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Academic · 1 min

RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty

arXiv:2602.12424v1 Announce Type: cross Abstract: Benchmarks establish a standardized evaluation framework to systematically assess the performance of large language models (LLMs), facilitating objective comparisons and …

Ziqian Zhang, Xingjian Hu, Yue Huang, Kai Zhang, Ruoxi Chen, Yixin Liu, Qingsong Wen, Kaidi Xu, Xiangliang Zhang, Neil Zhenqiang Gong, Lichao Sun

21 views Mar 7

Academic · 1 min

Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

arXiv:2602.12430v2 Announce Type: cross Abstract: The transition from monolithic language models to modular, skill-equipped agents marks a defining shift in how large language models (LLMs) …

Renjun Xu, Yang Yan

23 views Mar 7

Academic · 1 min

Safe Reinforcement Learning via Recovery-based Shielding with Gaussian Process Dynamics Models

arXiv:2602.12444v1 Announce Type: cross Abstract: Reinforcement learning (RL) is a powerful framework for optimal decision-making and control but often lacks provable guarantees for safety-critical applications. …

Alexander W. Goodall, Francesco Belardinelli

19 views Mar 7

Academic · 1 min

Correctness, Artificial Intelligence, and the Epistemic Value of Mathematical Proof

arXiv:2602.12463v1 Announce Type: cross Abstract: We argue that it is neither necessary nor sufficient for a mathematical proof to have epistemic value that it be …

James Owen Weatherall, Jesse Wolfson

5 views Mar 7

Academic · 1 min

Designing RNAs with Language Models

arXiv:2602.12470v1 Announce Type: cross Abstract: RNA design, the task of finding a sequence that folds into a target secondary structure, has broad biological and biomedical …

Milan Gautam, Ning Dai, Tianshuo Zhou, Bowen Xie, David Mathews, Liang Huang

10 views Mar 7

Academic · 1 min

Grandes Modelos de Linguagem Multimodais (MLLMs): Da Teoria \`a Pr\'atica

arXiv:2602.12302v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) combine the natural language understanding and generation capabilities of LLMs with perception skills in modalities …

Neemias da Silva, J\'ulio C. W. Scholz, John Harrison, Marina Borges, Paulo \'Avila, Frances A Santos, Myriam Delgado, Rodrigo Minetto, Thiago H Silva

14 views Mar 7

Academic · 1 min

propella-1: Multi-Property Document Annotation for LLM Data Curation at Scale

arXiv:2602.12414v1 Announce Type: new Abstract: Since FineWeb-Edu, data curation for LLM pretraining has predominantly relied on single scalar quality scores produced by small classifiers. A …

Maximilian Idahl, Benedikt Droste, Bj\"orn Pl\"uster, Jan Philipp Harries

14 views Mar 7

Academic · 1 min

RBCorr: Response Bias Correction in Language Models

arXiv:2602.12445v1 Announce Type: new Abstract: Language models (LMs) are known to be prone to response biases, which present as option preference biases in fixed-response questions. …

Om Bhatt, Anna A. Ivanova

12 views Mar 7

Academic · 1 min

Discovering Semantic Latent Structures in Psychological Scales: A Response-Free Pathway to Efficient Simplification

arXiv:2602.12575v1 Announce Type: new Abstract: Psychological scale refinement traditionally relies on response-based methods such as factor analysis, item response theory, and network psychometrics to optimize …

Bo Wang, Yuxuan Zhang, Yueqin Hu, Hanchao Hou, Kaiping Peng, Shiguang Ni

15 views Mar 7

Academic · 1 min

Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats

arXiv:2602.12635v1 Announce Type: new Abstract: As LLMs scale, low-bit floating-point formats like MXFP and NVFP4 offer new opportunities for precision and efficiency. In this work, …

Pengxiang Zhao, Hui-Ling Zhen, Xing Li, Han Bao, Weizhe Lin, Zhiyuan Yang, Ziwei Yu, Xin Wang, Mingxuan Yuan, Xianzhi Yu, Zhenhua Dong

5 views Mar 7

Academic · 1 min

CLASE: A Hybrid Method for Chinese Legalese Stylistic Evaluation

arXiv:2602.12639v1 Announce Type: new Abstract: Legal text generated by large language models (LLMs) can usually achieve reasonable factual accuracy, but it frequently fails to adhere …

Yiran Rex Ma, Yuxiao Ye, Huiyuan Xie

8 views Mar 7

Academic · 1 min

Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR

arXiv:2602.12642v1 Announce Type: new Abstract: Reward-maximizing RL methods enhance the reasoning performance of LLMs, but often reduce the diversity among outputs. Recent works address this …

Dohyung Kim, Minbeom Kim, Jeonghye Kim, Sangmook Lee, Sojeong Rhee, Kyomin Jung

13 views Mar 7

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Articles

RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty

Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Safe Reinforcement Learning via Recovery-based Shielding with Gaussian Process Dynamics Models

Correctness, Artificial Intelligence, and the Epistemic Value of Mathematical Proof

Designing RNAs with Language Models

Grandes Modelos de Linguagem Multimodais (MLLMs): Da Teoria \`a Pr\'atica

propella-1: Multi-Property Document Annotation for LLM Data Curation at Scale

RBCorr: Response Bias Correction in Language Models

Discovering Semantic Latent Structures in Psychological Scales: A Response-Free Pathway to Efficient Simplification

Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats

CLASE: A Hybrid Method for Chinese Legalese Stylistic Evaluation

Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR

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