Abstract: A data processing method includes performing a plurality rounds of model reasoning, including, for a current round of model reasoning among the plurality rounds of model reasoning, determining, based on preceding specific reflection information corresponding to a preceding round of model reasoning, current prompt information of the current round of model reasoning, and executing, based on the current prompt information, the current round of model reasoning using a target model to obtain a current reasoning result of the current round of model reasoning. The preceding specific reflection information is generated based on preceding process information of the preceding round of model reasoning and high-level reflection information representing cross-task reflection information generated by the target model. The method further includes determining a target reasoning result based on one or more reasoning results from at least two rounds of model reasoning among the plurality of rounds of model reasoning.

Abstract: The present disclosure provides for antibody or antigen-binding fragment thereof that specifically binds to human cMET and multispecific antibody or antigen-binding fragment thereof, comprising a first antigen binding domain that specifically binds a first epitope of human cMET; a second antigen binding domain that specifically binds to a second epitope of human cMET; and a third antigen binding domain that specifically binds to human EGFR; wherein the first epitope is distinct from the second epitope, or wherein the first antigen binding domain does not compete with the second antigen binding domain. The present disclosure also provides for the use of the antibodies or multispecific antibodies for treating a disease, such as cancer.