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Paper Citation Record · LEDGER

Group Preference Collapse in Personalized Multimodal Large Language Models

As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.22603.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.22603 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:29:31.841667Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 363e0488-88ba-4a9a-9cb9-cd71218e647d · outbound

This paper cites MyVLM: Personalizing VLMs for user-specific queries.

Group Preference Collapse in Personalized Multimodal Large Language Models MyVLM: Personalizing VLMs for user-specific queries

Reference 1

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source=pdf_text observed=2026-08-02T11:29:27.353508Z digest=sha256:a63862e9e7f88e64bbfdfcb992176323cb3b05bd46c032df1f3efb3d470631e2

Observation 43a134b4-7f1a-444b-b8fe-c7465263b9dd · outbound

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

Group Preference Collapse in Personalized Multimodal Large Language Models Flamingo: A visual language model for few-shot learning

Reference 2

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source=pdf_text observed=2026-08-02T11:29:27.441909Z digest=sha256:0ab8b2208bee97ba3023299ee11f2d21cf4dbca9b930a4d2fcb2434686efae72

Observation 78144ef0-a5b9-4694-a795-1c18bdc66773 · outbound

This paper cites MC-LLaV A: Multi-concept personalized vision-language model.arXiv preprint arXiv:2411.11706, 2024.

Group Preference Collapse in Personalized Multimodal Large Language Models MC-LLaV A: Multi-concept personalized vision-language model.arXiv preprint arXiv:2411.11706, 2024

Reference 3

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source=pdf_text observed=2026-08-02T11:29:27.519353Z digest=sha256:218f8f6c077608c4aaeabcaa0a7344769ef4de5b93a5e79c5d1fa2c2c69087e5

Observation 0e98eb5a-903d-419d-97c7-3862225788a5 · outbound

This paper cites Lawrence Zitnick, and Devi Parikh.

Group Preference Collapse in Personalized Multimodal Large Language Models Lawrence Zitnick, and Devi Parikh

Reference 4

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source=pdf_text observed=2026-08-02T11:29:27.641190Z digest=sha256:a0671b09e242d5104b31154fb7d6f2769b3a64d29dfa446cb3058306e6b45dbd

Observation 7863a6fb-82c8-4bba-ae80-86b4736818b8 · outbound

This paper cites Online-PVLM: Advancing personalized VLMs with online concept learning.arXiv preprint arXiv:2511.20056, 2025.

Group Preference Collapse in Personalized Multimodal Large Language Models Online-PVLM: Advancing personalized VLMs with online concept learning.arXiv preprint arXiv:2511.20056, 2025

Reference 5

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source=pdf_text observed=2026-08-02T11:29:27.699688Z digest=sha256:46579e83f6dc842348cedfe99a0af17509e95a86b5c12870b579713774c35eee

Observation 29abe976-79dd-4676-afc9-8672c49a0ae6 · outbound

This paper cites Qwen2.5-VL Technical Report.

Group Preference Collapse in Personalized Multimodal Large Language Models Qwen2.5-VL Technical Report

Reference 6

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source=pdf_text observed=2026-08-02T11:29:27.786564Z digest=sha256:7d93101a69a93a7294cad756cfb6950cff377564a8f326fe923eb08f188900f4

Observation d56df7ed-2bc8-488c-86cf-91e247800efc · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Group Preference Collapse in Personalized Multimodal Large Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 7

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source=pdf_text observed=2026-08-02T11:29:27.868074Z digest=sha256:13c6812aaf2d68bb5f7def7fd2d2914b9496a1b859061e6f13b088935b46598a

Observation 5b0b8618-0761-4c4a-be80-df01c43443af · outbound

This paper cites an unresolved cited work.

Group Preference Collapse in Personalized Multimodal Large Language Models Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-02T11:29:27.953076Z digest=sha256:87164c85c2a865db2f78a04447e0a002f51247b32f4315297c43c44cd764e9e9

Observation 0a4116ea-0937-48f4-9762-b9754fcacc1d · outbound

This paper cites Speaker role contextual modeling for language understanding and dialogue policy learning.

Group Preference Collapse in Personalized Multimodal Large Language Models Speaker role contextual modeling for language understanding and dialogue policy learning

Reference 9

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source=pdf_text observed=2026-08-02T11:29:28.016659Z digest=sha256:9ef5f69d9fdc61e602d0c84720aac18bc292d2d8eaa094cd6545f73dab4b4dc2

Observation 51ef6f20-71bb-4761-aa06-901e6cbb650f · outbound

This paper cites Christiano, Jan Leike, Tom B.

