output
20142026
most citedAutomated Reinforcement Learning (AutoRL): A Survey and Open Problems

91 citations

92 papers

cs.RO2026

Energy-Efficient Quadruped Locomotion with Compliant Feet

Pramod Pal, Shishir Kolathaya, Ashitava Ghosal

Quadruped robots are often designed with rigid feet to simplify control and maintain stable contact during locomotion. While this approach is straightforward, it limits the ability…

quant-ph2026

Coherence thermometry using multipartite quantum systems

Pranav Perumalsamy, Abhijit Mandal, Sovik Roy +1

Accurate temperature measurement at the quantum scale is becoming increasingly important for emerging quantum technologies, motivating the development of quantum thermometry based…

cs.CV2025

Open Ad-hoc Categorization with Contextualized Feature Learning

Zilin Wang, Sangwoo Mo, Stella X. Yu +2

Adaptive categorization of visual scenes is essential for AI agents to handle changing tasks. Unlike fixed common categories for plants or animals, ad-hoc categories are created dy…

cs.NE2025

Scaling Equilibrium Propagation to Deeper Neural Network Architectures

Sankar Vinayak Elayedam, Gopalakrishnan Srinivasan

Equilibrium propagation has been proposed as a biologically plausible alternative to the backpropagation algorithm. The local nature of gradient computations, combined with the use…

cs.CY2025★ 2 cited

Simulating Dispute Mediation with LLM-Based Agents for Legal Research

Junjie Chen, Haitao Li, Minghao Qin +6

Legal dispute mediation plays a crucial role in resolving civil disputes, yet its empirical study is limited by privacy constraints and complex multivariate interactions. To addres…

cs.CV2025★ 7 cited

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels

Xiwei Xuan, Xiaoqi Wang, Wenbin He +4

The advances in multi-modal foundation models (FMs) (e.g., CLIP and LLaVA) have facilitated the auto-labeling of large-scale datasets, enhancing model performance in challenging do…