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Twenty-Five Years of MIR Research: Achievements, Practices, Evaluations, and Future Challenges

Peeters, G., Rafii, Z., Fuentes, M., Duan, Z., Benetos, E., Nam, J., & Mitsufuji, Y. (2025) · arXiv

Statistical Mesh Shape Analysis with Nonlandmark Nonrigid Registration

Dupej, J., Krajicek, V., Veleminska, J., & Pelikan, J. (2014) · Eurographics Association

Congress: The Electoral Connection

Mayhew, D. (1974) · Yale Dataverse

Difference-in-Differences with Multiple Time Periods

Callaway, B., & Sant'Anna, P. H. C. (2018) · arXiv

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Guo, T., Guo, K., Nan, B., Liang, Z., Guo, Z., Chawla, N. V., Wiest, O., & Zhang, X. (2023) · arXiv

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models

Jia, Y., Jiang, K., Liang, Y., Ren, Q., Xin, Y., Yang, R., Feng, F., Chen, M., Lu, H., Wang, H., et al. (2025) · arXiv

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models

Ranade, P., Piplai, A., Mittal, S., Joshi, A., & Finin, T. (2021) · arXiv

Quliaq tohongniaq tuunga (making histories): towards a critical inuvialuit archaeology in the Canadian western arctic

Lyons, N. (2007) · University of Calgary

Ask Again, Then Fail: Large Language Models' Vacillations in Judgment

Xie, Q., Wang, Z., Feng, Y., & Xia, R. (2023) · arXiv

Two-Dimensional Quantum Walk of Correlated Photons

Jiao, Z.-Q., Gao, J., Zhou, W.-H., Wang, X.-W., Ren, R.-J., Xu, X.-Y., Qiao, L.-F., & Jin, X.-M. (2020) · arXiv

OMNI-LEAK: Orchestrator Multi-Agent Network Induced Data Leakage

Naik, A., Culligan, J., Gal, Y., Torr, P., Aljundi, R., Paren, A., & Bibi, A. (2026) · arXiv

Reasoning Runtime Behavior of a Program with LLM: How Far Are We?

Chen, J., Pan, Z., Hu, X., Li, Z., Li, G., & Xia, X. (2024) · arXiv

Axinellins A and B: New Proline-Containing Antiproliferative Cyclopeptides from the Vanuatu SpongeAxinella carteri

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Statistics for the Luria-Delbrück distribution

Hamon, A., & Ycart, B. (2012) · arXiv

On Verbalized Confidence Scores for LLMs

Yang, D., Tsai, Y.-H. H., & Yamada, M. (2024) · arXiv

SARS-CoV-2 escape in vitro from a highly neutralizing COVID-19 convalescent plasma

Andreano, E., Piccini, G., Licastro, D., Casalino, L., Johnson, N. V., Paciello, I., Monego, S. D., Pantano, E., Manganaro, N., Manenti, A., et al. (2020)

High rates of arc consumption by subduction processes: Some consequences

Lallemand, S. (1995) · Geology

Mem-World: Memory-Augmented Action-Conditioned World Models for Persistent Robot Manipulation

Zheng, Z., Yu, J., Peng, X., shi, J., Li, M., Zhang, C., Li, W., Wang, D., Lu, H., & Jia, X. (2026) · arXiv

Target specific peptide design using latent space approximate trajectory collector

Lin, T., Chen, S., Basu, R., Pei, D., Cheng, X., & Kara, L. B. (2023) · arXiv

Spin-orbit interactions of light

Bliokh, K. Y., Rodriguez-Fortuno, F. J., Nori, F., & Zayats, A. V. (2015) · arXiv

Using the ADI-R to diagnose autism in preschool children

Lord, C., Storoschuk, S., Rutter, M., & Pickles, A. (1993) · Infant Mental Health Journal

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Gao, S., Liang, W., Zheng, K., Malik, A., Ye, S., Yu, S., Tseng, W.-C., Dong, Y., Mo, K., Lin, C.-H., et al. (2026) · arXiv

Composite action in concrete filled tubes

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Efficiently Finding All Maximal alpha-gapped Repeats

Gawrychowski, P., I, T., Inenaga, S., Köppl, D., & Manea, F. (2016) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik