Proposes ARC: a unified block-coordinate descent framework combining adaptive robust loss, IRLS, and MWCD for joint state and covariance estimation, robust against outliers and non-Gaussian noise, with automatic parameter tuning.

Alexandre Hadji-Thomas, Andrew Stirling, James R. Forbes

ELVA employs a ranking-driven reinforcement learning framework with rule-based rewards, achieving 13.1% improvement on MRBench for multi-grain retrieval.

Yuhan Liu, Pei Fu, Hang Li et al.

Proposes the nine-dimensional Meaning Intelligence Framework (MIF) to distinguish surface sentiment from true intent in Nigerian discourse; zero-shot accuracy 33.3%, schema-guided 73.3%.

Celestine Achi

MACR framework resolves LLM knowledge conflicts via multi-agent reasoning, significantly improving accuracy.

Huang Peng, Jiuyang Tang, Weixin Zeng et al.

Post-processing symmetry averaging suppresses Trotter errors, improving fidelity in near-term quantum simulations.

Sangjin Lee, Sangkook Choi

ScholarQuest introduces a taxonomy-guided benchmark with over 1000 CS topics, four research intents, and automated answer construction, advancing systematic evaluation of academic search agents.

Tingyue Pan, Mingyue Cheng, Daoyu Wang et al.

Introduces inverse dynamics regularization in sensorimotor world models (SMWM), preventing representation collapse and improving control in offline, reward-free settings.

Petr Ivashkov, Randall Balestriero, Bernhard Schölkopf

Holo-World employs a unified control framework with residual subspaces to generate videos from a single image, enabling precise camera, object, and weather manipulation, trained on HoloStateData.

Xiangchen Yin, Wenzhang Sun, Jiahui Yuan et al.

The study reveals the hidden evolution of visual tokens in LLMs, comparing in-context and layer-wise injection methods.

Wish Suharitdamrong, Tony Alex, Xiatian Zhu et al.

MobileForge uses hierarchical feedback-guided policy optimization to adapt mobile GUI agents without annotations, achieving 67.2% Pass@3 on AndroidWorld.

Guangyi Liu, Pengxiang Zhao, Gao Wu et al.

CARE optimizes reasoning length in video-MLLMs via competence-aware reward shaping, enhancing accuracy and efficiency.

Chengwen Liu, Hao Peng, Jisheng Dang et al.

Proposed Multi-Agent Transactive Memory (MATM) enhances heterogeneous agent populations by sharing trajectories, improving success rate by 8% and reducing steps by 0.59 in interactive tasks.

To Eun Kim, Xuhong He, Dishank Jain et al.

Proposes a query-aware routing framework using lightweight regression models to optimize filtered ANN search, achieving superior recall-QPS balance across six datasets.

Qianqian Xiong, Mengxuan Zhang

Proposes Piecewise Polynomial Interpolation-based Gradient Descent (PPI-GD) achieving oracle complexity of O((p/ε)^{d/(2ℓ)}) for data dimension d=O(log^{0.49}(n)), outperforming classical GD/SGD.

Dongmin Lee, William Lu, Anuran Makur

Proposes a control-window law based on geometric cosine thresholds to predict single-neuron controllability, validated on 15 neurons with mean error 0.14.

Hongliang Liu

Introduces handoff validity concept, analyzing 82 LLM-based EDA systems across three boundary classes with a five-layer communication protocol.

Jiawei Liu, Peiyi Han, Yuntao Lu et al.

Occ-VLM achieves state-of-the-art multi-view occupancy prediction using a single 2D encoder for indoor scene understanding.

Jianing Li, Zhou Fang, Yijiang Liu et al.

Generated multilingual mental health dialogue datasets by modifying nationality and language parameters, revealing clinical inconsistency issues.

Yunkai Xu, Saeed Abdullah

ImageWAM uses image editing to replace video generation, enhancing robot action prediction efficiency and reducing FLOPs to 1/6.

Yuyang Zhang, Wenyao Zhang, Zekun Qi et al.

VeriBound explains FOVER-style transfer with PAC-Bayes theory, reaching 78.6% step verification accuracy.

Amirul Rahman, Mohammed Sabih Alsharari