Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding | Paper Citation Record

Observation 8b4be10b-1382-44bd-b4af-51394726bd5b · outbound

This paper cites Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:02.199814Z

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Observation da35ada0-b447-4d57-b7e9-3dacc66b8a36 · outbound

This paper cites Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond, 2023.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond, 2023

Reference 2

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Observation ed9d6ede-b858-48e3-b7f7-dbce13430eea · outbound

This paper cites Paligemma: A versatile 3b vlm for transfer, 2024.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Paligemma: A versatile 3b vlm for transfer, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:02.171991Z

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Observation 6acb85eb-f62b-4b90-b140-5ed25d4dc631 · outbound

This paper cites Meyer, Yuning Chai, and Yong Jae Lee.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Meyer, Yuning Chai, and Yong Jae Lee

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:02.155473Z

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Observation 6d3a2c34-fd32-4b0c-a84d-2f92adad4e50 · outbound

This paper cites End-to-End Object Detection with Transformers.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding End-to-End Object Detection with Transformers

Reference 5

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Observation 87d26fe7-bffa-416e-ab89-53b1cee56357 · outbound

This paper cites Chang, and Matthias Nießner.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Chang, and Matthias Nießner

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:02.140911Z

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Observation f83ae1f4-d6ec-4ce9-a251-543cbc481efd · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Reproducible scaling laws for contrastive language-image learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:02.122862Z

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Observation 39df7291-0c35-4e9b-8dad-793358ac81fd · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Gonzalez, Ion Stoica, and Eric P

Reference 8

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Observation 762ea977-ff9d-4b23-8948-1f2264653156 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding PaLM: Scaling Language Modeling with Pathways

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.135730Z

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Observation f3c3f399-48b3-460c-b636-d75fea4626d4 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Scaling Instruction-Finetuned Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.140159Z

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Observation f8130732-5a40-464b-a7ca-5f1466da59d3 · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning, 2023.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Instructblip: Towards general-purpose vision-language models with instruction tuning, 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.145285Z

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Observation c45436c2-9cb1-4049-a484-6e16fa69a7d2 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms, 2023.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Qlora: Efficient finetuning of quantized llms, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:02.079283Z

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Observation 37ccbc78-2b94-4772-9e69-0970e51f125a · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding, 10 2018.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Bert: Pre-training of deep bidirectional transformers for language understanding, 10 2018

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:02.062339Z

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Observation c9f7267a-0eec-42da-bda3-570e8bd66d9e · outbound

This paper cites Eva: Exploring the limits of masked visual representation learning at scale, 12 2022.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Eva: Exploring the limits of masked visual representation learning at scale, 12 2022

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:02.042675Z

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Observation cf39f242-ab4c-42d8-a1da-c4bfbcc6a177 · outbound

This paper cites Sebastian Borgeaud.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Sebastian Borgeaud

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:02.024059Z

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Observation b58ed854-ed16-400c-9f2d-071448d86b51 · outbound

This paper cites Arzen-llm: Code-switched egyptian arabic-english translation and speech recognition using llms.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Arzen-llm: Code-switched egyptian arabic-english translation and speech recognition using llms

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:02.007589Z

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Observation a5bc6b3b-bfbb-46e5-be73-e7cf9a4bf894 · outbound

This paper cites Lawrence Zitnick, and Ross Girshick.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Lawrence Zitnick, and Ross Girshick

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.984777Z

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Observation 1e6b80dc-c27f-46a2-9f2c-b95a4af42833 · outbound

This paper cites What's "up" with vision-language models? Investigating their struggle with spatial reasoning.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding What's "up" with vision-language models? Investigating their struggle with spatial reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.174246Z

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Observation cdb5dbec-3f04-4245-9e98-ac561733b61f · outbound

This paper cites Referitgame: Referring to objects in photographs of natural scenes.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Referitgame: Referring to objects in photographs of natural scenes

