| | 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 | |
