Abstract: A method including: receiving an input comprising natural language texts at an encoder; adding a token to the input; obtaining a last-layer hidden state as a natural language text representation; feeding the natural language text representation into a single-layer classification head; predicting a salience allocation based on the single-layer classification head; developing a salience-aware cross-attention (SACA) decoder to determine salience in the natural language text representation; mapping a plurality of salience degrees to a plurality of trainable salience embeddings; estimating an amount of signal to accept from the plurality of trainable salience embeddings; incorporating the salience allocation and the signal in a cross-attention layer model; and generating a summarization based on the SACA decoder and the cross-attention layer model.

Abstract: A method performed by at least one processor includes receiving a first input stream of a task and a second input stream of a solution. The method further includes selecting the first input stream or the second input stream. The method further includes providing the selected input stream to an image conversion model and a language model. The method further includes creating, based on the selected input stream, a model ensemble of the conversion model and the language model. The method further includes outputting a prediction based on the model ensemble. The method may further include generating an image corresponding to text, converting a textual task into a multimodal task, and solving the multimodal task.

Abstract: The present application relates to an intention recognition method and apparatus, a readable medium, and an electronic device. The method includes: by means of a preset intention recognition quantification model, performing a quantification operation on a dot product of a query vector and a key vector which correspond to each character in a target text, so as to obtain a fixed-point type target vector of a first bit; according to the fixed-point type target vector, determining, by means of a target mapping relationship, a floating-point type attention weight of a second bit corresponding to each character; and according to the floating-point type attention weight, determining a target intention corresponding to the target text, the first bit being smaller than the second bit.

Abstract: A few-shot object detection method includes: sending a weight of a backbone network and a weight of a feature pyramid to a detection network; generating candidate regions, in which the candidate regions derived from a result of foreground-and-background classification and regression of output features of the visual representation backbone network by a region proposal network; generating candidate region features of a uniform size using a pooling operator based on the candidate regions, and performing location regression, content classification and fine-grained feature mining on the candidate region features of the uniform size; establishing fine-grained positive sample pairs and negative sample pairs through the fine-grained feature mining, and performing comparative learning between fine-grained features of the candidate regions; and generating a loss function according to a strategy in fine-grained feature mining, and updating detection network parameters by calculating based on the loss function.

Abstract: Embodiments of the present application relate to functionalized N-acetylgalactosamine-analogs, methods of making, and uses of the same. In particular, mono or trivalent N-acetylgalactosamine analogs may be prepared by utilizing a wide variety of linkers containing functional groups. These functionalized N-acetylgalactosamine-analogs may be used in the preparation of targeted delivery of oligonucleotide-based therapeutics.

Abstract: The present disclosure provides a mobile phone waterproof bag sealing assembly, including a bag body used to accommodate a mobile phone. The sealing assembly includes: a flip fixture and a fixing part. The flip fixture includes a first clamp plate and a second clamp plate which are integrated; the bag body is spread along an edge of the first clamp plate; a side surface of the bag body is adhered to an inner wall surface of the first clamp plate and/or the second clamp plate; an opening of the bag body is folded by means of flipping the first clamp plate and the second clamp plate, and a sealing fold is formed on the bag body. The bag body is driven to be folded by means of flipping the first clamp plate and the second clamp plate, and then the flip fixture is kept in the closed state.

Abstract: Methods and apparatuses for headbands and head-worn devices are described. In one example, a headband includes a lace. The headband includes a tightenable apparatus disposed along a length of an inner side of the headband, the tightenable apparatus coupled to the lace and arranged to tighten or relax responsive to control of the lace. The headband further includes a cushion arranged to contact a wearer head.

Abstract: Methods and apparatuses for headbands and head-worn devices are described. In one example, a headband includes a lace. The headband includes a tightenable apparatus disposed along a length of an inner side of the headband, the tightenable apparatus coupled to the lace and arranged to tighten or relax responsive to control of the lace. The headband further includes a cushion arranged to contact a wearer head.