| Selective Contrastive Learning For Gloss Free Sign Language Translation |
ACL 2026 |
CSL: R( 51.08), B1(52.81) |
No |
| Think in Latent Thoughts: A New Paradigm for Gloss-Free Sign Language Translation |
ACL 2026 |
CSL: R( 50.99), B1(49.57 |
https://github.com/fletcherjiang/SignThought |
| Learning Effective Sign Features without Text for Gloss-free Sign Language Translation |
CVPR 2026 |
CSL: R( 52.75), B1(52.13) |
No |
| BoostSLT: Boosting Sign Language Translation via a Plug-and-Play Diffusion-Based Semantic Enhancer |
CVPR 2026 |
CSL: R( 50.39), B1(49.75) |
https://github.com/K1sna/BoostSLT |
| SignDPO: Multi-level Direct Preference Optimisation for Skeleton-based Gloss-free Sign Language Translation |
No (目前最强) |
CSL: R( 58.62), B1(57.87) |
https://github.com/mpuu00001/SignDPO |
| RVLF: A Reinforcing Vision–Language Framework for Gloss-Free Sign Language Translation |
CVPR 2026 |
CSL: R( 55.92), B1( 54.96) |
|
| MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes |
NIPS 2025 |
CSL: R( 49.93), B1(50.24) |
https://github.com/gswycf/SignLanguage |
| Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation |
NIPS 2025 |
|
https://github.com/ed-fish/Geo-Sign |
| Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation |
NIPS 2025 |
|
no |
| Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation |
ICCV 2025 (棒子开源) |
CSL: R( 48.92), B1(49.87) |
https://github.com/hwjeon98/MMSLT |
| An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs |
NAACL 2025 (棒子开源) |
CSL: R( 47.46), B1(48.90) |
https://github.com/eddie-euijun-hwang/SpaMo |
