Study shows architecture choice crucial for symbolic regression target recovery using EML operator.

Chakshu Gupta

Proposed a Collocation-based Robust Physics-Informed Neural Network (CRVPINN) for simulating pollution propagation under thermal inversion conditions on Spitsbergen.

Leszek Siwik, Maciej Sikora, Natalia Leszczyńska et al.

Budget-efficient scaling law fitting via active experiment selection achieves full dataset performance using only 10% of the budget.

Sijie Li, Shanda Li, Haowei Lin et al.

Study reveals representational harms in LLM narratives against Global Majority nationalities using a QA model on 500,000 stories.

Ilana Nguyen, Harini Suresh, Thema Monroe-White et al.

Proved the undecidability of the plan existence problem even with modal depth at most 1 and no postconditions.

Antonis Achilleos

Using BantuMorph v7, a neural model recovers historical lexical structures in Bantu languages from modern data, confirming 90.9% noun candidates align with Proto-Bantu forms.

Hillary Mutisya, John Mugane

GCImOpt learns efficient goal-conditioned policies by imitating optimal trajectories, significantly improving control task success rates and efficiency.

Jon Goikoetxea, Jesús F. Palacián

Zero-shot morphological discovery in low-resource Bantu languages via cross-lingual transfer and unsupervised clustering.

Hillary Mutisya, John Mugane

Aligning Dense Retrievers with LLM Utility via Distillation, UAE improves Recall@1 by 30.59% on QASPER benchmark.

Rajinder Sandhu, Di Mu, Cheng Chang et al.

Introduces a time-localized parametric decomposition method for respiratory airflow analysis, achieving reconstruction error <0.001.

Victoria Ribeiro Rodrigues, Paul W. Davenport, Nicholas J. Napoli

CRAFT method enhances BLEU score by 2.13 points in English-Hindi translation through clustered regression for adaptive filtering.

Parthasarathi Panda, Asheswari Swain, Subhrakanta Panda

SS3D achieves end-to-end self-supervised 3D estimation from monocular video using the YouTube-8M dataset.

Marwane Hariat, Gianni Franchi, David Filliat et al.

BERAG improves retrieval-augmented generation with Bayesian ensemble, significantly enhancing knowledge-based visual question answering performance.

Jinghong Chen, Jingbiao Mei, Guangyu Yang et al.

WG-SRC provides operational feature fingerprints for graph datasets using a white-box signal-subspace probe, enhancing node classification accuracy.

Yuchen Xiong, Swee Keong Yeap, Zhen Hong Ban

Evaluates eight Shapley variants' human utility in high-risk settings, revealing misalignment between current metrics and human perception.

Inês Oliveira e Silva, Sérgio Jesus, Iker Perez et al.

Research evaluates QPP for selecting the best query variant in RAG pipelines to enhance generation quality.

Negar Arabzadeh, Andrew Drozdov, Michael Bendersky et al.

PASR achieves 81.59% Top-1 retrieval accuracy on Pix3D and 76.43% on Pascal3D datasets.

Jiaxin Shi, Guofeng Zhang, Wufei Ma et al.

Utilizing TARA framework for non-invasive 3D identification of group-housed livestock, achieving 100% accuracy.

Shiva Paudel, TsungCheng Tsai, Dongyi Wang

The Structure-Guided Diffusion Model (SGDM) integrates structural information to enhance EEG-based visual reconstruction fidelity.

Yongxiang Lian, Yueyang Cang, Pingge Hu et al.

CLVAE model uses a variational autoencoder for long-term customer revenue forecasting, enhancing accuracy.

Jeffrey Näf, Riana Valera Mbelson, Markus Meierer