| Method                                                       | Conference            | Performance                | Code                                         |
| ------------------------------------------------------------ | --------------------- | -------------------------- | -------------------------------------------- |
| 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  |