Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking | Paper Citation Record

Observation a8b3627c-88c6-4762-9d1d-b6980f7ba249 · outbound

This paper cites Grounding language models to images for multimodal inputs and outputs,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Grounding language models to images for multimodal inputs and outputs,

Reference 1

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Observation 34fb1541-20be-44cf-9e30-fe2173d468fb · outbound

This paper cites Harnessing multi-modal large language models for measuring and interpreting color differences,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Harnessing multi-modal large language models for measuring and interpreting color differences,

Reference 2

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This paper cites 3vl: Using trees to improve vision-language models’ interpretability,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking 3vl: Using trees to improve vision-language models’ interpretability,

Reference 3

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This paper cites Timechat: A time-sensitive multimodal large language model for long video understanding,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Timechat: A time-sensitive multimodal large language model for long video understanding,

Reference 4

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This paper cites Who, what and where: Composite-semantics instance search for story videos,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Who, what and where: Composite-semantics instance search for story videos,

Reference 5

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Observation 37ef8cd2-dd4e-4e4a-8328-361fc979194c · outbound

This paper cites Exploring language hierarchy for video grounding,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Exploring language hierarchy for video grounding,

Reference 6

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Observation ebbac2db-1188-45b3-8baf-01a70e9ec4dd · outbound

This paper cites Adaptive spatio- temporal graph enhanced vision-language representation for video qa,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Adaptive spatio- temporal graph enhanced vision-language representation for video qa,

Reference 7

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Observation 1b457a58-b9ae-41d7-981f-999f974956ae · outbound

This paper cites mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 8

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Observation d40b7757-eb2b-4bda-a045-1ef96cc88d92 · outbound

This paper cites (2024) Hello gpt-4o.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking (2024) Hello gpt-4o

Reference 9

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Observation 232a566b-4aac-48b3-87f6-bbe0d0014d31 · outbound

This paper cites GPT-Driver: Learning to Drive with GPT.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking GPT-Driver: Learning to Drive with GPT

Reference 10

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This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Drivegpt4: Interpretable end-to-end autonomous driving via large language model,

Reference 11

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Observation 0eaff5e0-3299-4960-b2b8-eab6c88219d4 · outbound

This paper cites VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes

Reference 12

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This paper cites Langloc: Language-driven localization via formatted spatial description genera- tion,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Langloc: Language-driven localization via formatted spatial description genera- tion,

Reference 13

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Observation 15f3a64d-6f05-45a2-b8ba-1a8f98430e2c · outbound

This paper cites MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices

Reference 14

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This paper cites Trafficvlm: A controllable visual language model for traffic video captioning,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Trafficvlm: A controllable visual language model for traffic video captioning,

Reference 15

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Observation 1593e766-91e6-4648-9c6d-3ee1a24a3155 · outbound

This paper cites Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays

Reference 16

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Observation 8f4e9953-c77b-4c0a-8e50-446a82309b2f · outbound

This paper cites Physically grounded vision-language models for robotic manipulation,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Physically grounded vision-language models for robotic manipulation,

Reference 17

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Observation 331daaf8-c9f6-4a17-bcdd-dc080a59cf89 · outbound

This paper cites Rekep: Spatio-temporal reasoning of relational keypoint constraints for robotic manipulation,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Rekep: Spatio-temporal reasoning of relational keypoint constraints for robotic manipulation,

Reference 18

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Observation 8565937f-d623-4d14-a8b7-02b0711b903a · outbound

This paper cites Aha: A vision-language- model for detecting and reasoning over failures in robotic manipulation,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Aha: A vision-language- model for detecting and reasoning over failures in robotic manipulation,

Reference 19

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This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 20

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This paper cites A3VLM: Actionable Articulation-Aware Vision Language Model.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking A3VLM: Actionable Articulation-Aware Vision Language Model

Reference 21

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This paper cites (2024) Internvl2: Better than the best—expanding performance boundaries of open-source multimodal models with the progressive scaling strategy.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking (2024) Internvl2: Better than the best—expanding performance boundaries of open-source multimodal models with the progressive scaling strategy

Reference 22

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Observation 2a98c0c7-f0df-4744-8d4c-1d736d6dbbae · outbound

This paper cites SpatialBot: Precise Spatial Understanding with Vision Language Models.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking SpatialBot: Precise Spatial Understanding with Vision Language Models

Reference 23

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This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving,

Reference 24

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This paper cites Onellm: One framework to align all modalities with language,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Onellm: One framework to align all modalities with language,

Reference 25

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This paper cites XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models

Reference 26

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This paper cites LLMs Can Evolve Continually on Modality for X-Modal Reasoning.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking LLMs Can Evolve Continually on Modality for X-Modal Reasoning

Reference 27

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Visual instruction tuning,

Reference 28

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Llava-next: Improved reasoning, ocr, and world knowledge,

Reference 29

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 30

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 31

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 32

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 33

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Imagebind: One embedding space to bind them all,

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking PandaGPT: One Model To Instruction-Follow Them All

Reference 35

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 36

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 37

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi,

Reference 38

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 39

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Q-bench ++: A benchmark for multi-modal foundation models on low-level vision from single images to pairs,

Reference 40

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Mmbench: Is your multi-modal model an all-around player?