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.178917Z

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Observation 3927bc2f-8dbe-4b33-a61c-38541ce2b2d6 · outbound

This paper cites Computational genera- tion of referring expressions: A survey.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Computational genera- tion of referring expressions: A survey

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.956685Z

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Observation 50d03fe8-9096-468a-9ad8-5caeda702d2e · outbound

This paper cites When to retrieve: Teaching llms to utilize information retrieval effectively, 05 2024.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding When to retrieve: Teaching llms to utilize information retrieval effectively, 05 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.940399Z

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Observation 5c85146a-578c-46bf-bcea-0d30960c5668 · outbound

This paper cites Blip-2: Boot- strapping language-image pre-training with frozen image encoders and large language models, 2023.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Blip-2: Boot- strapping language-image pre-training with frozen image encoders and large language models, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.926351Z

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Observation 27718a0e-9a3d-4103-a71c-5aeb284cd0f7 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation, 2022.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation, 2022

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.201033Z

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Observation 5f3c152d-a8c4-4ad4-94e0-c62a001d1e4c · outbound

This paper cites Selvaraju, Akhilesh Deepak Gotmare, Shafiq Joty, Caiming Xiong, and Steven Hoi.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Selvaraju, Akhilesh Deepak Gotmare, Shafiq Joty, Caiming Xiong, and Steven Hoi

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.902440Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d69a8043-cef0-40f3-93c5-14e17c9fe60a · outbound

This paper cites Lawrence Zitnick, and Piotr Doll´ar.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Lawrence Zitnick, and Piotr Doll´ar

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.884073Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ff3f4944-11d7-4a4e-9e26-782abbd2c978 · outbound

This paper cites Visual spatial reasoning, 2023.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Visual spatial reasoning, 2023

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.215353Z

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Observation 2e54f4f4-558c-4328-af62-5476b10f019b · outbound

This paper cites Refer-it-in-rgbd: A bottom-up approach for 3d visual grounding in rgbd images.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Refer-it-in-rgbd: A bottom-up approach for 3d visual grounding in rgbd images

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.860306Z

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Observation 378b87a3-6f1a-429d-8baf-4ab029211aa2 · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Improved baselines with visual instruction tuning, 2023

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.227573Z

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Observation 3e2f3754-f5cc-4591-bcb2-dcc28e77cb6b · outbound

This paper cites Visual instruction tuning.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Visual instruction tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.232461Z

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Observation 2ad51824-6f5f-4c72-9c8a-aec9b6d663c0 · outbound

This paper cites Clevr- ref+: Diagnosing visual reasoning with referring expressions.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Clevr- ref+: Diagnosing visual reasoning with referring expressions

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.822384Z

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Observation abaaab58-51d3-4651-a77c-354ec57b547f · outbound

This paper cites Roberta: A robustly optimized bert pretraining approach, 2019.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Roberta: A robustly optimized bert pretraining approach, 2019

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.805674Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7891a45e-b672-4cea-9da9-f46cbd335944 · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding MMBench: Is Your Multi-modal Model an All-around Player?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.248047Z

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Observation f2dd3b37-32f9-4cbf-adc4-c732769c27d4 · outbound

This paper cites An embarrassingly simple approach for llm with strong asr capacity.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding An embarrassingly simple approach for llm with strong asr capacity

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.789663Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 14052c44-5cfb-4b4e-bfb2-aa3f316cb49a · outbound

This paper cites Generation and comprehension of unambiguous object descriptions, 2016.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Generation and comprehension of unambiguous object descriptions, 2016

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.774052Z

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Observation 8f8cf1a7-e58c-4095-8fa7-3a664ea5b488 · outbound

This paper cites Sun-spot: An rgb-d dataset with spatial referring expressions.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Sun-spot: An rgb-d dataset with spatial referring expressions

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.759669Z

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Observation 6212bf1c-060d-4f35-8ddf-b9d89230f993 · outbound

