Academic

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Academic · 1 min

A Benchmark of Classical and Deep Learning Models for Agricultural Commodity Price Forecasting on A …

arXiv:2604.06227v1 Announce Type: new Abstract: Accurate short-term forecasting of agricultural commodity prices is critical for food security planning and smallholder income stabilisation in developing economies, …

Tashreef Muhammad, Tahsin Ahmed, Meherun Farzana, Md. Mahmudul Hasan, Abrar Eyasir, Md. Emon Khan, Mahafuzul Islam Shawon, Ferdous Mondol, Mahmudul Hasan, Muhammad Ibrahim

50 views Apr 9

Academic · 1 min

$S^3$: Stratified Scaling Search for Test-Time in Diffusion Language Models

arXiv:2604.06260v1 Announce Type: new Abstract: Test-time scaling investigates whether a fixed diffusion language model (DLM) can generate better outputs when given more inference compute, without …

Ahsan Bilal, Muhammad Ahmed Mohsin, Muhammad Umer, Asad Aali, Muhammad Usman Khanzada, Muhammad Usman Rafique, Zihao He, Emily Fox, Dean F. Hougen

61 views Apr 9

Academic · 1 min

MedConclusion: A Benchmark for Biomedical Conclusion Generation from Structured Abstracts

arXiv:2604.06505v1 Announce Type: new Abstract: Large language models (LLMs) are widely explored for reasoning-intensive research tasks, yet resources for testing whether they can infer scientific …

Weiyue Li, Ruizhi Qian, Yi Li, Yongce Li, Yunfan Long, Jiahui Cai, Yan Luo, Mengyu Wang

62 views Apr 9

Academic · 1 min

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees

arXiv:2604.06515v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) allows scaling of language and vision models efficiently by activating only a small subset of experts per …

Mohammed Nowaz Rabbani Chowdhury, Kaoutar El Maghraoui, Hsinyu Tsai, Naigang Wang, Geoffrey W. Burr, Liu Liu, Meng Wang

78 views Apr 9

Academic · 1 min

Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning

arXiv:2604.05834v1 Announce Type: new Abstract: Multimodal contrastive learning is increasingly enriched by going beyond image-text pairs. Among recent contrastive methods, Symile is a strong approach …

Tillmann Rheude, Stefan Hegselmann, Roland Eils, Benjamin Wild

36 views Apr 8

Academic · 1 min

A Theoretical Framework for Statistical Evaluability of Generative Models

arXiv:2604.05324v1 Announce Type: new Abstract: Statistical evaluation aims to estimate the generalization performance of a model using held-out i.i.d.\ test data sampled from the ground-truth …

Shashaank Aiyer, Yishay Mansour, Shay Moran, Han Shao

58 views Apr 8

Academic · 1 min

Beyond LLM-as-a-Judge: Deterministic Metrics for Multilingual Generative Text Evaluation

arXiv:2604.05083v1 Announce Type: new Abstract: While Large Language Models (LLMs) are increasingly adopted as automated judges for evaluating generated text, their outputs are often costly, …

Firoj Alam, Gagan Bhatia, Sahinur Rahman Laskar, Shammur Absar Chowdhury

29 views Apr 8

Academic · 1 min

YoNER: A New Yor\`ub\'a Multi-domain Named Entity Recognition Dataset

arXiv:2604.05624v1 Announce Type: new Abstract: Named Entity Recognition (NER) is a foundational NLP task, yet research in Yor\`ub\'a has been constrained by limited and domain-specific …

Peace Busola Falola, Jesujoba O. Alabi, Solomon O. Akinola, Folashade T. Ogunajo, Emmanuel Oluwadunsin Alabi, David Ifeoluwa Adelani

26 views Apr 8

Academic · 1 min

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models

arXiv:2604.05497v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) are emerging as promising alternatives to autoregressive (AR) LLMs. Recently, this paradigm has been extended …

Keuntae Kim, Mingyu Kang, Yong Suk Choi

41 views Apr 8

Academic · 1 min

Proximity Measure of Information Object Features for Solving the Problem of Their Identification in Information …

arXiv:2604.04939v1 Announce Type: new Abstract: The paper considers a new quantitative-qualitative proximity measure for the features of information objects, where data enters a common information …

Volodymyr Yuzefovych

28 views Apr 8

Academic · 1 min

MedLayBench-V: A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Models

arXiv:2604.05738v1 Announce Type: new Abstract: Medical Vision-Language Models (Med-VLMs) have achieved expert-level proficiency in interpreting diagnostic imaging. However, current models are predominantly trained on professional …

Han Jang, Junhyeok Lee, Heeseong Eum, Kyu Sung Choi

31 views Apr 8

Academic · 1 min

This Treatment Works, Right? Evaluating LLM Sensitivity to Patient Question Framing in Medical QA

arXiv:2604.05051v1 Announce Type: new Abstract: Patients are increasingly turning to large language models (LLMs) with medical questions that are complex and difficult to articulate clearly. …

Hye Sun Yun, Geetika Kapoor, Michael Mackert, Ramez Kouzy, Wei Xu, Junyi Jessy Li, Byron C. Wallace

42 views Apr 8

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Academic

A Benchmark of Classical and Deep Learning Models for Agricultural Commodity Price Forecasting on A …

$S^3$: Stratified Scaling Search for Test-Time in Diffusion Language Models

MedConclusion: A Benchmark for Biomedical Conclusion Generation from Structured Abstracts

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees

Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning

A Theoretical Framework for Statistical Evaluability of Generative Models

Beyond LLM-as-a-Judge: Deterministic Metrics for Multilingual Generative Text Evaluation

YoNER: A New Yor\`ub\'a Multi-domain Named Entity Recognition Dataset

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models

Proximity Measure of Information Object Features for Solving the Problem of Their Identification in Information …

MedLayBench-V: A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Models

This Treatment Works, Right? Evaluating LLM Sensitivity to Patient Question Framing in Medical QA

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