Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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Long Text to Predictive Features: LLM-Guided Blockwise Feature Engineering via Executable Program Search
by Ziming Dai, Dabiao Ma, Ziheng Guo, Jack Dong, Zimu Zhou
OnTrack: Real-Time Monitoring and Intervention in LLM Agent Trajectories via Streaming Structure-Aware Optimal Transport
by Babak Barazandeh, Connor Swanson, Chinmay Kulkarni, Nikhil Mungel
RoboJEPA: Scaling Robotic Latent World Models
by Artem Zholus, Nicolas Beltran-Velez, Jianhao Yuan, Sarath Chandar, Tushar Nagarajan, Daniel Severo, Koustuv Sinha, Michal Drozdzal, Adriana Romero Soriano, Jeannette Bohg, Nicolas Ballas, Mahmoud Assran
SciExam for ENSO: Can AI Agents Build Climate Models?
by Yinling Zhang, Langchen Liu, Dongbin Xiu, Xueyan Zou, Xu Kuang, Mengdi Wang, Shilong Liu
RECAST: Learning to Compute the Right Context through Adaptive Evidence Routing
by Yilun Hao, Krishna Sayana, Isabella Ye, James S Ren, Sukhdeep Sodhi, Craig Boutilier, Chuchu Fan
Validity Without Ground Truth: What Stated-Preference Economics Offers the Evaluation of Language Models
by Daniel Robert Kling Alexander, Catherine Louise Kling
EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution
by Python Song, Zhixuan Liang, Kelsey Fu, Mengdi Wang, Junfeng Yang, Shilong Liu
IdeaAnchor: Teaching LLMs to Turn Literature into Research Ideas
by Ziyu Chen, Yilun Zhao, Jiashuo Sun, Yiling Ma, Manasi Patwardhan, Arman Cohan
The Missing Minimal Pair: Stereotype Evaluation in LLMs
by Nataliya Stepanova, Ivan Titov, Emily Allaway, Björn Ross
TranScope: What the Software Hides About LLM Training Data, the Hardware Reveals at Scale, and Accelerators Magnify
by Joshua Kalyanapu, Darsh Asher, Kaushal Mhapsekar, Bita Aslrousta, Rushiraj Chaitanyakumar Sheth, Maharshi Mukeshkumar Oza, Achyuta Kannan, Samira Mirbagher Ajorpaz