Teaching VLMs to Localize Specific Objects from In-context Examples | Paper Citation Record

Observation 37ddf28d-cbe8-43cd-9fdf-5bf0c0da1bee · outbound

This paper cites Pixtral 12B.

Teaching VLMs to Localize Specific Objects from In-context Examples Pixtral 12B

Reference 1

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Observation 6a83b50c-0057-4a65-98c3-638a881f30a4 · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Teaching VLMs to Localize Specific Objects from In-context Examples Flamingo: a Visual Language Model for Few-Shot Learning

Reference 2

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Observation acb2a615-02de-4be6-8190-6425fbe40cbd · outbound

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

Teaching VLMs to Localize Specific Objects from In-context Examples Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

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Observation 7a938626-bc81-4701-9e58-4cf7c375e58d · outbound

This paper cites DeciMamba: Exploring the Length Extrapolation Potential of Mamba.

Teaching VLMs to Localize Specific Objects from In-context Examples DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 4

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This paper cites Lan- guage models are few-shot learners.

Teaching VLMs to Localize Specific Objects from In-context Examples Lan- guage models are few-shot learners

Reference 5

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Teaching VLMs to Localize Specific Objects from In-context Examples Unresolved cited work

Reference 6

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Observation a547f13d-6ce2-4733-aece-8b0ed6f60aee · outbound

This paper cites MiniGPT-v2: Large Language Model as a Unified Interface for Vision-Language Multi-task Learning.

Teaching VLMs to Localize Specific Objects from In-context Examples MiniGPT-v2: Large Language Model as a Unified Interface for Vision-Language Multi-task Learning

Reference 7

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

Teaching VLMs to Localize Specific Objects from In-context Examples 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 660e31e1-6833-46ff-aaaf-41de340fa4aa · outbound

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

Teaching VLMs to Localize Specific Objects from In-context Examples Gonzalez, Ion Stoica, and Eric P

Reference 9

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Observation 56991c9d-8caa-4af0-b942-95d8e8e38f2f · outbound

This paper cites InstructBLIP: Towards General-purpose Vision- Language Models with Instruction Tuning.

Teaching VLMs to Localize Specific Objects from In-context Examples InstructBLIP: Towards General-purpose Vision- Language Models with Instruction Tuning

Reference 10

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Observation fefc5034-5bc1-4149-a8c1-52a3968fae0d · outbound

This paper cites Tao: A large-scale bench- mark for tracking any object.

Teaching VLMs to Localize Specific Objects from In-context Examples Tao: A large-scale bench- mark for tracking any object

Reference 11

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Observation 72c2c290-9dbf-4842-897e-d2185b5ee624 · outbound

This paper cites Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models.

Teaching VLMs to Localize Specific Objects from In-context Examples Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models

Reference 12

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Observation aa7b3741-3448-489a-819e-b80b7ec9db98 · outbound

This paper cites Teaching structured vision & language concepts to vision & language models.

Teaching VLMs to Localize Specific Objects from In-context Examples Teaching structured vision & language concepts to vision & language models

Reference 13

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Observation f9cbc167-0a17-4e7e-8298-5527f44f95f3 · outbound

This paper cites Towards Multimodal In-Context Learning for Vision & Language Models.

Teaching VLMs to Localize Specific Objects from In-context Examples Towards Multimodal In-Context Learning for Vision & Language Models

Reference 14

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This paper cites The Llama 3 Herd of Models.

Teaching VLMs to Localize Specific Objects from In-context Examples The Llama 3 Herd of Models

Reference 15

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Observation 8c326ce3-f619-4baa-80a9-b62541567166 · outbound

This paper cites Lasot: A high-quality benchmark for large-scale single ob- ject tracking.

Teaching VLMs to Localize Specific Objects from In-context Examples Lasot: A high-quality benchmark for large-scale single ob- ject tracking

Reference 16

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This paper cites SEED: Self-supervised Dis- 9 tillation for Visual Representation.

Teaching VLMs to Localize Specific Objects from In-context Examples SEED: Self-supervised Dis- 9 tillation for Visual Representation

Reference 17

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Observation 3124bf49-f3ba-4c40-aa7a-62ec7484cc3f · outbound

This paper cites Cross-domain few-shot object detection via enhanced open-set object detector.

