaVA-v1.5 (w/ LoRA, w/ extra data)Accuray99.32—Unverified
3LLaVA-Med-v1.5 (w/ LoRA, w/o extra data)Accuray99.3—Unverified
4MGM-2B (w/o LoRA, w/ extra data)Accuray98.75—Unverified
5LLaVA-v1.5 (w/ LoRA, w/o extra data)Accuray98.58—Unverified
6MGM-2B (w/o LoRA, w/o extra data)Accuray98.17—Unverified
7MobileVLM-1.7B (w/ LoRA, w/ extra data)Accuray97.87—Unverified
8MobileVLM-1.7B (w/o LoRA, w/ extra data)Accuray97.78—Unverified
9LLaVA-Med-v1.0 (w/o LoRA, w/o extra data)Accuray97.74—Unverified
10LLaVA-Med-v1.0 (w/o LoRA, w/ extra data)Accuray97.35—Unverified
#ModelMetricClaimedVerifiedStatus
1LLaVA-Med-v1.5 (w/ LoRA, w/ extra data)Accuray70—Unverified
2LLaVA-v1 (w/ LoRA, w/ extra data)Accuray46.85—Unverified