LMM-Det: Make Large Multimodal Models Excel in Object Detection | Paper Citation Record

Observation 58ed4f22-b4f8-40ad-a4d9-359276a652bb · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Flamingo: a visual language model for few-shot learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.331412Z

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Observation 27805ef5-c316-4dcb-8327-ef1aafee5b34 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.118189Z

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Observation c03da974-5d73-4943-9c95-182c33f9a3a4 · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Cascade r-cnn: Delving into high quality object detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.316592Z

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Observation d6888f5f-6120-4b14-bb59-2471112cb795 · outbound

This paper cites Honeybee: Locality-enhanced projector for multimodal llm.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Honeybee: Locality-enhanced projector for multimodal llm

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.300835Z

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Observation 9d2577a7-ffdb-4c06-a5e5-63e52e641ca9 · outbound

This paper cites X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages.

LMM-Det: Make Large Multimodal Models Excel in Object Detection X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.134807Z

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Observation 5d46851c-81b4-46c9-a20b-822e1986d547 · outbound

This paper cites Allava: Harnessing gpt4v- synthesized data for a lite vision-language model, 2024.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Allava: Harnessing gpt4v- synthesized data for a lite vision-language model, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.285513Z

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Observation 5d0fbbc1-6be6-4921-b7d9-c4527c2acd88 · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.145863Z

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Observation f2681c6b-841a-4a05-95db-0ff91859d98d · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.150411Z

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Observation a80e0917-a2be-41b4-a030-a1668d3b4f21 · outbound

This paper cites Glm: General language model pretraining with autoregressive blank infilling.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Glm: General language model pretraining with autoregressive blank infilling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.155155Z

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Observation d39d1c4f-789e-4370-bc1d-855a369de980 · outbound

This paper cites LVIS: A dataset for large vocabulary instance segmentation.

LMM-Det: Make Large Multimodal Models Excel in Object Detection LVIS: A dataset for large vocabulary instance segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.159873Z

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Observation 344af88c-0b80-4af1-9c1c-219d6367009c · outbound

This paper cites Efficient Multimodal Learning from Data-centric Perspective.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Efficient Multimodal Learning from Data-centric Perspective

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.164283Z

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Observation 35d22764-04c0-456f-8ac3-6dd7db62aadc · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

LMM-Det: Make Large Multimodal Models Excel in Object Detection CogVLM2: Visual Language Models for Image and Video Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.169091Z

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Observation b80f73ab-759f-4a65-9d7a-ee91caaefc00 · outbound

This paper cites Salience detr: Enhancing detection trans- former with hierarchical salience filtering refinement.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Salience detr: Enhancing detection trans- former with hierarchical salience filtering refinement

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.249214Z

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Observation 1929c7a6-2409-45b9-b92f-c3a2d481be66 · outbound

This paper cites mplug-docowl 1.5: Unified structure learning for ocr-free document understanding.

LMM-Det: Make Large Multimodal Models Excel in Object Detection mplug-docowl 1.5: Unified structure learning for ocr-free document understanding

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.232628Z

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Observation 51dc8c80-68d7-4889-8fcd-79fc9d9758a3 · outbound

This paper cites Detrs with hybrid matching.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Detrs with hybrid matching

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.216107Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a0e7103-7d10-4fe2-9e0e-4f07eb61bc5c · outbound

This paper cites Referitgame: Referring to objects in pho- tographs of natural scenes.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Referitgame: Referring to objects in pho- tographs of natural scenes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.187182Z

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Observation 9800eeba-e1b2-4715-a7a4-646b4b1401ad · outbound

This paper cites Openimages: A public dataset for large-scale multi-label and multi-class image classification.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Openimages: A public dataset for large-scale multi-label and multi-class image classification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.187371Z

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Observation d39e0ca0-c515-4ee9-844a-d43e7d6201cd · outbound

This paper cites Building and better understanding vision-language models: insights and future directions.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Building and better understanding vision-language models: insights and future directions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.196489Z

