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cs.LG2026
MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution
Bowen Ren, Heyan Huang, Yinghao Li +1
Large language models (LLMs) exhibit strong reasoning capabilities, yet most LLM-based agents are statically deployed and unable to improve through task interactions. Existing expe…
cs.SD2026
Scaling Speech Tokenizers with Diffusion Autoencoders
Yuancheng Wang, Zhenyu Tang, Yun Wang +9
Speech tokenizers are foundational to speech language models, yet existing approaches face two major challenges: (1) balancing trade-offs between encoding semantics for understandi…