StarHarness employs stratified search to evolve environment-specific harnesses, boosting performance by 20-35 points without changing model weights.

Esakkivel Esakkiraja, Denis Akhiyarov, Vikas Yadav et al.

CAFE framework enhances search agents via co-evolving feedback, excelling on seven benchmarks.

Boyang Liu, Senjie Jin, Peixin Wang et al.

Proposed MoE-based feature adapter for prompt-free binary coronary artery segmentation, significantly improving cross-dataset generalization.

Lin Xi, Yingliang Ma

Autoencoder-based latent cosine similarity quantifies image differences, achieving 98.4% class separation.

Manish Sharma, Timothy Yim, Clifton Forlines

Ensemble CNN achieves 99.52% accuracy in stroke prediction, outperforming individual models.

Md Shahriar Sajid

Unified Bayesian model for RAG evaluation, decomposing retrieval success, abstention, and correctness; reveals behavioral differences across 27 configurations.

Pius von Däniken, Felix Matthias Saaro, Mark Cieliebak et al.

Combines topic modeling and interviews to analyze three core debates shaping societal perceptions of AI.

Jacy Reese Anthis, Erik Brynjolfsson, James Evans

SkillForge continuously verifies and evolves skills, improving RL agent performance; achieves +6.3% success rate over SkillRL in ALFWorld.

Shidong Yang, Ziyu Ma, Tongwen Huang et al.

Proposes a contact-rich robot learning method using explicit physical interaction recognition, enabling robust one-shot task reproduction.

A. H. G. Overbeek, H. van der Kooij, M. Vlutters

GaussianWAM uses 3D Gaussian fields to enhance WAM's geometric and semantic representations, boosting success rates from 52.05% to 71.29%.

Zijian Zhang, Yuqing Jiang, Weitao Zhou et al.

OPDVR combines OPD and RLVR, achieving superior performance on six reasoning benchmarks.

Wenze Lin, Jiale Zhao, Xitai Jiang et al.

RED network employs recursive encoder and decoder to separate unknown number of speakers with variable microphones, achieving state-of-the-art results.

Fulin Wu, Zhong-Qiu Wang

Quantization effects on Bangla language: GPTQ-Int8 and GPTQ-Q8 maintain high accuracy on Bangla benchmarks.

Ismail Hossain, Nafi Ullah Shafin, Mohammad Abdullah Al Mumin

Proposes GVLA, integrating multi-gripper encoding and adapter routing, trained on MiGA dataset with 103,000 demonstrations, achieving 7.62% improvement over baselines.

Hanyi Zhang, Zihong Luo, Tianyu Li et al.

Develops a semiparametric efficiency framework for Verma constraints via graphical fixing, characterizing tangent space orthogonal complements for single constraints.

Razieh Nabi, Anna Guo, Lin Liu

X-MULTI leverages pretrained VLM to improve factor disentanglement in image synthesis, boosting novel combination accuracy by 12%.

Sonali Godavarthy, Matthias Neuwirth-Trapp, Tim-Felix Faasch et al.

MHA-CSP uses Mahalanobis distance for complex state propagation, with only 119K parameters.

Xiaohe Li

VideoHarness-RSI recursively optimizes context construction for frozen vision-language models to improve long-video understanding.

Guoyang Xu, Hao Chen

Proposes a trajectory cost-utility alignment framework to analyze LLM agent resource consumption and task contribution.

Dan Liu, Jian Li

ExMesh++ employs topology-adaptive explicit mesh reconstruction and UV-PBR decomposition, achieving high-accuracy geometry and relightable assets from multi-view images.

Chuanjin Fan, Lifan Wu, Wenjie Chang et al.