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Observation 476c6df1-cf32-4b2d-aa5b-90eddafff098 · outbound

This paper cites Blip- 2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Blip- 2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.171495Z

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Observation 565cd5ab-fd74-4391-99f2-b2b06f98ee1e · outbound

This paper cites Monkey: Image resolution and text label are important things for large multi-modal models.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Monkey: Image resolution and text label are important things for large multi-modal models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.154303Z

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Observation 98281367-7eab-4f27-84a6-8d5c990339cc · outbound

This paper cites Generative region-language pretraining for open-ended object detection.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Generative region-language pretraining for open-ended object detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.137555Z

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Observation 082175c0-5c53-4bd6-8a3e-494d025f87be · outbound

This paper cites Microsoft coco: Common objects in context.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Microsoft coco: Common objects in context

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.121477Z

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Observation ee13eab0-2b8b-45fe-a68a-0c7b0b986ce9 · outbound

This paper cites Visual instruction tuning.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Visual instruction tuning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.103453Z

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Observation 1b120a8b-eab7-47e7-bd7f-7b30a3a458b1 · outbound

This paper cites Llava-next: Improved reason- ing, ocr, and world knowledge, 2024.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Llava-next: Improved reason- ing, ocr, and world knowledge, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.088137Z

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Observation e431bbaa-d72d-4f2a-8b53-69f2174f4a63 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.229099Z

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Observation 98756f12-295d-4452-a514-451e1932840d · outbound

This paper cites Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:20:41.658332Z

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Observation c61919d6-a94b-425b-b8c5-06915cb95c05 · outbound

This paper cites Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.238757Z

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Observation 052f5567-27c8-4b4c-be71-d7197552d3df · outbound

This paper cites Scal- ing open-vocabulary object detection.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Scal- ing open-vocabulary object detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.071999Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a00781fd-abed-48a2-acaa-09997f4b0545 · outbound

This paper cites an unresolved cited work.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:20:42.054615Z

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Observation 2f254c71-48af-45ae-932f-27a1aa2fa4ad · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.253210Z

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Observation b5139c15-b74f-43f1-bee1-28ef7c17ab29 · outbound

This paper cites Learning transferable visual models from natural language supervision.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Learning transferable visual models from natural language supervision

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.039031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b4a0aea-8d96-4d95-9530-be0dd34651e0 · outbound

This paper cites Anwer, Eric Xing, Ming-Hsuan Yang, and Fahad S.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Anwer, Eric Xing, Ming-Hsuan Yang, and Fahad S

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.262855Z

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Observation 837f13fa-8959-442a-b801-bc624c644b0d · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:42.010266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6cd99452-18f4-4f55-99e5-0da38c2b3aa0 · outbound

This paper cites Grounding dino 1.5: Advance the "edge" of open-set object detection, 2024.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Grounding dino 1.5: Advance the "edge" of open-set object detection, 2024

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.993470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 49ccb3ad-52a0-4065-a8cd-990bbf6c9447 · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Objects365: A large-scale, high-quality dataset for object detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.978046Z

Source-reported events for the cited work

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Observation b870a08f-6937-4ea0-895f-4d4287904f6e · outbound

This paper cites Cambrian-1: A fully open, vision-centric exploration of multimodal llms, 2024.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Cambrian-1: A fully open, vision-centric exploration of multimodal llms, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.962458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0322734e-0a1e-4d52-b725-2d6e3fae8019 · outbound

This paper cites Iaa: Inner-adaptor architecture empowers frozen large language model with multimodal capabilities.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Iaa: Inner-adaptor architecture empowers frozen large language model with multimodal capabilities

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.947188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 468d53aa-7fe4-4c97-8da8-343b9e703d7b · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.290110Z

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Observation 8fb52397-f1fb-4d66-8565-f7bb61048fbf · outbound

This paper cites Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.295610Z

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Observation e79f9c03-8f8e-4163-8f48-d84cf427e9cc · outbound

This paper cites General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model.

