Abstract: Technologies for correcting transmitter common mode (CM) voltage deviations in serial data are described. A transmitter device includes a clock source to supply a plurality of phase signals, and a resonant structure to receive the plurality of phase signals and generate a plurality of sinusoidal phase signals. The transmitter device also includes a first serializer to receive parallel data and convert the parallel data to serial data using the plurality of sinusoidal phase signals, and a transmitter coupled to an output of the first serializer. The transmitter device also includes a duty-cycle correction circuit coupled ton an output node of the transmitter. The duty-cycle correction circuit can detect a CM voltage deviation in the serial data, and correct the CM voltage deviation by applying a voltage offset to the plurality of sinusoidal phase signals.

Abstract: Technologies for providing passive equalization with front-end level shifter (FELS) are described. One receiver device includes an input terminal, an analog signal processing circuit; and a front-end equalizer circuit coupled between the input terminal and the analog signal processing circuit. The front-end equalizer circuit includes a programmable common mode feedback (CMFB) circuit and a passive resistor-inductor-capacitor (RLC) network. The programmable CMFB circuit can receive, from the input terminal, an incoming agnostic common-mode (CM) signal having a first voltage level and a differential peak-to-peak voltage in at least one of an alternating current coupled mode (AC-coupled mode) or a direct current-coupled mode (DC-coupled mode). The programmable CMFB circuit can level shift the incoming agnostic CM signal to a CM signal having a second voltage level using an adjustable current source, the second voltage level corresponding to the analog signal processing circuit.

Abstract: Technologies for providing temperature compensation in a receiver analog front-end (RX AFE) are described. One receiver device includes an RX AFE circuit with at least one load component and at least one load inductor structure with a closed ring. The RX AFE circuit is subject to circuit parameter variation across a range of temperatures that causes a temperature drift in the receiver device. The closed ring reduces the temperature drift by generating an eddy current to reduce an effective inductance of the at least one load inductor structure. The eddy current depends on an equivalent series resistance (ESR) of the closed ring.

Abstract: A method for generating information is provided. The method includes determining a task type of a target task; determining a task evaluation dimension corresponding to the target task according to the task prompt word and the task type of the target task; generating an evaluation result corresponding to the task evaluation dimension according to the task evaluation dimension and the task result, where the task result is generated by a large language model according to a target task and a task prompt word; and determining target information of the target task according to the task evaluation dimension and the evaluation result.

Abstract: A method for generating a live streaming script, an electronic device and a storage medium are provided, which relate to the field of artificial intelligence technologies, in particular to the fields of natural language processing, large models, and virtual digital characters. The method for generating a live streaming script includes: generating at least one first script segment according to an initial input information, where the first script segment includes a speech content text and an object description sub-segment for a live streaming object, the object description sub-segment includes an object description text for describing at least one of an action presented by the live streaming object or a presentation mode for the speech content text; and determining the live streaming script according to the at least one first script segment.

Abstract: A method for generating a digital human video based on a large model, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technologies, and may be applied to scenarios such as video livestreaming, advertisement production, and e-commerce sales. The method includes: acquiring a requirement information including an action description information for describing a specified action video segment, and the action video segment represents a specified action of a target object; processing the requirement information using a first large model to obtain a target script, where the target script includes a target speech segment text matching the action description information; and processing the target script and the action video segment using a second large model to obtain a target video for displaying a target digital human performing a speech delivery based on the target speech segment text while performing the specified action.

Abstract: An annotation method for a large language model, an electronic device, and a medium are provided. The method may include: obtaining a plurality of response texts that are generated by a large language model for a request text and that meet a difference requirement; obtaining a plurality of scores corresponding to the plurality of response texts, where each of the plurality of scores indicates a degree to which a corresponding response text in the plurality of response texts matches the request text; and obtaining an annotated text for at least one of the plurality of response texts based on the plurality of scores, where the annotated text is used to adjust a parameter of the large language model.

Abstract: A method, apparatus, device, and medium for generating instruction data is provided. The method includes: obtaining a natural language-based reference instruction to direct a large model to generate response data meeting multiple first requirements; obtaining a structured disassembly result of the reference instruction to derive several reference slots and slot values corresponding to these requirements; determining multiple sample slots and sample slot values based on the reference slots, slot values, and a predetermined rule; and generating a natural language-based sample instruction from these sample slots and values, which directs the large model to generate response data that fulfills multiple second requirements.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several parameters. Each parameter controls at least a portion of the frequency response of the receiver. The optimal values for the parameters are determined by modifying an initial set of values for the parameters through one or more stochastic hill climbing operations until a performance metric associated with the receiver reaches a local optimum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the parameters.