Teaching VLMs to Localize Specific Objects from In-context Examples Cross-domain few-shot object detection via enhanced open-set object detector

Reference 18

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Observation d571833c-e27a-4c74-b083-dcc1f19b7e47 · outbound

This paper cites Vision-Language Models Create Cross-Modal Task Representations.

Teaching VLMs to Localize Specific Objects from In-context Examples Vision-Language Models Create Cross-Modal Task Representations

Reference 19

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Observation f1cbd9f0-fa7b-4745-bc9c-bbb8d444ac47 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Teaching VLMs to Localize Specific Objects from In-context Examples LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

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Observation da2197ba-17e3-46ba-8e97-32736727f1de · outbound

This paper cites Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning.

Teaching VLMs to Localize Specific Objects from In-context Examples Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning

Reference 21

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This paper cites ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs.

Teaching VLMs to Localize Specific Objects from In-context Examples ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs

Reference 22

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This paper cites Got-10k: A large high-diversity benchmark for generic object tracking in the wild.

Teaching VLMs to Localize Specific Objects from In-context Examples Got-10k: A large high-diversity benchmark for generic object tracking in the wild

Reference 23

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Observation 33af747b-5247-4e84-8b00-3d5771dd7a2a · outbound

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

Teaching VLMs to Localize Specific Objects from In-context Examples Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 24

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Observation 94fe1d9f-b150-4776-acd0-b0a29c10cbf6 · outbound

This paper cites Le, Yunhsuan Sung, Zhen Li, and Tom Duerig.

Teaching VLMs to Localize Specific Objects from In-context Examples Le, Yunhsuan Sung, Zhen Li, and Tom Duerig

Reference 25

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Observation 35fc6464-8f6e-4c8d-bec8-7506fc282719 · outbound

This paper cites Improving Zero-Shot Models with Label Distribution Priors.

Teaching VLMs to Localize Specific Objects from In-context Examples Improving Zero-Shot Models with Label Distribution Priors

Reference 26

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This paper cites Building and better understanding vision- language models: insights and future directions., 2024.

Teaching VLMs to Localize Specific Objects from In-context Examples Building and better understanding vision- language models: insights and future directions., 2024

Reference 27

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Observation 01145f1d-b456-4daa-b31b-da539b857769 · outbound

This paper cites Rush, Douwe Kiela, Matthieu Cord, and Victor Sanh.

Teaching VLMs to Localize Specific Objects from In-context Examples Rush, Douwe Kiela, Matthieu Cord, and Victor Sanh

Reference 28

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This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Teaching VLMs to Localize Specific Objects from In-context Examples LLaVA-OneVision: Easy Visual Task Transfer

Reference 29

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This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Teaching VLMs to Localize Specific Objects from In-context Examples BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 30

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This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Teaching VLMs to Localize Specific Objects from In-context Examples Evaluating Object Hallucination in Large Vision-Language Models

Reference 31

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This paper cites Video-LLaV A: Learning united visual repre- sentation by alignment before projection.

Teaching VLMs to Localize Specific Objects from In-context Examples Video-LLaV A: Learning united visual repre- sentation by alignment before projection

Reference 32

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This paper cites Microsoft coco: Common objects in context.

Teaching VLMs to Localize Specific Objects from In-context Examples Microsoft coco: Common objects in context

Reference 33

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This paper cites MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge.

Teaching VLMs to Localize Specific Objects from In-context Examples MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge

Reference 34

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This paper cites LLaV A-NeXT: Improved reasoning, OCR, and world knowl- edge, 2023.

Teaching VLMs to Localize Specific Objects from In-context Examples LLaV A-NeXT: Improved reasoning, OCR, and world knowl- edge, 2023

Reference 35

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This paper cites Improved Baselines with Visual Instruction Tuning.

Teaching VLMs to Localize Specific Objects from In-context Examples Improved Baselines with Visual Instruction Tuning

Reference 36

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This paper cites Visual Instruction Tuning.

