ELSA3D introduces elastic semantic anchoring via sparse anchor tokens and a scale-aware octree tokenizer to unify 3D generation and captioning at reduced computational cost.
Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
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River-LLM enables token-level early exit in decoder-only LLMs by routing exited tokens through 4-bit quantized copies of backbone layers that share the KV cache addressing scheme, achieving 1.53–2.16× wall-clock speedup without training.
citing papers explorer
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ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation
ELSA3D introduces elastic semantic anchoring via sparse anchor tokens and a scale-aware octree tokenizer to unify 3D generation and captioning at reduced computational cost.
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River-LLM: Large Language Model Seamless Exit Based on KV Share
River-LLM enables token-level early exit in decoder-only LLMs by routing exited tokens through 4-bit quantized copies of backbone layers that share the KV cache addressing scheme, achieving 1.53–2.16× wall-clock speedup without training.