· ai
[Paper] VisualActBench: Can VLMs See and Act like a Human?
Vision-Language Models (VLMs) have achieved impressive progress in perceiving and describing visual environments. However, their ability to proactively reason a...
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- · ai
[Paper] YOPO-Nav: Visual Navigation using 3DGS Graphs from One-Pass Videos
Visual navigation has emerged as a practical alternative to traditional robotic navigation pipelines that rely on detailed mapping and path planning. However, c...
- · devops
[Paper] Link-Sharing Backpressure Routing In Wireless Multi-Hop Networks
Backpressure (BP) routing and scheduling is an established resource allocation method for wireless multi-hop networks, noted for its fully distributed operation...
- · ai
[Paper] Visual Heading Prediction for Autonomous Aerial Vehicles
The integration of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) is increasingly central to the development of intelligent autonomous syst...
- · ai
[Paper] SCOPE: Language Models as One-Time Teacher for Hierarchical Planning in Text Environments
Long-term planning in complex, text-based environments presents significant challenges due to open-ended action spaces, ambiguous observations, and sparse feedb...
- · ai
[Paper] Human-in-the-Loop and AI: Crowdsourcing Metadata Vocabulary for Materials Science
Metadata vocabularies are essential for advancing FAIR and FARR data principles, but their development constrained by limited human resources and inconsistent s...
- · ai
[Paper] Exploring Protein Language Model Architecture-Induced Biases for Antibody Comprehension
Recent advances in protein language models (PLMs) have demonstrated remarkable capabilities in understanding protein sequences. However, the extent to which dif...
- · ai
[Paper] Provably Learning from Modern Language Models via Low Logit Rank
While modern language models and their inner workings are incredibly complex, recent work (Golowich, Liu & Shetty; 2025) has proposed a simple and potential...
- · ai
[Paper] Analysis of Dirichlet Energies as Over-smoothing Measures
We analyze the distinctions between two functionals often used as over-smoothing measures: the Dirichlet energies induced by the unnormalized graph Laplacian an...
- · ai
[Paper] HPM-KD: Hierarchical Progressive Multi-Teacher Framework for Knowledge Distillation and Efficient Model Compression
Knowledge Distillation (KD) has emerged as a promising technique for model compression but faces critical limitations: (1) sensitivity to hyperparameters requir...
- · ai
[Paper] Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs
Correctly parsing mathematical formulas from PDFs is critical for training large language models and building scientific knowledge bases from academic literatur...
- · ai
[Paper] Diffusion Posterior Sampler for Hyperspectral Unmixing with Spectral Variability Modeling
Linear spectral mixture models (LMM) provide a concise form to disentangle the constituent materials (endmembers) and their corresponding proportions (abundance...