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Found 7 papers, 3 papers with code
Generating Model Parameters for Controlling: Parameter Diffusion for Controllable Multi-Task Recommendation
To address this issue, we propose a novel controllable learning approach via Parameter Diffusion for controllable multi-task Recommendation (PaDiRec), which allows the customization and adaptation of recommendation model parameters to new task requirements without retraining.
Low-probability of Intercept/Detect (LPI/LPD) Secure Communications Using Antenna Arrays Employing Rapid Sidelobe Time Modulation
By performing rapid sidelobe time modulation (SLTM), the signal transmitted in the undesired directions (i. e., through sidelobes) undergoes spread-spectrum distortion making it more difficult to be detected, intercepted, and deciphered while the signal transmitted in the desired direction (i. e., through the main lobe) is unaffected.
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
To bridge the gap, we propose CPsyCoun, a report-based multi-turn dialogue reconstruction and evaluation framework for Chinese psychological counseling.
CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations
In this paper, we introduce a novel psychological benchmark, CPsyExam, constructed from questions sourced from Chinese language examinations.
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness
Specifically, inspired by the variation of information (VI) in information theory, we derive a disentangled learning objective composed of mutual information to represent both the semantic representativeness of latent embeddings and differentiation of robust and non-robust features.
Playing Technique Detection by Fusing Note Onset Information in Guzheng Performance
Because each Guzheng playing technique is applied to a note, a dedicated onset detector is trained to divide an audio into several notes and its predictions are fused with frame-wise IPT predictions.
Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction
Emotion-cause pair extraction aims to extract all emotion clauses coupled with their cause clauses from a given document.
Ranked #1 on
Emotion-Cause Pair Extraction
on ECPE-FanSplit
