Recently, the AISpeech-Shanghai Jiao Tong University (SJTU) X-LANCE Lab announced that two of its research papers have been accepted by ICML 2025, a premier A-class international conference in machine learning. The accepted research focuses on enhancing the reliability and interpretability of large language models (LLMs), achieving key breakthroughs for complex task execution and cost-effective industrial deployment.

· Reducing Tool Hallucination via Reliability Alignment: 

· Heads up! Large Language Models Can Perform Tasks Without Your Instruction via Selective Attention Head Masking:

These advancements directly support AISpeech's mission to develop more reliable, controllable, and efficient large models. AISpeech maintains a strong academic presence, with consistent publications at top conferences including ICASSP, INTERSPEECH, ACL, EMNLP, and AAAI. It is recognized as a key player in the national AI strategy, operating the "MOST's National Platform for Language Computing AI Innovation", and undertaking numerous national and provincial R&D projects. AISpeech adheres to an independent LLM strategy, building a "1+N Reliable Distributed LLM Agent System" to serve enterprise clients effectively.