Attention-Steered Vision-Language Models for Sign Language Translation

arXiv:2608.00235 · cs.CV · Submitted 2026-07-31 · Read on arXiv

cs.CV

Submitted: 2026-07-31

Updated: 2026-09-16

Comments: EMNLP 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• GRPO — 67× in this paper · explained in 6 episodes
• Steering — 28× in this paper · explained in 2 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Ablation — 7× in this paper · explained in 1 episode
• American Sign Language — 7× in this paper
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Grounding — 5× in this paper · explained in 3 episodes
• Regularization — 5× in this paper · explained in 3 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• GRPO Objective — 3× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 3× in this paper · explained in 6 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Visual Grounding — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Mask Generation — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Objective Mismatch — 1× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• GPT-4 Technical Report
• Qwen Technical Report
• Qwen2.5-VL Technical Report
• Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
• LoRA: Low-Rank Adaptation of Large Language Models
• Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
• LLaVA-OneVision: Easy Visual Task Transfer
• Uni-Sign: Toward Unified Sign Language Understanding at Scale
• LLaVA-SLT: Visual Language Tuning for Sign Language Translation
• An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs
• Gloss-Free End-to-End Sign Language Translation
• Think in Latent Thoughts: A New Paradigm for Gloss-Free Sign Language Translation
• Semantic Communities and Boundary-Spanning Lyrics in K-pop: A Graph-Based Unsupervised Analysis
• MediaPipe: A Framework for Building Perception Pipelines
• DINOv2: Learning Robust Visual Features without Supervision
• SignDPO: Multi-level Direct Preference Optimisation for Skeleton-based Gloss-free Sign Language Translation
• RVLF: A Reinforcing Vision-Language Framework for Gloss-Free Sign Language Translation
• Towards Privacy-Aware Sign Language Translation at Scale
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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