Group Preference Collapse in Personalized Multimodal Large Language Models Christiano, Jan Leike, Tom B

Reference 10

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source=pdf_text observed=2026-08-02T11:29:28.076588Z digest=sha256:a04964a9270af67953f0ff5c91443e0a6cd06c66b4f021be44dbca2bccfc3ced

Observation 8851a29c-cd67-4af0-bf4b-1c99e2e17d1e · outbound

This paper cites this is my unicorn, fluffy.

Group Preference Collapse in Personalized Multimodal Large Language Models this is my unicorn, fluffy

Reference 11

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source=pdf_text observed=2026-08-02T11:29:28.147776Z digest=sha256:65f9d22c233e17f1fc728ddbf8cb74e234600e12e16f3ecc30637b6017a0212d

Observation 9629b677-6294-4262-aebc-7245076eef47 · outbound

This paper cites Class-balanced loss based on effective number of samples.

Group Preference Collapse in Personalized Multimodal Large Language Models Class-balanced loss based on effective number of samples

Reference 12

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source=pdf_text observed=2026-08-02T11:29:28.209573Z digest=sha256:cf742084eae4017ce1fbb0c5c9deea4fd654534e722b11367f410ce689cad948

Observation 930c72dd-678f-4a5c-9b66-223c6bc350e5 · outbound

This paper cites an unresolved cited work.

Group Preference Collapse in Personalized Multimodal Large Language Models Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-02T11:29:28.274517Z digest=sha256:d9f28d3a63cab11af95a36f20364c864f0eda15f56e28c02a037f6482151f024

Observation 0bcbc6ee-1648-4700-8def-09cfd2a47d8d · outbound

This paper cites KTO: Model alignment as prospect theoretic optimization.

Group Preference Collapse in Personalized Multimodal Large Language Models KTO: Model alignment as prospect theoretic optimization

Reference 14

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source=pdf_text observed=2026-08-02T11:29:28.314366Z digest=sha256:4d4209321a6e38aec5fbbfb91f8a344421d47398d8d42f5c2238b63357916f1e

Observation 833661c4-34e7-4c92-a322-91656644ceca · outbound

This paper cites Guided mllm reasoning: Enhancing mllm with knowledge and visual notes for visual question answering.

Group Preference Collapse in Personalized Multimodal Large Language Models Guided mllm reasoning: Enhancing mllm with knowledge and visual notes for visual question answering

Reference 15

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source=pdf_text observed=2026-08-02T11:29:28.397529Z digest=sha256:33d36e78e3a9b3834c92d8cd5d75c9a39d9d7d1460a4e01326742f386ab77b72

Observation ea7f695c-d585-4080-a93e-376b029f9da9 · outbound

This paper cites Procaccia, Itai Shapira, Yevgeniy V orobeychik, and Junlin Wu.

Group Preference Collapse in Personalized Multimodal Large Language Models Procaccia, Itai Shapira, Yevgeniy V orobeychik, and Junlin Wu

Reference 16

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source=pdf_text observed=2026-08-02T11:29:28.469844Z digest=sha256:4723565c99ec79d1d953f4b1c09368d675db19cb457ae4a335011aea6b0d0758

Observation b8968fec-1dcb-4747-bdbd-4c915a244434 · outbound

This paper cites Bradley Knox, and Dorsa Sadigh.

Group Preference Collapse in Personalized Multimodal Large Language Models Bradley Knox, and Dorsa Sadigh

Reference 17

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source=pdf_text observed=2026-08-02T11:29:28.578195Z digest=sha256:caed47a7898310334d5267cf45ab2bed49770c00ec2812acd8c90b8fd55281be

Observation 02a61bd7-3640-4527-9d4c-168c5a27bc7b · outbound

This paper cites Boosting mllm reasoning with text-debiased hint-grpo.

Group Preference Collapse in Personalized Multimodal Large Language Models Boosting mllm reasoning with text-debiased hint-grpo

Reference 18

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source=pdf_text observed=2026-08-02T11:29:28.671554Z digest=sha256:7125dc665a9359991072d3c22382fc7ca8d0a33831bc900e06ae643a1074756e

Observation 7b50b629-b8db-45a0-94a0-b994a0d1d5d3 · outbound

This paper cites MMPB: It’s time for multi-modal personalization.

