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765 items on 30 Sep 2026
AI Research AI Python

How Many Stories Can Your Data Tell?

How the way we represent data can change what we think the data is saying The post How Many Stories Can Your Data Tell? appeared first on Towards Data Science.

Source: Towards Data Science Sara A. Metwalli
AI Research AI Python

Insight Is Still the Currency of Data Science

Coding agents give us more time for discovery and our review practices should follow the analysis The post Insight Is Still the Currency of Data Science appeared first on Towards Data Science.

Source: Towards Data Science Andrew Hinton
AI Research AI

FACT: Fidelity-Aware Construction of Articulated Twins

arXiv:2609.37067v1 Announce Type: cross Abstract: Visually plausible articulated assets may still fail during contact interactions or exhibit inaccurate motion. We present FACT (Fidelity-Aware Construction of…

Source: arXiv cs.AI Kuixiang Shao, Chuansen Nie, Yinuo Bai, Jiayuan Gu, Jingyi Yu
AI Research AI

WitnessGym: Benchmarking Coding Agents on the Construction of Bug Witnesses

arXiv:2609.36635v1 Announce Type: cross Abstract: Bug validation asks a coding agent to produce an executable witness for a reported bug. The witness combines a concrete input with a testing harness and exposes faulty…

Source: arXiv cs.AI Haomin Qi, Xiangzhe Xu, Yiming Huang, Jingbo Shang, Chengpeng Wang
AI Research AI

Benchmarking Vision-Language Models on Synapse Detection and Proofreading in Connectomics

arXiv:2609.36492v1 Announce Type: cross Abstract: We benchmarked vision-language models (VLMs) on the decisions annotators take when inspecting electron microscopy images in connectomics: synapse detection (presence and…

Source: arXiv cs.AI Yicong Li, Junjie Wang, Leander Lauenburg, Ella Hugie, Alexandra Irger, Wanhua Li, Donglai Wei, Hanspeter Pfister
AI Research AI

HorizonFlow: Variable-Length Planning for Offline Goal-Conditioned RL

arXiv:2609.36896v1 Announce Type: new Abstract: Recent advances in generative planning have made trajectory inpainting a promising approach to offline goal-conditioned reinforcement learning. However, these methods…

Source: arXiv cs.AI JunHyeok Oh, Zian Jang, Byung-Jun Lee
AI Research AI

How Can Recommendation Feedback Evolve Agent Memory?

arXiv:2609.37544v1 Announce Type: new Abstract: Content-generation agents continuously receive impressions, clicks, conversions, and negative feedback from recommendation systems, providing real-world outcome signals…

Source: arXiv cs.AI Shanwen Mao, Mingming Li, Hao Zhang, Zhiheng Li, Yige Wang, Penghua Yu, Junxiong Zhu

765 items available