Summary of Variational Bayes Gaussian Splatting, by Toon Van De Maele et al.
Variational Bayes Gaussian Splattingby Toon Van de Maele, Ozan Catal, Alexander Tschantz, Christopher L. Buckley,…
Summary of Avg-llava: a Large Multimodal Model with Adaptive Visual Granularity, by Zhibin Lan et al.
AVG-LLaVA: A Large Multimodal Model with Adaptive Visual Granularityby Zhibin Lan, Liqiang Niu, Fandong Meng,…
Summary of Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities Of Lrm O1, by Karthik Valmeekam et al.
Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities of LRM o1by…
Summary of Can Language Models Take a Hint? Prompting For Controllable Contextualized Commonsense Inference, by Pedro Colon-hernandez et al.
Can Language Models Take A Hint? Prompting for Controllable Contextualized Commonsense Inferenceby Pedro Colon-Hernandez, Nanxi…
Summary of Auto-demo Prompting: Leveraging Generated Outputs As Demonstrations For Enhanced Batch Prompting, by Longyu Feng et al.
Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Promptingby Longyu Feng, Mengze Hong,…
Summary of Knobgen: Controlling the Sophistication Of Artwork in Sketch-based Diffusion Models, by Pouyan Navard et al.
KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Modelsby Pouyan Navard, Amin Karimi Monsefi,…
Summary of Efficient Length-generalizable Attention Via Causal Retrieval For Long-context Language Modeling, by Xiang Hu et al.
Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modelingby Xiang Hu, Zhihao Teng, Jun…
Summary of Gera: Geometric Embedding For Efficient Point Registration Analysis, by Geng Li et al.
GERA: Geometric Embedding for Efficient Point Registration Analysisby Geng Li, Haozhi Cao, Mingyang Liu, Shenghai…
Summary of Inferring Preferences From Demonstrations in Multi-objective Reinforcement Learning, by Junlin Lu et al.
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learningby Junlin Lu, Patrick Mannion, Karl MasonFirst submitted…
Summary of Probabilistic Answer Set Programming with Discrete and Continuous Random Variables, by Damiano Azzolini and Fabrizio Riguzzi
Probabilistic Answer Set Programming with Discrete and Continuous Random Variablesby Damiano Azzolini, Fabrizio RiguzziFirst submitted…