Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models | Paper Citation Record

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GR00T N1: An Open Foundation Model for Generalist Humanoid Robots cites this paper.

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 53

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SmolVLM: Redefining small and efficient multimodal models cites this paper.

SmolVLM: Redefining small and efficient multimodal models Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 22

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InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models cites this paper.

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 69

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FLARE: Robot Learning with Implicit World Modeling cites this paper.

FLARE: Robot Learning with Implicit World Modeling Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 17

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MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation cites this paper.

MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 21

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Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning cites this paper.

Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 28

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ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding cites this paper.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 16

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AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs cites this paper.

AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 44

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Bridging Perspectives: A Survey on Cross-view Collaborative Intelligence with Egocentric-Exocentric Vision cites this paper.

Bridging Perspectives: A Survey on Cross-view Collaborative Intelligence with Egocentric-Exocentric Vision Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 214

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Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models cites this paper.

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 25

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Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model cites this paper.

Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning cites this paper.

High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 18

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ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning cites this paper.

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 22

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FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model cites this paper.

FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 2019

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RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension cites this paper.

RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 18

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Adaptive Action Chunking at Inference-time for Vision-Language-Action Models cites this paper.

Adaptive Action Chunking at Inference-time for Vision-Language-Action Models Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 22

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MLLM-as-a-Judge Exhibits Model Preference Bias cites this paper.

MLLM-as-a-Judge Exhibits Model Preference Bias Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 31

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Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models cites this paper.

Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 27

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PLaMo 2.1-VL Technical Report cites this paper.

PLaMo 2.1-VL Technical Report Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 6

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EmbodiedMidtrain: Bridging the Gap between Vision-Language Models and Vision-Language-Action Models via Mid-training cites this paper.

EmbodiedMidtrain: Bridging the Gap between Vision-Language Models and Vision-Language-Action Models via Mid-training Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 13

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$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills cites this paper.

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 24

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$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills cites this paper.

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 21

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Being-H0.7: A Latent World-Action Model from Egocentric Videos cites this paper.

Being-H0.7: A Latent World-Action Model from Egocentric Videos Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 28

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Cambrian-P: Pose-Grounded Video Understanding cites this paper.

Cambrian-P: Pose-Grounded Video Understanding Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 52

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Cambrian-P: Pose-Grounded Video Understanding cites this paper.

Cambrian-P: Pose-Grounded Video Understanding Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 52

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Gaze2Act: Gaze-Conditioned Vision-Language-Action Policies for Interactive Robot Manipulation cites this paper.

Gaze2Act: Gaze-Conditioned Vision-Language-Action Policies for Interactive Robot Manipulation Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 6

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Argus-Retriever: Vision-LLM Late-Interaction Retrieval with Region-Aware Query-Conditioned MoE for Visual Document Retrieval cites this paper.

Argus-Retriever: Vision-LLM Late-Interaction Retrieval with Region-Aware Query-Conditioned MoE for Visual Document Retrieval Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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LARA: Latent Action Representation Alignment for Vision-Language-Action Models cites this paper.

LARA: Latent Action Representation Alignment for Vision-Language-Action Models Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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LARA: Latent Action Representation Alignment for Vision-Language-Action Models cites this paper.

LARA: Latent Action Representation Alignment for Vision-Language-Action Models Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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RhinoVLA Technical Report cites this paper.

RhinoVLA Technical Report Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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RhinoVLA Technical Report cites this paper.

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RhinoVLA Technical Report cites this paper.

RhinoVLA Technical Report Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack cites this paper.

Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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Contrastive Action-Image Pre-training for Visuomotor Control cites this paper.

Contrastive Action-Image Pre-training for Visuomotor Control Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 37

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AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model cites this paper.

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model cites this paper.

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model cites this paper.

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 22

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Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal Reasoning cites this paper.

Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal Reasoning Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 21

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SigLIP-HD by Fine-to-Coarse Supervision cites this paper.

SigLIP-HD by Fine-to-Coarse Supervision Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation cites this paper.

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 248

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LeapBot-WA: World-Anchor Action Models via Predictive Latent Alignments cites this paper.

LeapBot-WA: World-Anchor Action Models via Predictive Latent Alignments Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer cites this paper.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 182

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Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer cites this paper.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 168

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