A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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This paper introduces a few-shot neuro-symbolic imitation learning framework that combines symbolic planning with neural control for long-horizon tasks.
Andrew Walker, Jerik Leung, Aishwarya Alagappan, et al.
This study uses NLP and LLMs to analyze Reddit lupus narratives, extracting multidimensional biopsychosocial pain insights to support patient-centered rheumatology care.
Yifei Zhao, Xiangxin Zhou, Wenhao Yang, et al.
SceneActBench benchmarks VLM agents on acting in multi-object 3D scenes via a unified agent-environment loop, revealing no model performs consistently across five tasks.
Gunnar Carlsson
This paper introduces topological data analysis (TDA) as a framework for extracting qualitative, large-scale structure from high-dimensional, noisy point clouds using geometry and topology.
Michael Montemerlo, Jan Becker, Suhrid Bhat, et al.
Junior, a robotic vehicle from Stanford, won second place in the DARPA Urban Challenge by autonomously navigating urban environments, selecting routes, and interacting with traffic.
Daniel Bolya, Po-Yao Huang, Peize Sun, et al.
Perception Encoder is a vision encoder trained via contrastive vision-language learning that achieves state-of-the-art results across diverse tasks by extracting strong general embeddings from intermediate layers.