Group Preference Collapse in Personalized Multimodal Large Language Models MMPB: It’s time for multi-modal personalization

Reference 19

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source=pdf_text observed=2026-08-02T11:29:28.783159Z digest=sha256:d3465ea065ae58fe6760bdd0e26917ac10e4c3953a90aff94183c59bb9baf736

Observation 77cea277-5c91-42d2-abf5-8a56d0f6d622 · outbound

This paper cites LLaV A-OneVision: Easy visual task transfer.

Group Preference Collapse in Personalized Multimodal Large Language Models LLaV A-OneVision: Easy visual task transfer

Reference 20

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source=pdf_text observed=2026-08-02T11:29:28.874961Z digest=sha256:f182c539004f2d3fb46fd2d4bfa29c0fe7847dbef45f0d352bc6efdbb579c692

Observation fa0cdbf3-5fce-4603-af8e-e725799605f8 · outbound

This paper cites Spithourakis, Jianfeng Gao, and Bill Dolan.

Group Preference Collapse in Personalized Multimodal Large Language Models Spithourakis, Jianfeng Gao, and Bill Dolan

Reference 21

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source=pdf_text observed=2026-08-02T11:29:28.958077Z digest=sha256:4e713454cc15b8f6fccc94cea62761184145d97b5d31539941b1c207f27aecc3

Observation 677e4935-7773-4d42-8048-0b739bc0a63d · outbound

This paper cites an unresolved cited work.

Group Preference Collapse in Personalized Multimodal Large Language Models Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-02T11:29:29.073379Z digest=sha256:1df1032004d7a63cdf23867d9dd825b2819bf58773492dba8b2fab1df6f722a6

Observation 2d7753f2-fd46-4f6c-a6d5-04b682a174bb · outbound

This paper cites MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering.

Group Preference Collapse in Personalized Multimodal Large Language Models MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering

Reference 23

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source=pdf_text observed=2026-08-02T11:29:29.185783Z digest=sha256:dfdfbd1c3a704516daa407d4bb12c3da1c8efdfc73ee58146f6f93be0a4ced02

Observation d22434fb-5c1a-4019-b7a2-451c29e6fff0 · outbound

This paper cites Focal loss for dense object detection.

Group Preference Collapse in Personalized Multimodal Large Language Models Focal loss for dense object detection

Reference 24

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source=pdf_text observed=2026-08-02T11:29:29.274038Z digest=sha256:bf3ebed69f059d5708bf636bae18acf9df021381f78b3535e80aff9679d563fb

Observation 6b5a2fd8-263d-4087-9c4d-058ea0f03ba0 · outbound

This paper cites Improved baselines with visual instruction tuning.

Group Preference Collapse in Personalized Multimodal Large Language Models Improved baselines with visual instruction tuning

Reference 25

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source=pdf_text observed=2026-08-02T11:29:29.395102Z digest=sha256:069eab7ff6d69532623c93967eb198b9509ba588c4c5b939edc6ab57e4fa5dbf

Observation d9ef3d90-3050-4e3e-923a-8f5f3507dd7b · outbound

This paper cites LLaV A-NeXT: Improved reasoning, OCR, and world knowledge.

Group Preference Collapse in Personalized Multimodal Large Language Models LLaV A-NeXT: Improved reasoning, OCR, and world knowledge

Reference 26

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source=pdf_text observed=2026-08-02T11:29:29.540632Z digest=sha256:fed26950e33b1bef83e487f94926df943b7536ec7475cca8ff87e797cdb8a209

Observation 3194a284-77f0-4a1a-bb43-6853e2f80fa1 · outbound

This paper cites Decoupled weight decay regularization.

Group Preference Collapse in Personalized Multimodal Large Language Models Decoupled weight decay regularization

Reference 27

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source=pdf_text observed=2026-08-02T11:29:29.688453Z digest=sha256:76add974a6fd44ab60be2cf4d48eda76eb00bcd80387b2f7320128a0f7d8ebcb

Observation 2171b9af-de4f-49da-876a-accb3fa5fa32 · outbound

This paper cites Yo’LLaV A: Your personalized language and vision assistant.

Group Preference Collapse in Personalized Multimodal Large Language Models Yo’LLaV A: Your personalized language and vision assistant

Reference 28

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source=pdf_text observed=2026-08-02T11:29:29.805566Z digest=sha256:18f421d4ffd79f51a32ac486bac08c215bc22b23e51f3b76a0cd30b7015adcdd

Observation 1a00f296-aa4e-4f3f-9de8-5349f83b454b · outbound

This paper cites Yo’Chameleon: Personalized vision and language generation.

