FASTER introduces Horizon-Aware Schedule to significantly reduce reaction latency in VLA models.

Yuxiang Lu, Zhe Liu, Xianzhe Fan et al.

The study explores how LLMs encode auditory knowledge and its impact on audio language models.

Ke-Han Lu, Szu-Wei Fu, Chao-Han Huck Yang et al.

OS-Themis framework improves GUI agent performance by 10.3% on AndroidWorld using a multi-agent critic mechanism.

Zehao Li, Zhenyu Wu, Yibo Zhao et al.

Sparse Autoencoders reveal interpretable and steerable features in VLA models, enhancing generalization on the LIBERO benchmark.

Aiden Swann, Lachlain McGranahan, Hugo Buurmeijer et al.

Box Maze framework reduces LLM reasoning error rate to below 1% through memory grounding, structured inference, and boundary enforcement.

Zou Qiang

ADMM-based distributed MPC with control barrier functions for quadrupedal robots reduces planning time by 51%.

Yicheng Zeng, Ruturaj S. Sambhus, Basit Muhammad Imran et al.

ARIADNE uses DPO and RL for coronary angiography, achieving a centerline Dice of 0.838.

Zhan Jin, Yu Luo, Yizhou Zhang et al.

MAPG uses multi-agent probabilistic grounding for metric-semantic goal localization in vision-language navigation, excelling on the HM-EQA benchmark.

Swagat Padhan, Lakshya Jain, Bhavya Minesh Shah et al.

PPI estimator is algebraically equivalent to Cassel et al.'s difference estimator, combining ML predictions with few labels for statistical inference.

Reagan Mozer

VEPO enhances translation quality and tokenization efficiency for low-resource languages using reinforcement learning with verifiable rewards.

Chonghan Liu, Yimin Du, Qi An et al.

Construct Karhunen-Loève expansions using Fredholm integral equation, combined with SVD for consistent solutions.

Cosmin Safta, Habib N. Najm

Fast interpretable autoregressive estimation using neural network backpropagation, achieving 12.6x speedup.

Anaísa Lucena, Ana Martins, Armando J. Pinho et al.

OmniAnomaly and PCA perform comparably on the SMD dataset, especially without point adjustment.

Bruna Alves, Ana Martins, Armando J. Pinho et al.

The paper introduces a maximum-entropy exploration method using future state-action visitation measures, improving feature visitation and convergence speed.

Adrien Bolland, Gaspard Lambrechts, Damien Ernst

Using BERT Score and expert evaluation, this study analyzes ChatGPT-4o, GeminiAI, and Perplexity AI's performance in generating Telugu maternal health responses, with Gemini leading.

Anagani Bhanusree, Sai Divya Vissamsetty, K VenkataKrishna Rao et al.

Proposes a reference-free simulation framework by training independent user and recommender simulators for more realistic dialogues.

Jerome Ramos, Feng Xia, Xi Wang et al.

Recover sparse neural connectivity from partial measurements using a covariance-based method with Granger-causality refinement.

Quilee Simeon

ChoiceEval framework reveals geographic bias in LLM brand and cultural preferences, notably favoring US entities.

Jasmine Rienecker, Katarina Mpofu, Naman Goel et al.

ALIGN uses adversarial learning to enhance cross-session generalization in speech neuroprostheses, significantly reducing phoneme and word error rates.

Zhanqi Zhang, Shun Li, Bernardo L. Sabatini et al.

The cHM algorithm is a universal framework for continuous optimization, excelling on 28 benchmark functions.

Piotr A. Kowalski, Szymon Kucharczyk, Jacek Mańdziuk