SOTAVerified

Referring expression generation

Generate referring expressions

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 84 papers

TitleStatusHype
Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach—0
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation Systems—0
Using Referring Expression Generation to Model Literary Style—0
Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation—0
What can Neural Referential Form Selectors Learn?—0
Enriching the E2E datasetCode0
Perspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction—0
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation—0
Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training—0
OMEGA : A probabilistic approach to referring expression generation in a virtual environment—0
Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities—0
Generating Quantified Referring Expressions through Attention-Driven Incremental Perception—0
CoNAN: A Complementary Neighboring-based Attention Network for Referring Expression Generation—0
Lessons from Computational Modelling of Reference Production in Mandarin and English—0
Fuzzy Logic for Vagueness Management in Referring Expression Generation—0
Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures—0
Informativity in Image Captions vs. Referring Expressions—0
MuDoCo: Corpus for Multidomain Coreference Resolution and Referring Expression Generation—0
A case study on context-bound referring expression generation—0
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 Memory—0
Adapting Descriptions of People to the Point of View of a Moving Observer—0
Enriching the WebNLG corpusCode0
Decoding Strategies for Neural Referring Expression Generation—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