LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance | Paper Citation Record

Observation 07667d61-3b90-4a50-90bc-9f7a8a79023a · outbound

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

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Flamingo: a visual language model for few-shot learning

Reference 1

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Observation c1f30626-190d-43bc-819e-4e08e8f582bc · outbound

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

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

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Observation d23a0cfd-ddfe-4b24-8f4c-4404ada3607a · outbound

This paper cites Internlm2 technical report, 2024.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Internlm2 technical report, 2024

Reference 3

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Observation 123fb9d3-7959-44c2-9874-ddae3b8b1325 · outbound

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

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 4

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Observation c3620d91-5c04-46bf-893c-40517ccf4caa · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 5

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Observation 946f5be3-94c9-4f85-bc6b-7c95eeeabba7 · outbound

This paper cites PaLI-3 Vision Language Models: Smaller, Faster, Stronger.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance PaLI-3 Vision Language Models: Smaller, Faster, Stronger

Reference 6

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Observation d81d9a75-d6a1-44b0-939c-e8ea40a342be · outbound

This paper cites Sam4mllm: Enhance multi- modal large language model for referring expression seg- mentation.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Sam4mllm: Enhance multi- modal large language model for referring expression seg- mentation

Reference 7

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Observation b0dd2dbc-8952-4815-99c9-5af96197e5de · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 8

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Observation c8a9d86c-06d2-405c-bf13-9c82085b0b48 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 9

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Observation 15eff456-804c-4064-8188-8081a0d0bf2d · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing

Reference 10

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Observation 1c9bccd3-d49d-4815-ac94-3b5dbda9a750 · outbound

This paper cites Vizwiz grand challenge: Answering visual questions from blind people.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Vizwiz grand challenge: Answering visual questions from blind people

Reference 11

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Observation d81508aa-362c-4002-8d5a-19dc7109a3c5 · outbound

This paper cites Cogagent: A visual language model for gui agents.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Cogagent: A visual language model for gui agents

Reference 12

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Observation 7d658121-544e-4f2b-8fa0-5497626ca68c · outbound

This paper cites Lora: Low-rank adaptation of large language models.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Lora: Low-rank adaptation of large language models

Reference 13

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Observation 2fd3d24c-5388-4590-a076-c05969ca92b0 · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 14

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Observation 92808272-303a-4110-968f-bc3d929e9205 · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 15

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Observation 5d63ed73-3ef4-4c6e-8065-d8fcd8893485 · outbound

This paper cites Dvqa: Understanding data visualizations via ques- tion answering.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Dvqa: Understanding data visualizations via ques- tion answering

Reference 16

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Observation be61820e-baf0-4138-88c9-9fe5c3de2be3 · outbound

This paper cites A diagram is worth a dozen images.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance A diagram is worth a dozen images

Reference 17

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Observation 5f422613-5648-437a-a5b1-21c108970889 · outbound

This paper cites Segment any- thing.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Segment any- thing

Reference 18

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Observation f9151211-5ed7-40c3-a995-6a6ec82e37ca · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Lisa: Reasoning segmentation via large language model

Reference 19

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Observation 9912157e-0ba8-4078-98f6-3d9d0e1c2f97 · outbound

This paper cites Text4Seg: Reimagining Image Segmentation as Text Generation.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Text4Seg: Reimagining Image Segmentation as Text Generation

Reference 20

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Observation 438b3181-0746-4800-8651-c1a3abe12590 · outbound

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

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 21

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Observation e96330e5-cbf0-4c07-b9e9-957de476c346 · outbound

This paper cites OMG-Seg: Is One Model Good Enough For All Segmentation?.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance OMG-Seg: Is One Model Good Enough For All Segmentation?

