Academic

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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

13 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

13 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

11 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

14 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

3 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

6 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

8 views Mar 7

Academic · 1 min

Learning Ordinal Probabilistic Reward from Preferences

arXiv:2602.12660v1 Announce Type: new Abstract: Reward models are crucial for aligning large language models (LLMs) with human values and intentions. Existing approaches follow either Generative …

Longze Chen, Lu Wang, Renke Shan, Ze Gong, Run Luo, Jiaming Li, Jing Luo, Qiyao Wang, Min Yang

3 views Mar 7

Academic · 1 min

$\mathcal{X}$-KD: General Experiential Knowledge Distillation for Large Language Models

arXiv:2602.12674v1 Announce Type: new Abstract: Knowledge Distillation (KD) for Large Language Models (LLMs) has become increasingly important as models grow in size and complexity. While …

Yuang Cai, Yuyu Yuan

49 views Mar 7

Academic · 1 min

ReFilter: Improving Robustness of Retrieval-Augmented Generation via Gated Filter

arXiv:2602.12709v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) has become a dominant paradigm for grounding large language models (LLMs) with external evidence in knowledge-intensive question …

Yixin Chen, Ying Xiong, Shangyu Wu, Xiangrui Ke, Nan Guan, Chun Jason Xue

3 views Mar 7

Academic · 1 min

Lamer-SSL: Layer-aware Mixture of LoRA Experts for Continual Multilingual Expansion of Self-supervised Models without Forgetting

arXiv:2602.12746v1 Announce Type: new Abstract: Despite their impressive performance, self-supervised speech models often struggle to generalize to new languages and tend to forget previously acquired …

Jing Xu, Minglin Wu, Xueyuan Chen, Xixin Wu, Helen Meng

24 views Mar 7

Academic · 1 min

Towards a Diagnostic and Predictive Evaluation Methodology for Sequence Labeling Tasks

arXiv:2602.12759v1 Announce Type: new Abstract: Standard evaluation in NLP typically indicates that system A is better on average than system B, but it provides little …

Elena Alvarez-Mellado, Julio Gonzalo

3 views Mar 7

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Academic

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

Learning Ordinal Probabilistic Reward from Preferences

$\mathcal{X}$-KD: General Experiential Knowledge Distillation for Large Language Models

ReFilter: Improving Robustness of Retrieval-Augmented Generation via Gated Filter

Lamer-SSL: Layer-aware Mixture of LoRA Experts for Continual Multilingual Expansion of Self-supervised Models without Forgetting

Towards a Diagnostic and Predictive Evaluation Methodology for Sequence Labeling Tasks

JCG, PC

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