Academic

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Academic · 1 min

Performance Evaluation of Open-Source Large Language Models for Assisting Pathology Report Writing in Japanese

arXiv:2603.11597v1 Announce Type: new Abstract: The performance of large language models (LLMs) for supporting pathology report writing in Japanese remains unexplored. We evaluated seven open-source …

Masataka Kawai, Singo Sakashita, Shumpei Ishikawa, Shogo Watanabe, Anna Matsuoka, Mikio Sakurai, Yasuto Fujimoto, Yoshiyuki Takahara, Atsushi Ohara, Hirohiko Miyake, Genichiro Ishii

8 views Mar 13

Academic · 1 min

QChunker: Learning Question-Aware Text Chunking for Domain RAG via Multi-Agent Debate

arXiv:2603.11650v1 Announce Type: new Abstract: The effectiveness upper bound of retrieval-augmented generation (RAG) is fundamentally constrained by the semantic integrity and information granularity of text …

Jihao Zhao, Daixuan Li, Pengfei Li, Shuaishuai Zu, Biao Qin, Hongyan Liu

6 views Mar 13

Academic · 1 min

Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge

arXiv:2603.11665v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have been widely adopted as MLLM-as-a-Judges due to their strong alignment with human judgment across …

Junjie Wu, Xuan Kan, Zihao He, Shunwen Tan, Bo Pan, Kaitai Zhang

6 views Mar 13

Academic · 1 min

A technology-oriented mapping of the language and translation industry: Analysing stakeholder values and their potential …

arXiv:2603.11667v1 Announce Type: new Abstract: This paper examines how value is constructed and negotiated in today's increasingly automated language and translation industry. Drawing on interview …

Mar\'ia Isabel Rivas Ginel, Jani\c{c}a Hackenbuchner, Alina Secar\u{a}, Ralph Kr\"uger, Caroline Rossi

14 views Mar 13

Academic · 1 min

In the LLM era, Word Sense Induction remains unsolved

arXiv:2603.11686v1 Announce Type: new Abstract: In the absence of sense-annotated data, word sense induction (WSI) is a compelling alternative to word sense disambiguation, particularly in …

Anna Mosolova, Marie Candito, Carlos Ramisch

7 views Mar 13

Academic · 1 min

SemBench: A Universal Semantic Framework for LLM Evaluation

arXiv:2603.11687v1 Announce Type: new Abstract: Recent progress in Natural Language Processing (NLP) has been driven by the emergence of Large Language Models (LLMs), which exhibit …

Mikel Zubillaga, Naiara Perez, Oscar Sainz, German Rigau

7 views Mar 13

Academic · 1 min

Semi-Synthetic Parallel Data for Translation Quality Estimation: A Case Study of Dataset Building for an …

arXiv:2603.11743v1 Announce Type: new Abstract: Quality estimation (QE) plays a crucial role in machine translation (MT) workflows, as it serves to evaluate generated outputs that …

Assaf Siani, Anna Kernerman, Ilan Kernerman

7 views Mar 13

Academic · 1 min

Compression Favors Consistency, Not Truth: When and Why Language Models Prefer Correct Information

arXiv:2603.11749v1 Announce Type: new Abstract: Why do language models sometimes prefer correct statements even when trained on mixed-quality data? We introduce the Compression--Consistency Principle: next-token …

Konstantin Krestnikov

6 views Mar 13

Academic · 1 min

Legal-DC: Benchmarking Retrieval-Augmented Generation for Legal Documents

arXiv:2603.11772v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has emerged as a promising technology for legal document consultation, yet its application in Chinese legal scenarios …

Yaocong Li, Qiang Lan, Leihan Zhang, Le Zhang

7 views Mar 13

Academic · 1 min

Trust Oriented Explainable AI for Fake News Detection

arXiv:2603.11778v1 Announce Type: new Abstract: This article examines the application of Explainable Artificial Intelligence (XAI) in NLP based fake news detection and compares selected interpretability …

Krzysztof Siwek, Daniel Stankowski, Maciej Stodolski

6 views Mar 13

Academic · 1 min

Large Language Models for Biomedical Article Classification

arXiv:2603.11780v1 Announce Type: new Abstract: This work presents a systematic and in-depth investigation of the utility of large language models as text classifiers for biomedical …

Jakub Proboszcz, Pawe{\l} Cichosz

8 views Mar 13

Academic · 1 min

DatedGPT: Preventing Lookahead Bias in Large Language Models with Time-Aware Pretraining

arXiv:2603.11838v1 Announce Type: new Abstract: In financial backtesting, large language models pretrained on internet-scale data risk introducing lookahead bias that undermines their forecasting validity, as …

Yutong Yan, Raphael Tang, Zhenyu Gao, Wenxi Jiang, Yao Lu

9 views Mar 13

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Academic

Performance Evaluation of Open-Source Large Language Models for Assisting Pathology Report Writing in Japanese

QChunker: Learning Question-Aware Text Chunking for Domain RAG via Multi-Agent Debate

Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge

A technology-oriented mapping of the language and translation industry: Analysing stakeholder values and their potential …

In the LLM era, Word Sense Induction remains unsolved

SemBench: A Universal Semantic Framework for LLM Evaluation

Semi-Synthetic Parallel Data for Translation Quality Estimation: A Case Study of Dataset Building for an …

Compression Favors Consistency, Not Truth: When and Why Language Models Prefer Correct Information

Legal-DC: Benchmarking Retrieval-Augmented Generation for Legal Documents

Trust Oriented Explainable AI for Fake News Detection

Large Language Models for Biomedical Article Classification

DatedGPT: Preventing Lookahead Bias in Large Language Models with Time-Aware Pretraining

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