Reference 22

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Observation 6c3b72e5-80cd-47c4-ade6-52e4b22c0a6a · outbound

This paper cites Evaluating object hallucination in large vision-language models.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Evaluating object hallucination in large vision-language models

Reference 23

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Observation c1effccf-7352-46f9-ac3a-7c10cf449f54 · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 24

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Observation 776f9d73-49bf-4390-8d13-8be844bf18ac · outbound

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

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Mon- key: Image resolution and text label are important things for large multi-modal models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:04.248510Z

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Observation 66c9b9c1-9e14-4c63-98cd-3117bb196e78 · outbound

This paper cites Gres: Gener- alized referring expression segmentation.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Gres: Gener- alized referring expression segmentation

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Observation 1309b116-be41-4492-8150-93af04f8a6ef · outbound

This paper cites Gres: Gen- eralized referring expression segmentation.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Gres: Gen- eralized referring expression segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:04.214525Z

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Observation 25cbb403-d745-40c7-9d46-33681c38d58f · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

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Observation 3a6f45e1-600a-4186-b0b4-b66d8c1959aa · outbound

This paper cites Visual instruction tuning.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Visual instruction tuning

Reference 29

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Observation b6798a7d-cf83-4917-bc88-4894cf994b78 · outbound

This paper cites LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Reference 30

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This paper cites TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document

Reference 31

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This paper cites Mmbench: Is your multi-modal model an all-around player? In European Conference on Computer Vision, pages 216–233.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Mmbench: Is your multi-modal model an all-around player? In European Conference on Computer Vision, pages 216–233

Reference 32

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Observation 4b577851-b868-4a87-a58d-e891afe63e52 · outbound

This paper cites InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language

Reference 33

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Observation 2e4a3485-1b56-4e99-860b-5402c90fa88f · outbound

This paper cites Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models

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Observation be5cb8d7-a020-43c8-a85c-1bb846236cd4 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 35

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Observation c64fb980-aa3b-45df-be78-a21e7f0a2fe3 · outbound

This paper cites Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 36

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This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Ok-vqa: A visual question answering benchmark requiring external knowledge

Reference 37

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Observation 5625cbc4-79a1-42c8-8255-c8f792690acb · outbound

This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 38

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Observation 446b98f5-a107-4b23-8d14-f98ce24d6a7b · outbound

This paper cites Mod- eling context between objects for referring expression under- standing.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Mod- eling context between objects for referring expression under- standing

Reference 39

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

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Kosmos-2: Grounding Multimodal Large Language Models to the World

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This paper cites CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning

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Observation 3ce61a4c-e2d4-4cfb-9076-cd599d3f71df · outbound

This paper cites Reasoning to attend: Try to understand how¡ seg¿ token works.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Reasoning to attend: Try to understand how¡ seg¿ token works

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:04.108283Z

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Observation f2eca709-119d-497e-88a1-f6efe28401e5 · outbound

This paper cites 10 Glamm: Pixel grounding large multimodal model.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance 10 Glamm: Pixel grounding large multimodal model

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:04.091454Z

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Observation 321b42bd-a7ad-405b-bdc7-4d7fd7a93ac3 · outbound

This paper cites Pixellm: Pixel reasoning with large multimodal model.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Pixellm: Pixel reasoning with large multimodal model

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:04.075155Z

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Observation ef42190d-5df3-4e58-8f53-d637060f1479 · outbound

This paper cites Object hallucination in image cap- tioning.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Object hallucination in image cap- tioning

Reference 45

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Observation 08f1824d-f5a8-4416-970e-15639a0b1d05 · outbound

This paper cites A-okvqa: A benchmark for visual question answering using world knowl- edge.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance A-okvqa: A benchmark for visual question answering using world knowl- edge

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:04.047364Z

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Observation 70e555ba-6fe2-4a70-b233-858ccd208a78 · outbound

This paper cites Tinylvlm-ehub: Towards com- prehensive and efficient evaluation for large vision-language models, 2024.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Tinylvlm-ehub: Towards com- prehensive and efficient evaluation for large vision-language models, 2024

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:04.027874Z

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Observation a1553ffa-e220-4930-84d1-3e7668aa78e4 · outbound

This paper cites Towards vqa models that can read.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Towards vqa models that can read

Reference 48

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Observation 951a132c-acf1-4cbd-b158-19561d0a73d8 · outbound

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

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Cambrian-1: A fully open, vision-centric explo- ration of multimodal llms

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.997513Z

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Observation 34dc3d2c-51ae-41a9-a577-67bf4810d1a9 · outbound

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

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

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Observation 1834aff1-5fff-49d6-8c83-2fbb9966a293 · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance CogVLM: Visual Expert for Pretrained Language Models

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Observation 6664a6e4-dea9-464e-bce3-8631bbe9691b · outbound

