Research map / Vision-language and multimodal / Robot action and navigation
Gated-Attention Architectures for Task-Oriented Language Grounding
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace concatenation with Gated-Attention | A3C · Easy MT | accuracy: 1.00 -> 1.00 | No clear effect |
| Replace concatenation with Gated-Attention | A3C · Easy ZSL | accuracy: 0.80 -> 0.81 | Helped |
| Replace concatenation with Gated-Attention | A3C · Medium MT | accuracy: 0.80 -> 0.89 | Helped |
| Replace concatenation with Gated-Attention | A3C · Medium ZSL | accuracy: 0.54 -> 0.75 | Helped |
| Replace concatenation with Gated-Attention | A3C · Hard MT | accuracy: 0.24 -> 0.83 | Helped |
| Replace concatenation with Gated-Attention | A3C · Hard ZSL | accuracy: 0.12 -> 0.73 | Helped |
| Replace concatenation with Gated-Attention | Behavioral Cloning · Easy MT | accuracy: 0.86 -> 0.97 | Helped |
| Replace concatenation with Gated-Attention | Behavioral Cloning · Easy ZSL | accuracy: 0.71 -> 0.81 | Helped |
| Replace concatenation with Gated-Attention | DAgger · Medium MT | accuracy: 0.45 -> 0.55 | Helped |
| Replace concatenation with Gated-Attention | DAgger · Medium ZSL | accuracy: 0.23 -> 0.40 | Helped |
| Replace concatenation with Gated-Attention | Behavioral Cloning · Hard MT | accuracy: 0.20 -> 0.36 | Helped |
| Replace concatenation with Gated-Attention | DAgger · Hard ZSL | accuracy: 0.13 -> 0.30 | Helped |
Closest papers by meaning
- Bridging Environments and Language with Rendering Functions and Vision-Language Models (ICML 2024 · similarity 0.88)
- A New Path: Scaling Vision-and-Language Navigation With Synthetic Instructions and Imitation Learning (CVPR 2023 · similarity 0.88)
- Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data (NeurIPS 2025 · similarity 0.87)
- DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding (ICLR 2025 · similarity 0.86)
- Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks (ICLR 2024 · similarity 0.85)
- D3D-VLP: Dynamic 3D Vision-Language-Planning Model for Embodied Grounding and Navigation (CVPR 2026 · similarity 0.85)
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