Reference 41

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This paper cites The reviewing of object files: Object-specific integration of information,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking The reviewing of object files: Object-specific integration of information,

Reference 42

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Unresolved cited work

Reference 43

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Improved baselines with visual instruction tuning,

Reference 44

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Phantom of Latent for Large Language and Vision Models

Reference 45

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 46

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking (2024) Claude 3.5 sonnet

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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Prolific,

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This paper cites Rank analysis of incomplete block designs,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Rank analysis of incomplete block designs,

Reference 49

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This paper cites Direct preference optimization: Your language model is secretly a reward model,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Direct preference optimization: Your language model is secretly a reward model,

Reference 50

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This paper cites Facenet: A unified embedding for face recognition and clustering,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Facenet: A unified embedding for face recognition and clustering,

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This paper cites Target-aware dual adversarial learning and a multi-scenario multi- modality benchmark to fuse infrared and visible for object detection,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Target-aware dual adversarial learning and a multi-scenario multi- modality benchmark to fuse infrared and visible for object detection,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:57.200496Z

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Observation 827cef51-6cd5-4e73-a4c6-5581618800d3 · outbound

This paper cites thermal dogs and people x6ejw dataset,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking thermal dogs and people x6ejw dataset,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:57.160227Z

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Observation cb195b62-1dd8-49a4-9e2d-5f30423b4bdc · outbound

This paper cites pet dataset,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking pet dataset,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:57.122467Z

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This paper cites Thermal dataset,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Thermal dataset,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:57.085566Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites Hit-uav: A high-altitude infrared thermal dataset for unmanned aerial vehicle-based object detection,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Hit-uav: A high-altitude infrared thermal dataset for unmanned aerial vehicle-based object detection,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:57.031211Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites animal-detection-flir-extra dataset,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking animal-detection-flir-extra dataset,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:56.997919Z

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This paper cites chips-thermal-face-dataset,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking chips-thermal-face-dataset,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:56.910171Z

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This paper cites Available: https://universe.roboflow.com/one-rphct/animal detection flir extra.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Available: https://universe.roboflow.com/one-rphct/animal detection flir extra

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:56.950577Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7495a38f-2956-49d0-a2e0-08aa4fcb7e17 · outbound

This paper cites DIODE: A Dense Indoor and Outdoor DEpth Dataset.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking DIODE: A Dense Indoor and Outdoor DEpth Dataset

Reference 60

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This paper cites Ifsod dataset,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Ifsod dataset,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:56.876035Z

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This paper cites DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T23:16:55.307903Z

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This paper cites Indoor segmen- tation and support inference from rgbd images,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Indoor segmen- tation and support inference from rgbd images,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:56.837748Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites X-ray baggage detection dataset,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking X-ray baggage detection dataset,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:56.764582Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites Unifesp x-ray body part classifier compe- tition,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Unifesp x-ray body part classifier compe- tition,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:56.807204Z

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This paper cites Decoupled weight decay regularization,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Decoupled weight decay regularization,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T23:16:55.338072Z

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Unavailable: canonical work link unavailable.

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This paper cites Qlora: Efficient finetuning of quantized llms,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Qlora: Efficient finetuning of quantized llms,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T23:16:55.327101Z

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Unavailable: canonical work link unavailable.

Observation bfb8b9a2-dfad-482d-80c0-6fe951c4ab8f · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T23:16:55.365253Z

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Unavailable: canonical work link unavailable.

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This paper cites TE-SQ1 Thermal Camera,.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking TE-SQ1 Thermal Camera,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:56.667129Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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This paper cites A General Theoretical Paradigm to Understand Learning from Human Preferences.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking A General Theoretical Paradigm to Understand Learning from Human Preferences

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T23:16:55.356697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc74ea9-23cb-411f-8f15-356748985b2f · outbound

This paper cites Decoupled Weight Decay Regularization.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking Decoupled Weight Decay Regularization

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T23:16:55.350018Z

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Unavailable: canonical work link unavailable.

Observation 8b0f47f1-e734-49e7-9a52-9a4dd10329cd · outbound

This paper cites AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T23:16:54.983609Z

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Unavailable: canonical work link unavailable.

Observation 8d5cceea-2470-40a4-93a4-58f8a999e59d · outbound

This paper cites His research interests include deep learning and multimodal large language mod- els.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking His research interests include deep learning and multimodal large language mod- els

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:16:56.632139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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