This paper cites Visionllm: Large language model is also an open- ended decoder for vision-centric tasks.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Visionllm: Large language model is also an open- ended decoder for vision-centric tasks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.980701Z

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This paper cites Hierar- chical open-vocabulary universal image segmentation.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Hierar- chical open-vocabulary universal image segmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.963856Z

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Observation a118ef6e-a4e0-4a5f-a839-c70b4d9bbcac · outbound

This paper cites SegLLM: Multi-round Reasoning Segmentation.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance SegLLM: Multi-round Reasoning Segmentation

Reference 54

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Observation 079b2c5b-371f-4f8f-8e52-c5cff871c6e6 · outbound

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LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance LaSagnA: Language-based Segmentation Assistant for Complex Queries

Reference 55

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Observation 0b659962-2df3-4eea-b750-fe0c9decdd8a · outbound

This paper cites General object foundation model for images and videos at scale.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance General object foundation model for images and videos at scale

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.946172Z

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Observation a8036437-e011-48ec-9078-abfa965eb13e · outbound

This paper cites VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks

Reference 57

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This paper cites V*: Guided visual search as a core mechanism in multimodal llms.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance V*: Guided visual search as a core mechanism in multimodal llms

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.929391Z

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Observation 30aae116-914d-4b0e-8ae2-252453f7df71 · outbound

This paper cites Gsva: Generalized segmentation via multimodal large language models.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Gsva: Generalized segmentation via multimodal large language models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.911800Z

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Observation 8a51f921-683d-4c95-aaa1-d22e69acf980 · outbound

This paper cites LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images

Reference 60

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Observation 991fa207-564b-42eb-b34a-12de5323ffce · outbound

This paper cites Qwen2 technical report, 2024.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Qwen2 technical report, 2024

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.894309Z

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Observation ae5f731d-8a5b-4e55-8359-535d567b62d7 · outbound

This paper cites LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:02.959690Z

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Observation 6b3102a1-ab8f-4168-8805-3f6862cb943c · outbound

This paper cites Ureader: Universal ocr-free visually-situated language understanding with multimodal large language model.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Ureader: Universal ocr-free visually-situated language understanding with multimodal large language model

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.876247Z

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Observation f156745b-ab03-44ca-becf-967ee861c55b · outbound

This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:02.971505Z

Source-reported events for the cited work

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Observation 2182922a-1b65-4d5c-8bf2-36da9a7155b1 · outbound

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

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:02.977524Z

Source-reported events for the cited work

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Observation 836ac2fe-de2b-4583-aa04-dd43e5df3ee7 · outbound

This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.857363Z

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Observation fe05fdce-4e5e-4b39-bd41-193b88ab0b47 · outbound

This paper cites Ferret: Refer and ground anything anywhere at any granularity.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Ferret: Refer and ground anything anywhere at any granularity

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.839191Z

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Observation 19788345-0a4a-453f-8243-d4300b29a1ec · outbound

This paper cites Modeling context in referring expres- sions.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Modeling context in referring expres- sions

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.822751Z

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Observation b9a6494e-4048-411a-9dcd-9946a68d8d5b · outbound

This paper cites InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:03.005676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa0bda23-d1d4-4f18-ab4c-7c1957fad63b · outbound

This paper cites GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:03.012476Z

Source-reported events for the cited work

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Observation 5faef72c-b81c-4aea-8c07-04ecd20f71e1 · outbound

This paper cites Omg-llava: Bridging image-level, object-level, pixel-level reasoning and understanding.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Omg-llava: Bridging image-level, object-level, pixel-level reasoning and understanding

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.805984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d06d3946-b1e1-46c6-82e1-dcc182433d74 · outbound

This paper cites Psalm: Pixelwise segmentation with large multi-modal model.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Psalm: Pixelwise segmentation with large multi-modal model

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.787981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 068d6238-60ab-4185-b6b0-29f180f24a04 · outbound

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

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:03.032130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffabad69-66d6-401c-9b0b-cfdb05f446f3 · outbound

This paper cites When the provided information is insufficient, respond with ‘Unanswerable,’.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance When the provided information is insufficient, respond with ‘Unanswerable,’

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:03.769446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fd18e0b8-357d-4092-a28a-536a65f6a9a0 · outbound

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LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance Unresolved cited work

Reference 251

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T19:25:04.323807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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