Shiyu Chang

Researchers introduced DeepAmbigQA, a dataset of 3,600 questions requiring multi-hop reasoning with half containing explicit name ambiguity, to benchmark LLM answer completeness. Tests showed that eve…

UC Santa Barbara researchers working as LinkedIn interns trained AI agents to predict and pre-execute their own next tool calls, a method called self-speculating that aims to reduce latency in systems…