Check a paper's citations and claims before you cite it.

Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Bhakthavatsalam, S., Khashabi, D., Khot, T., Mishra, B. D., Richardson, K., Sabharwal, A., Schoenick, C., Tafjord, O., & Clark, P. (2021) · arXiv

Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models

Patel, N., Kulkarni, M., Parmar, M., Budhiraja, A., Nakamura, M., Varshney, N., & Baral, C. (2024) · arXiv

Sentiment Analysis in the Era of Large Language Models: A Reality Check

Zhang, W., Deng, Y., Liu, B., Pan, S. J., & Bing, L. (2023) · arXiv

Should ChatGPT and bard share revenue with their data providers? A new business model for the AI era

Zhang, D. (2023) · arXiv

A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents

Newman, B., Soldaini, L., Fok, R., Cohan, A., & Lo, K. (2023) · arXiv

ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning

Lopez-Miguel, I. D., Happe, A., Cito, J., Bartocci, E., Könighofer, B., & Tappler, M. (2026) · arXiv

AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation

Wang, Z., Ma, D., Zhong, H., Li, J., Zhang, W., Wang, B., & He, C. (2026) · arXiv

H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark

LeGris, S., Vong, W. K., Lake, B. M., & Gureckis, T. M. (2024) · arXiv

SkillOps: Managing LLM Agent Skill Libraries as Self-Maintaining Software Ecosystems

Song, X., Pu, H., & Zhao, L. (2026) · arXiv

Computational Copyright: Towards A Royalty Model for Music Generative AI

Deng, J., Jiang, X., Zhang, S., Zhang, S., Lakkaraju, H., Gao, R., Donahue, C., & Ma, J. W. (2023) · arXiv

SinGAN: learning a generative model from a single natural image

Shaham, T. R., Dekel, T., & Michaeli, T. (2019) · arXiv

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Hubara, I., Courbariaux, M., Soudry, D., El-Yaniv, R., & Bengio, Y. (2016) · arXiv

Evaluating Language Models for Mathematics through Interactions

Collins, K. M., Jiang, A. Q., Frieder, S., Wong, L., Zilka, M., Bhatt, U., Lukasiewicz, T., Wu, Y., Tenenbaum, J. B., Hart, W., et al. (2023) · arXiv

A severity index for epidemiological surveys of female urinary incontinence: Comparison with 48-hour pad-weighing tests

Sandvik, H., Seim, A., Vanvik, A., & Hunskaar, S. (2000) · Neurourology and Urodynamics

WorkflowArena: Benchmarking Executable Workflow Orchestration in LLM-Based Multi-Agent Systems

Jiang, Z., Niu, F., Peng, B., Qian, H., Li, W., Hong, D., Gao, M., Chi, Y., Zheng, Y., Yang, K., et al. (2026) · arXiv

Improving biosensor analysis

Myszka, D. G. (1999) · Journal of Molecular Recognition

Polylactic Acid Technology

Drumright, R. E., Gruber, P. R., & Henton, D. E. (2000) · Advanced Materials

An Exact Apéry Limit for the AESZ 182 Calabi–Yau Recurrence

Shvets, A. (2026) · Zenodo

Oligodendrocytes as glucocorticoids target cells: functional analysis of the glycerol phosphate dehydrogenase gene

Cheng, J. D., & de Vellis, J. (2000) · Journal of Neuroscience Research

Music performance anxiety in choral singers

Stothert, W. B. N., & Moll, R. (2012) · Vancouver Island University

STEB: In Search of the Best Evaluation Approach for Synthetic Time Series

Stenger, M., Leppich, R., Bauer, A., & Kounev, S. (2025) · arXiv

RuleFlow : Generating Reusable Program Optimizations with LLMs

Singh, A., Bharadwaj, D., Baziotis, S., Varadharajan, K., & Mendis, C. (2026) · arXiv

The role of different cytochrome P450 isoforms in in vitro chloroform metabolism

Testai, E., De Curtis, V., Gemma, S., Fabrizi, L., Gervasi, P., & Vittozzi, L. (1996) · Journal of Biochemical Toxicology

Seeing through randomness with topological light

Peters, C., Everts, K., Kleine, T., Ornelas, P., & Forbes, A. (2025) · arXiv