Group Preference Collapse in Personalized Multimodal Large Language Models Yo’Chameleon: Personalized vision and language generation

Reference 29

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source=pdf_text observed=2026-08-02T11:29:29.920049Z digest=sha256:f3c5f33a2e4cf11fe86a6b9ba2ccc3383e97716af2339d62d45e70c3c61bcc27

Observation 3f5cfd40-4b7f-4ac8-aefb-31a92432182b · outbound

This paper cites Christiano, Jan Leike, and Ryan Lowe.

Group Preference Collapse in Personalized Multimodal Large Language Models Christiano, Jan Leike, and Ryan Lowe

Reference 30

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source=pdf_text observed=2026-08-02T11:29:30.087271Z digest=sha256:6d8e840c9a6cad556068d9f8b73a363507af983eb938ed146034c2537e38fce2

Observation 3e80df0f-b8b8-444e-a6da-77c5c8cc388c · outbound

This paper cites PLVM: A tuning-free approach for personalized large vision-language model.

Group Preference Collapse in Personalized Multimodal Large Language Models PLVM: A tuning-free approach for personalized large vision-language model

Reference 31

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source=pdf_text observed=2026-08-02T11:29:30.185345Z digest=sha256:d5389734bdf63762bce6330f9522087b7ddebfd9613458224179e508bc3a4543

Observation 78509c1a-264a-4fac-a9bd-e39b72227eb7 · outbound

This paper cites Personalized visual instruction tuning.

Group Preference Collapse in Personalized Multimodal Large Language Models Personalized visual instruction tuning

Reference 32

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source=pdf_text observed=2026-08-02T11:29:30.246992Z digest=sha256:94d8ffc5480aa9e84b2e03de08808c6997f64a28a772ac3a8d3d8fd4d0aaec4e

Observation 98c2e0fa-172d-4996-920d-5f13ff6a81d5 · outbound

This paper cites Manning, and Chelsea Finn.

Group Preference Collapse in Personalized Multimodal Large Language Models Manning, and Chelsea Finn

Reference 33

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source=pdf_text observed=2026-08-02T11:29:30.351233Z digest=sha256:14c4ccb7302c770a469137ab21bbbf1da51f3850621c7c95b533899bd0b5515d

Observation d96c0728-e52c-411b-ad47-6f5f0707fc4c · outbound

This paper cites BPR: Bayesian personalized ranking from implicit feedback.

Group Preference Collapse in Personalized Multimodal Large Language Models BPR: Bayesian personalized ranking from implicit feedback

Reference 34

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source=pdf_text observed=2026-08-02T11:29:30.478137Z digest=sha256:fc7e3816d003773e00697e5bd9f9b38f1617e8d2c549aa8f01f564063abda46c

Observation 8ccddb4b-deaa-467d-bce7-7b6c017a452f · outbound

This paper cites Personalization toolkit: Training free personalization of large vision language models.TMLR, 2026.

Group Preference Collapse in Personalized Multimodal Large Language Models Personalization toolkit: Training free personalization of large vision language models.TMLR, 2026

Reference 35

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source=pdf_text observed=2026-08-02T11:29:30.606713Z digest=sha256:32d0817b459e99d739b5af9926a89e126d1060146f948a338a45c1a68820bdfd

Observation 811055b7-4aae-476b-8045-dbe863f48d54 · outbound

This paper cites Towards dynamic modality alignment in multimodal continual learning.

Group Preference Collapse in Personalized Multimodal Large Language Models Towards dynamic modality alignment in multimodal continual learning

Reference 36

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source=pdf_text observed=2026-08-02T11:29:30.727186Z digest=sha256:bac9bf8ba00a956922debe92724e585da3e2c894d06e1b06463fa8a92519f7ee

Observation a41217e9-da63-49e8-a298-9575774b35a2 · outbound

This paper cites Visual position prompt for MLLM based visual grounding.IEEE TMM, 2026.

Group Preference Collapse in Personalized Multimodal Large Language Models Visual position prompt for MLLM based visual grounding.IEEE TMM, 2026

Reference 37

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source=pdf_text observed=2026-08-02T11:29:30.850448Z digest=sha256:7a9b49bbe1b094a911b42605e2720bb749d0d5bbd5a07ab7bb1a89acda43e752

Observation 686f50fd-f0aa-4ee9-a342-0b093bc58035 · outbound

This paper cites Partition-then-adapt: Combating prediction bias for reliable multi-modal test-time adaptation.

