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Found 20 papers, 3 papers with code
The Mirage of Performance Gains: Why Contrastive Decoding Fails to Address Multimodal Hallucination
Contrastive decoding strategies are widely used to reduce hallucinations in multimodal large language models (MLLMs).
EvMic: Event-based Non-contact sound recovery from effective spatial-temporal modeling
In this work, we propose a novel pipeline for non-contact sound recovery, fully utilizing spatial-temporal information from the event stream.
Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference
Multimodal large language models (MLLMs) improve performance on vision-language tasks by integrating visual features from pre-trained vision encoders into large language models (LLMs).
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language Models
However, these methods present two main limitations: (1) bluntly suppressing language priors can compromise coherence and accuracy of generated content, and (2) processing contrastive inputs adds computational load, significantly slowing inference speed.
A Decade of Action Quality Assessment: Largest Systematic Survey of Trends, Challenges, and Future Directions
Action Quality Assessment (AQA) -- the ability to quantify the quality of human motion, actions, or skill levels and provide feedback -- has far-reaching implications in areas such as low-cost physiotherapy, sports training, and workforce development.
Perturbation Ontology based Graph Attention Networks
In recent years, graph representation learning has undergone a paradigm shift, driven by the emergence and proliferation of graph neural networks (GNNs) and their heterogeneous counterparts.
Navigating Spatial Inequities in Freight Truck Crash Severity via Counterfactual Inference in Los Angeles
Freight truck-related crashes pose significant challenges, leading to substantial economic losses, injuries, and fatalities, with pronounced spatial disparities across different regions.
EvSign: Sign Language Recognition and Translation with Streaming Events
Sign language is one of the most effective communication tools for people with hearing difficulties.
Single-Codec: Single-Codebook Speech Codec towards High-Performance Speech Generation
The multi-codebook speech codec enables the application of large language models (LLM) in TTS but bottlenecks efficiency and robustness due to multi-sequence prediction.
Output contraction analysis of nonlinear systems
This paper introduce the notion of output contraction that expands the contraction notion to the time-varying nonlinear systems with output.
Contraction analysis of time-varying DAE systems via auxiliary ODE systems
The first result pertains to the equivalence of the contraction of a DAE system and the uniform global exponential stability (UGES) of its variational DAE system.
Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels
In this context, we address the problem of efficient remote object recognition by optimizing feature transmission between mobile devices and edge servers.
Leveraging Optical Communication Fiber and AI for Distributed Water Pipe Leak Detection
Detecting leaks in water networks is a costly challenge.
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
Concretely, to avoid the ego-system overfitting to a specific attacker, we maintain a set of attackers, which is optimized to guarantee the attackers high attacking quality and behavior diversity.
A multi view multi stage and multi window framework for pulmonary artery segmentation from CT scans
In addition, in order to improve the segmentation performance, we adopt multi-view and multi-window level method, at the same time we employ a fine-tune strategy to mitigate the impact of inconsistent labeling.
Multi-Access Point Coordination for Next-Gen Wi-Fi Networks Aided by Deep Reinforcement Learning
Meanwhile, a deep reinforcement learning channel access (DLCA) protocol is developed to replace the binary exponential backoff mechanism in DCF to enhance the network throughput by enabling the coordination of APs.
Model Generation with Provable Coverability for Offline Reinforcement Learning
Model-based offline optimization with dynamics-aware policy provides a new perspective for policy learning and out-of-distribution generalization, where the learned policy could adapt to different dynamics enumerated at the training stage.
Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks
According to the proposed prior-aided iterative angle estimation algorithm, azimuth/elevation angles can be estimated, and these angles are adopted to achieve precise beam-alignment and refine GTTDU module for further eliminating delay-beam squint.
Information Theory Signal Processing Information Theory
Secret Key Generation for Intelligent Reflecting Surface Assisted Wireless Communication Networks
We propose and analyze secret key generation using intelligent reflecting surface (IRS) assisted wireless communication networks.
Higher-order clustering in networks
Here we introduce higher-order clustering coefficients that measure the closure probability of higher-order network cliques and provide a more comprehensive view of how the edges of complex networks cluster.
