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Optimizing KBQA by Correcting LLM-Generated Non-Executable Logical Form Through Knowledge-Assisted Path Reconstruction

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Semantic Voting: A Self-Evaluation-Free Approach for Efficient LLM Self-Improvement on Unverifiable Open-ended Tasks

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Consistent prompt learning for vision-language models

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Supplementary Prompt Learning for Vision-Language Models

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Detecting Generated Images by Fitting Natural Image Distributions

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Distributional Prototype Learning for Out-of-distribution Detection

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Enhancing Target-unspecific Tasks through a Features Matrix

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Epistemic Uncertainty for Generated Image Detection

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FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning

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Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection

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Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings

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Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs

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Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment

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MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection

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Towards Generalizable Detector for Generated Image

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Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions

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Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data

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