This paper cites Domain terminology integration into machine translation: Leveraging large language models, 2023.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Domain terminology integration into machine translation: Leveraging large language models, 2023

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.744988Z

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Observation 172f7d6a-b936-4f74-98e3-f8da32adf00f · outbound

This paper cites MMGER: Multi-modal and Multi-granularity Generative Error Correction with LLM for Joint Accent and Speech Recognition.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding MMGER: Multi-modal and Multi-granularity Generative Error Correction with LLM for Joint Accent and Speech Recognition

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.272339Z

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Observation a287a7dd-1a97-4e49-97df-e94acd94d29e · outbound

This paper cites GPT-4 Technical Report.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding GPT-4 Technical Report

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.278138Z

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Observation 9ef06a3e-801d-43e5-bbec-4cab472d661c · outbound

This paper cites Reverie: Remote embodied visual referring expression in real indoor environments, 2020.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Reverie: Remote embodied visual referring expression in real indoor environments, 2020

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.725428Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aa93edda-840a-48b5-a640-a9d3aa962d3b · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Learning Transferable Visual Models From Natural Language Supervision

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.288751Z

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Observation 5dac8927-2b91-471b-8687-8912fdb530b0 · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Sun rgb-d: A rgb-d scene understanding benchmark suite

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.293525Z

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Observation 1e05419f-41f1-41e1-b87b-2e32960c3ae2 · outbound

This paper cites Eva- clip: Improved training techniques for clip at scale, 03 2023.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Eva- clip: Improved training techniques for clip at scale, 03 2023

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.693187Z

Source-reported events for the cited work

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Observation ba500ec0-b31a-4592-9f9c-68fd8781acca · outbound

This paper cites Self-retrieval: Building an information retrieval system with one large language model.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Self-retrieval: Building an information retrieval system with one large language model

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.674285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7cc07cf8-ec25-4113-a282-d956bbc8a967 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding LLaMA: Open and Efficient Foundation Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.311814Z

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Observation f5505bb0-e851-4ef3-a301-8ecbf0ea6c15 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.654685Z

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Observation 3f3ad556-9c77-41fb-b97d-86ec82214b33 · outbound

This paper cites The generation of natural descrip- tions: corpus-based investigations of referring expressions in visual domains.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding The generation of natural descrip- tions: corpus-based investigations of referring expressions in visual domains

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.638951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90b8c13a-315c-4806-982e-dacf13fa1c13 · outbound

This paper cites Set-of-mark prompting unleashes extraordinary visual grounding in gpt-4v, 2023.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Set-of-mark prompting unleashes extraordinary visual grounding in gpt-4v, 2023

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:01.327938Z

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Observation 2d377aad-26fb-44de-89cb-11dafc29afbe · outbound

This paper cites Xlnet: Generalized autoregressive pretraining for language understanding, 2019.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Xlnet: Generalized autoregressive pretraining for language understanding, 2019

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.609997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 200d4cde-550a-45b7-a4d3-9273d800c70f · outbound

This paper cites Modeling context in referring expressions.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Modeling context in referring expressions

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.595606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0361d342-2114-4f40-aa67-82e7f06e30b6 · outbound

This paper cites A joint speaker-listener-reinforcer model for referring expressions.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding A joint speaker-listener-reinforcer model for referring expressions

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.579028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ceb79ce-3570-4b12-aa65-c996ba87e7e2 · outbound

This paper cites Prompting large language model for machine translation: A case study, 2023.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Prompting large language model for machine translation: A case study, 2023

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.563240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d2ff4c5a-c55a-4eb0-bf61-eb5f79fce442 · outbound

This paper cites Toolqa: A dataset for llm question answering with external tools.

Spatial-LLaVA: Enhancing Large Language Models with Spatial Referring Expressions for Visual Understanding Toolqa: A dataset for llm question answering with external tools

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:42:01.549350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Outbound references

Pith citing papers