LMM-Det: Make Large Multimodal Models Excel in Object Detection General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.300411Z

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Observation be62617d-1ea0-40d5-a7ab-2180920b719e · outbound

This paper cites Skywork: A More Open Bilingual Foundation Model.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Skywork: A More Open Bilingual Foundation Model

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.304607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff4647ae-7bcd-46f1-b7d6-d1feb6494acd · outbound

This paper cites Visionllm v2: An end-to-end generalist multimodal large language model for hundreds of vision-language tasks.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Visionllm v2: An end-to-end generalist multimodal large language model for hundreds of vision-language tasks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.931671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8ca45a51-e777-490b-9d47-ac8345db92a6 · outbound

This paper cites Deepseek- vl2: Mixture-of-experts vision-language models for advanced multimodal understanding, 2024.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Deepseek- vl2: Mixture-of-experts vision-language models for advanced multimodal understanding, 2024

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.915560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 046407b3-8617-4bad-93dd-d6babea75009 · outbound

This paper cites Ccmb: A large-scale chinese cross- modal benchmark.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Ccmb: A large-scale chinese cross- modal benchmark

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.899307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c9c66b6-a221-4452-863c-7827fa9e2d26 · outbound

This paper cites FG-CLIP: Fine-Grained Visual and Textual Alignment.

LMM-Det: Make Large Multimodal Models Excel in Object Detection FG-CLIP: Fine-Grained Visual and Textual Alignment

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.324154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4af59aa-d814-470f-b77b-9845ee14c2f8 · outbound

This paper cites Llava-cot: Let vision language models reason step-by-step, 2024.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Llava-cot: Let vision language models reason step-by-step, 2024

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.882457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e7e450db-e393-40cb-b8f8-ba493cc0aafc · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

LMM-Det: Make Large Multimodal Models Excel in Object Detection MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.333364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36d87560-cc15-4da0-9f18-62bc53828daa · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

LMM-Det: Make Large Multimodal Models Excel in Object Detection mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.337989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25938f21-ddf7-4d62-b1a7-7c9a3aed47e2 · outbound

This paper cites Ferret: Refer and Ground Anything Anywhere at Any Granularity.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Ferret: Refer and Ground Anything Anywhere at Any Granularity

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.343049Z

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Observation 5bd2b0d3-8bcc-4278-b687-13d9cf31877b · outbound

This paper cites Griffon v2: Advancing multimodal perception with high-resolution scaling and visual-language co-referring, 2024.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Griffon v2: Advancing multimodal perception with high-resolution scaling and visual-language co-referring, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.865686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05456998-e84d-446b-87f2-f5cab2bb312f · outbound

This paper cites Griffon: Spelling out all object locations at any granularity with large language models.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Griffon: Spelling out all object locations at any granularity with large language models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.849590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5adb5b21-dda0-4a01-98fe-8b0fe5af8fa1 · outbound

This paper cites LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models.

LMM-Det: Make Large Multimodal Models Excel in Object Detection LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.357690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ff683b7-901f-48ef-a96f-1e6668a92687 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 53

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Observation acf63f30-37ca-40c5-8b35-65724dc9e9ef · outbound

This paper cites Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.367508Z

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Observation acaece5a-8065-43db-ae5e-13efe8aae67f · outbound

This paper cites Detrs beat yolos on real-time object detection, 2024.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Detrs beat yolos on real-time object detection, 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.833175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 841aa40c-cb43-4908-b970-6244ff139a4d · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

LMM-Det: Make Large Multimodal Models Excel in Object Detection MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:41.377155Z

Source-reported events for the cited work

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Observation f1f79241-7ff3-4be4-a236-f2768dab37fe · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Deformable detr: Deformable transformers for end-to-end object detection

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:41.816775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ae4fb308-6e4a-4e4b-92ce-a1acdf958aef · outbound

This paper cites Multi-step.

LMM-Det: Make Large Multimodal Models Excel in Object Detection Multi-step

Reference 58

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T18:20:41.800601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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