Search papers, labs, and topics across Lattice.
3
0
8
0
SwanVoice leaps ahead in zero-shot TTS by nailing expressive, multi-speaker dialogue with a single model, finally bridging the gap between monologue quality and conversational coherence.
LLMs can now call tools more efficiently and accurately by representing them as loadable parameters, eliminating the need for lengthy in-context documentation.
LLM multi-agent systems can achieve significantly higher accuracy at a fraction of the cost by learning to selectively delegate tasks instead of relying on rigid orchestration.
