CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds | Paper Citation Record

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This paper cites write newline.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds write newline

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

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Cont: Contrastive neural text generation

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This paper cites Scanqa: 3d question answering for spatial scene understanding.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Scanqa: 3d question answering for spatial scene understanding

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

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This paper cites and Lavie, A.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds and Lavie, A

Reference 6

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Grit-vlp: Grouped mini-batch sampling for efficient vision and language pre-training

Reference 7

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This paper cites 3djcg: A unified framework for joint dense captioning and visual grounding on 3d point clouds.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds 3djcg: A unified framework for joint dense captioning and visual grounding on 3d point clouds

Reference 8

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Honeybee: Locality-enhanced projector for multimodal llm

Reference 9

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds ShapeNet: An Information-Rich 3D Model Repository

Reference 10

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This paper cites Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection

Reference 11

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This paper cites Language conditioned spatial relation reasoning for 3d object grounding.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Language conditioned spatial relation reasoning for 3d object grounding

Reference 12

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds End-to-end 3d dense captioning with vote2cap-detr

Reference 13

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Ll3da: Visual interactive instruction tuning for omni-3d understanding reasoning and planning

Reference 14

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

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This paper cites X., Savva, M., Halber, M., Funkhouser, T., and Nie ner, M.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds X., Savva, M., Halber, M., Funkhouser, T., and Nie ner, M

Reference 16

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Objaverse: A universe of annotated 3d objects

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds The Llama 3 Herd of Models

Reference 18

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This paper cites Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning

Reference 19

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Detecting and preventing hallucinations in large vision language models

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This paper cites Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Gaussian Error Linear Units (GELUs)

Reference 22

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds ORPO: Monolithic Preference Optimization without Reference Model

Reference 23

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds 3d-llm: Injecting the 3d world into large language models

Reference 24

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers

Reference 25

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds An embodied generalist agent in 3d world

Reference 26

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds ContraCLM: Contrastive Learning For Causal Language Model

Reference 27

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Bootstrapping vision-language learning with decoupled language pre-training

Reference 28

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Mistral 7B

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds L., Bansal, M., and Liu, J

Reference 30

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Rouge: A package for automatic evaluation of summaries

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds BRIO: Bringing Order to Abstractive Summarization

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Scalable 3d captioning with pretrained models

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds SQA3D: Situated Question Answering in 3D Scenes

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Unresolved cited work

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Bleu: a method for automatic evaluation of machine translation

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Advances and perspectives in collaborative robotics: a review of key technologies and emerging trends

Reference 41

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Gpt4point: A unified framework for point-language understanding and generation

Reference 42

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Contrastive Learning with Hard Negative Samples

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Language-grounded indoor 3d semantic segmentation in the wild

Reference 46

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment

Reference 47

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds and Koustoumpardis, P

Reference 48

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Gemma: Open Models Based on Gemini Research and Technology

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Llama 2: Open Foundation and Fine-Tuned Chat Models

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds N., Kaiser, ., and Polosukhin, I

Reference 51

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CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Cider: Consensus-based image description evaluation

Reference 52

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Observation ffedf3cc-2089-4b54-bbf4-ba1ef83e7434 · outbound

This paper cites Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.520318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e08e82a-1f50-4ed4-9adc-c01f18a53f3b · outbound

This paper cites PointLLM: Empowering Large Language Models to Understand Point Clouds.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.526667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c7ee131-1dec-4813-9179-a90a076da1d4 · outbound

This paper cites Contrastive Instruction Tuning.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Contrastive Instruction Tuning

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:48:28.094689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ba4c14e4-3ec0-4d57-bf35-ae7e34aae2ce · outbound

This paper cites 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.536522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db07c3f3-5494-432e-ac24-3b5949de8334 · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Point-bert: Pre-training 3d point cloud transformers with masked point modeling

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:28.727456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b9ef01a3-a29c-4a5e-9094-8278d42682ff · outbound

This paper cites Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.570775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a483eb4-e3cf-4bbd-a352-220337543f0c · outbound

This paper cites Click: Controllable text generation with sequence likelihood contrastive learning.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Click: Controllable text generation with sequence likelihood contrastive learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:28.711424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dafc9267-fc16-4791-b6cb-f08ed2f099e4 · outbound

This paper cites Lima: Less is more for alignment.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Lima: Less is more for alignment

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:28.694638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e06730dc-7927-4c02-9466-83cc0853dad0 · outbound

This paper cites Uni3d: Exploring unified 3d representation at scale.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Uni3d: Exploring unified 3d representation at scale

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:48:28.678174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1e48be94-5faf-4e68-b0cf-6d361b8977aa · outbound

This paper cites 3d-vista: Pre-trained transformer for 3d vision and text alignment.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds 3d-vista: Pre-trained transformer for 3d vision and text alignment

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:27.991615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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