Group Preference Collapse in Personalized Multimodal Large Language Models Partition-then-adapt: Combating prediction bias for reliable multi-modal test-time adaptation

Reference 38

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source=pdf_text observed=2026-08-02T11:29:31.023823Z digest=sha256:22e9057399808897d80324bb2238e7c961100a6e79d0540e2757da59d80a9dce

Observation 0132162d-3666-4ffa-96e8-0b041d7a0f86 · outbound

This paper cites Marten: Visual question answering with mask generation for multi-modal document understanding.

Group Preference Collapse in Personalized Multimodal Large Language Models Marten: Visual question answering with mask generation for multi-modal document understanding

Reference 39

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source=pdf_text observed=2026-08-02T11:29:31.131329Z digest=sha256:3fb9aef5a6ce5a158def59a5ae24c4cedf84e0e502589dd3907b7dba9d9b1ad5

Observation 9809e8c4-2c23-4d3d-8d2f-2daad1efc998 · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

Group Preference Collapse in Personalized Multimodal Large Language Models DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 40

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source=pdf_text observed=2026-08-02T11:29:31.278555Z digest=sha256:b4d35ecb1c5e95953ed136c5bc530fe358b086ccc1a59fcf26271e61e6e8649a

Observation 2eadb0ca-9e5c-4e28-aedf-a6ad56ba91df · outbound

This paper cites TG-LLaV A: Text guided LLaV A via learnable latent embeddings.Proceedings of the AAAI Conference on Artificial Intelligence, 39(9):9076–9084, 2025.

Group Preference Collapse in Personalized Multimodal Large Language Models TG-LLaV A: Text guided LLaV A via learnable latent embeddings.Proceedings of the AAAI Conference on Artificial Intelligence, 39(9):9076–9084, 2025

Reference 41

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source=pdf_text observed=2026-08-02T11:29:31.350954Z digest=sha256:e9af563f05e16cebeea39d6b2af4525c6de76634aec6542b5766691d27a2cd8a

Observation 0ca8e6a6-e537-4203-bdc5-b626124dcde0 · outbound

This paper cites Meta- personalizing vision-language models to find named instances in video.

Group Preference Collapse in Personalized Multimodal Large Language Models Meta- personalizing vision-language models to find named instances in video

Reference 42

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source=pdf_text observed=2026-08-02T11:29:31.455526Z digest=sha256:0b62279f1e6b5243c060b63b5b9448c00cab6b8055c804f2a4350d9034aad6f1

Observation dcede9f4-2d0d-484c-8392-5dca61bcd509 · outbound

This paper cites Personalizing dialogue agents: I have a dog, do you have pets too? InACL, pages 2204–2213, 2018.

Group Preference Collapse in Personalized Multimodal Large Language Models Personalizing dialogue agents: I have a dog, do you have pets too? InACL, pages 2204–2213, 2018

Reference 43

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source=pdf_text observed=2026-08-02T11:29:31.530514Z digest=sha256:f4f1a486af89357e4af294355c30ecaebb281d3744f2bb16ff15f19f3b76478f

Observation bc6f8f27-b50b-4bdf-9e7f-d84082a97c5f · outbound

This paper cites LOV A3: Learning to visual question answering, asking and assessment.

Group Preference Collapse in Personalized Multimodal Large Language Models LOV A3: Learning to visual question answering, asking and assessment

Reference 44

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source=pdf_text observed=2026-08-02T11:29:31.623035Z digest=sha256:0b505fa10184231f1ec38e001afe20d6f8a79fb55a0efad3a9ca7295aaf67296

Observation e5e39ca2-5bdd-4e1e-8159-6dcc334e33db · outbound

This paper cites MiniGPT-4: Enhancing vision-language understanding with advanced large language models.

Group Preference Collapse in Personalized Multimodal Large Language Models MiniGPT-4: Enhancing vision-language understanding with advanced large language models

Reference 45

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source=pdf_text observed=2026-08-02T11:29:31.754112Z digest=sha256:fadcfc998a69bc0801b296f987dde69569fe5eb6070fb0f1d0aa03123ab1a89f

Observation efaa057c-a97f-479a-8902-e032e6d6896a · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Group Preference Collapse in Personalized Multimodal Large Language Models Fine-Tuning Language Models from Human Preferences

Reference 46

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source=pdf_text observed=2026-08-02T11:29:31.841667Z digest=sha256:b6af3b502f7a69fbc97a8202b31ff42f9d6226e495ffc3205f1f1dc84988c95a

Pith citing papers

No inbound Pith citation observations are available.