Participatory workshops with 35 stakeholders reveal systemic issues and alternative approaches to predictive models in child welfare.

Logan Stapleton, Min Hun Lee, Diana Qing et al.

Unified recommendation model M6-Rec using prompt tuning and multi-task fusion, supports open-domain tasks with 5-10% accuracy gain and 30% faster inference.

Zeyu Cui, Jianxin Ma, Chang Zhou et al.

Region-aware metric learning with MCA achieves SOTA in open-world semantic segmentation, improving anomaly detection and few-shot incremental learning.

Hexin Dong, Zifan Chen, Mingze Yuan et al.

Proposes ClaimDecomp dataset and T5-based models for generating literal and implied subquestions, improving explainability in complex claim fact-checking.

Jifan Chen, Aniruddh Sriram, Eunsol Choi et al.

Empirical study using think-aloud protocol reveals industry practitioners' needs and challenges in applying fairness toolkits like AIF360 and Fairlearn.

Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee et al.

Proposes an optimal comparator adaptive online learning algorithm with switching costs, achieving the best regret bounds via continuous-time dual space scaling.

Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis

FRIH achieves fine-grained region-aware image harmonization with 38.19 dB PSNR on iHarmony4 dataset.

Jinlong Peng, Zekun Luo, Liang Liu et al.

Gato, a 1.2B-parameter Transformer, unifies multi-modal, multi-task learning, achieving superior performance across 604 diverse tasks including Atari, robotics, and language.

Scott Reed, Konrad Zolna, Emilio Parisotto et al.

SparseTT employs sparse Transformer attention to improve visual tracking accuracy, achieving 40FPS with 75% faster training than TransT.

Zhihong Fu, Zehua Fu, Qingjie Liu et al.

UniMorph 4.0 introduces hierarchical features and multi-source data, enhancing multi-language morphological annotation and derivational analysis.

Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa et al.

Factory integrates SDF collision detection, contact reduction, and Gauss-Seidel solver to simulate 1000 contact-rich scenes in real-time.

Yashraj Narang, Kier Storey, Iretiayo Akinola et al.

RoboCraft uses graph networks to learn dynamics of elasto-plastic objects, achieving complex shape deformation with just 10 minutes of data.

Haochen Shi, Huazhe Xu, Zhiao Huang et al.

Integrating optimal transport-based contact point discovery (CPDeform) significantly improves multi-stage soft-body manipulation, overcoming local minima and enabling automatic contact switching.

Sizhe Li, Zhiao Huang, Tao Du et al.

FixNet uses physical simulation and functional prediction to repair 3D objects, achieving 62.3% accuracy.

Yining Hong, Kaichun Mo, Li Yi et al.

Proposes Wavelet Neural Operator (WNO), integrating wavelet transform with integral kernels, achieving high-accuracy parametric PDE mappings.

Tapas Tripura, Souvik Chakraborty

Using NSGA-II to optimize CNN+LSTM hyperparameters with five objectives, analyzing their impact on vehicle trajectory prediction.

Fergal Stapleton, Edgar Galván, Ganesh Sistu et al.

Task-guided scientific knowledge retrieval enhances scientific discovery efficiency.

Tom Hope, Doug Downey, Oren Etzioni et al.

OpenAlex is a fully open scholarly knowledge graph with 209M works, 2013M authors, 124k venues, 109k institutions, and 65k concepts, accessible via open API and data dumps.

Jason Priem, Heather Piwowar, Richard Orr

OPT suite (125M-175B parameters) achieves GPT-3-level performance with 1/7th carbon footprint.

Susan Zhang, Stephen Roller, Naman Goyal et al.

Introducing e-values as a replacement for p-values in hypothesis testing, enabling data-driven alpha adjustments with guaranteed Type-I risk control within a generalized Neyman-Pearson framework.

Peter Grünwald