Xiang Deng

Life update: I moved to silicon valley to tackle agents' biggest challenges: plasticity and reliability. Today's agents are smart but brittle. They lack plasticity (continual learning and adaptation) and reliability (stable, predictable behavior with bounded failures). These two traits define whether agents become critical infrastructure or remain clever demos. Plastic systems like to change. Reliable systems resist change. Is it even possible to have both of these seemingly conflicting traits? Fortunately, humans are a living example of that. We are constantly learning and adapting while staying remarkably dependable (for the most part, at least). The real question is, how can we achieve the same harmony within a different cognitive substrate? We've brought together some of the world's best agent experts whose work (Mind2Web, MMMU, LLM-Planner, SeeAct, UGround) helped shape the modern agent field. Now we are taking on the new mission: unlocking plasticity and reliability for every agent. We are looking for cracked researchers and engineers to join us in person in the bay area! If you strongly resonate with the mission, send your CV and thoughts to: hiring@neocognition.io I will be at #neurips2025. Happy to chat over coffee!

📢 New preprint alert! Check out our latest research on 🌟automatic evaluation of attribution by #LLMs, i.e., verifying whether the generated statement is supported by the cited reference. arxiv.org/abs/2305.06311 [1/N] #NLP #NLProc

Did you know language models like GPT can also be used to encrypt and protect your data? I'm excited to finally present SELM, a Symmetric Encryption algorithm with autoregressive Language Models, with @ysu_nlp and @osunlp! Website: samuelstevens.me/research/encry…