Teaching VLMs to Localize Specific Objects from In-context Examples Visual Instruction Tuning

Reference 37

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This paper cites MetaICL: Learning to Learn In Context.

Teaching VLMs to Localize Specific Objects from In-context Examples MetaICL: Learning to Learn In Context

Reference 38

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This paper cites Simple open-vocabulary object detection.

Teaching VLMs to Localize Specific Objects from In-context Examples Simple open-vocabulary object detection

Reference 39

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This paper cites Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, , Jakub Micorek, Mateusz Kozinski, Hilde Kuhene, and Horst Possegger.

Teaching VLMs to Localize Specific Objects from In-context Examples Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, , Jakub Micorek, Mateusz Kozinski, Hilde Kuhene, and Horst Possegger

Reference 40

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This paper cites TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification.

Teaching VLMs to Localize Specific Objects from In-context Examples TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification

Reference 41

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This paper cites LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections.

Teaching VLMs to Localize Specific Objects from In-context Examples LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections

Reference 42

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This paper cites GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models.

Teaching VLMs to Localize Specific Objects from In-context Examples GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models

Reference 43

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This paper cites GPT-4 Technical Report.

Teaching VLMs to Localize Specific Objects from In-context Examples GPT-4 Technical Report

Reference 44

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This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

Teaching VLMs to Localize Specific Objects from In-context Examples Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 45

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

Teaching VLMs to Localize Specific Objects from In-context Examples Learning Transferable Visual Models from Natural Language Supervision

Reference 46

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This paper cites Where’s waldo: Diffusion features for person- alized segmentation and retrieval.

Teaching VLMs to Localize Specific Objects from In-context Examples Where’s waldo: Diffusion features for person- alized segmentation and retrieval

Reference 47

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This paper cites LAION-5b: An open large-scale dataset for training next generation image-text models.

Teaching VLMs to Localize Specific Objects from In-context Examples LAION-5b: An open large-scale dataset for training next generation image-text models

Reference 48

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Observation ba8e2d6a-1097-4033-9fbb-5e5a2cc5a152 · outbound

This paper cites Generative Multimodal Models are In-Context Learners.

Teaching VLMs to Localize Specific Objects from In-context Examples Generative Multimodal Models are In-Context Learners

Reference 49

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

Teaching VLMs to Localize Specific Objects from In-context Examples Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 50

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This paper cites Frustratingly Simple Few-Shot Object Detection.

Teaching VLMs to Localize Specific Objects from In-context Examples Frustratingly Simple Few-Shot Object Detection

Reference 51

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This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Teaching VLMs to Localize Specific Objects from In-context Examples Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 52

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Observation 205c90c8-e051-41f4-845c-0666c1fb871c · outbound

This paper cites Larger language models do in-context learning differently.

Teaching VLMs to Localize Specific Objects from In-context Examples Larger language models do in-context learning differently

Reference 53

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This paper cites Demystify- ing CLIP Data.

Teaching VLMs to Localize Specific Objects from In-context Examples Demystify- ing CLIP Data

Reference 54

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This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Teaching VLMs to Localize Specific Objects from In-context Examples Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:39:41.160513Z

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This paper cites Sigmoid Loss for Language Image Pre- training.

Teaching VLMs to Localize Specific Objects from In-context Examples Sigmoid Loss for Language Image Pre- training

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:39:41.148368Z

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This paper cites Personalize Segment Anything Model with One Shot.

Teaching VLMs to Localize Specific Objects from In-context Examples Personalize Segment Anything Model with One Shot

Reference 57

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This paper cites MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning.

Teaching VLMs to Localize Specific Objects from In-context Examples MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T16:39:40.674841Z

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This paper cites Llamafac- tory: Unified efficient fine-tuning of 100+ language mod- els.

Teaching VLMs to Localize Specific Objects from In-context Examples Llamafac- tory: Unified efficient fine-tuning of 100+ language mod- els

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:39:41.134100Z

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

Teaching VLMs to Localize Specific Objects from In-context Examples MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:39:41.122145Z

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This paper cites <ref>category</ref>.

Teaching VLMs to Localize Specific Objects from In-context Examples <ref>category</ref>

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:39:41.109720Z

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