Abstract: A method and an apparatus for structuring data are related to information processing technologies in the field of natural language processing. By acquiring an unstructured text and inputting the unstructured text into an encoder-decoder model, an output sequence is obtained. The encoder-decoder model is trained using a training text marked with the attribute value of each attribute. A structured representation is generated based on the attributes corresponding to the attribute elements included in the output sequence and the attribute values comprised in the attribute elements.

Abstract: A device includes a transmitter to transmit serialized data within a differential direct-current (DC) signal over a differential output line, a multiplexer circuit coupled to the transmitter, and a calibration circuit coupled between the differential output line, a multi-phase clock, and the multiplexer circuit. The multiplexer circuit is to select the serialized data from ones of multiple input lines according to a multi-phase clock and pass the selected serialized data to the transmitter. The serialized data includes a calibration bit pattern. The calibration circuit is to capture and digitize the differential DC signal into a digital stream, measure an error value from the digital stream that is associated with distortion based on the calibration bit pattern, convert the error value into a gradient value, and correct one or more phases of the multi-phase clock to compensate for the distortion based on the gradient value.

Abstract: Embodiments of the present disclosure provide methods and apparatus for outputting information. The method may include: obtaining a sentence to be identified; Performing word segmentation on the to be identified sentence to obtain a word sequence; Inputting a word sequence into a pre-trained multi-task element recognition model based on sequence labeling and entity word prediction, and outputting the identified entity words, entity categories and entity word positions, where the multi-task element recognition model includes a sequence labeling network for performing sequence labeling tasks and an entity word predicting network for performing entity word predicting task, and the sequence labeling network is fused with the entity word predicting network through a fusion module.

Abstract: The disclosure provides a search method, an electronic device and a storage medium. The method includes: obtaining a query statement; determining a correlation between the query statement and a candidate result by matching the query statement with a first structured data set corresponding to the candidate result in a search database, in which the first structured data set is generated by performing information extraction on the candidate result by a structured information extraction model generated by training; and determining, based on the correlation, a target search result corresponding to the query statement.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for subscribing to a topic. The method includes: matching a persistent topic for a retrieval keyword based on the retrieval keyword of a user combined with at least one of historical behavior or a subscription record of the user; returning the persistent topic to a client for display, so that the user performs subscription; and saving the persistent topic subscribed to by the user, and when a matching resource corresponding to the persistent topic subscribed to by the user is updated, recommending the updated matching resource to the user. Since a recommendation strategy can be timely adjusted according to real-time behavior of a user combined with historical behavior, the probability of hitting a topic of interest to the user is increased.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several frequency response parameters. Each frequency response parameter controls at least a portion of the frequency response of the receiver. The optimal values for the frequency response parameters are determined by modifying an initial set of values for the frequency response parameters through one or more of stochastic hill climbing operations until a performance metric associated with the receiver reaches a local maximum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the frequency response parameters.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several parameters. Each parameter controls at least a portion of the frequency response of the receiver. The optimal values for the parameters are determined by modifying an initial set of values for the parameters through one or more stochastic hill climbing operations until a performance metric associated with the receiver reaches a local optimum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the parameters.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several frequency response parameters. Each frequency response parameter controls at least a portion of the frequency response of the receiver. The optimal values for the frequency response parameters are determined by modifying an initial set of values for the frequency response parameters through one or more of stochastic hill climbing operations until a performance metric associated with the receiver reaches a local maximum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the frequency response parameters.

Abstract: Embodiments of the present disclosure provide methods and apparatus for outputting information. The method may include: obtaining a sentence to be identified; Performing word segmentation on the to be identified sentence to obtain a word sequence; Inputting a word sequence into a pre-trained multi-task element recognition model based on sequence labeling and entity word prediction, and outputting the identified entity words, entity categories and entity word positions, where the multi-task element recognition model includes a sequence labeling network for performing sequence labeling tasks and an entity word predicting network for performing entity word predicting task, and the sequence labeling network is fused with the entity word predicting network through a fusion module.

Abstract: A method and an apparatus for structuring data are related to information processing technologies in the field of natural language processing. By acquiring an unstructured text and inputting the unstructured text into an encoder-decoder model, an output sequence is obtained. The encoder-decoder model is trained using a training text marked with the attribute value of each attribute. A structured representation is generated based on the attributes corresponding to the attribute elements included in the output sequence and the attribute values comprised in the attribute elements.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several frequency response parameters. Each frequency response parameter controls at least a portion of the frequency response of the receiver. The optimal values for the frequency response parameters are determined by modifying an initial set of values for the frequency response parameters through one or more of stochastic hill climbing operations until a performance metric associated with the receiver reaches a local maximum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the frequency response parameters.