NLPExplorer

WS - 2025

Total Papers:- 2633

Total Papers accross all years:- 24930

Total Citations :- 0

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Mapping Cross-Lingual Sentence Representations for Low-Resource Language Pairs Using Pre-trained Language Models

Tsegaye Misikir Tashu | Andreea Ioana Tudor |

CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages

Tesla at GenAI Detection Task 2: Fast and Scalable Method for Detection of Academic Essay Authenticity

Vijayasaradhi Indurthi | Vasudeva Varma |

Evaluating Financial Literacy of Large Language Models through Domain Specific Languages for Plain Text Accounting

CNLP-NITS-PP at GenAI Detection Task 3: Cross-Domain Machine-Generated Text Detection Using DistilBERT Techniques

Sai Teja Lekkala | Annepaka Yadagiri | Mangadoddi Srikar Vardhan | Partha Pakray |

GraphRAG Analysis for Financial Narrative Summarization and A Framework for Optimizing Domain Adaptation

The Nakba Lexicon: Building a Comprehensive Dataset from Palestinian Literature

TaiwanVQA: A Benchmark for Visual Question Answering for Taiwanese Daily Life

Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain

Benno Uthayasooriyar | Antoine Ly | Franck Vermet | Caio Corro |

Leidos at GenAI Detection Task 3: A Weight-Balanced Transformer Approach for AI Generated Text Detection Across Domains

Abishek R. Edikala | Gregorios A. Katsios | Noelie Creaghe | Ning Yu |

Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types

Neelabh Sinha | Vinija Jain | Aman Chadha |

Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025)

Bengali ChartSumm: A Benchmark Dataset and study on feasibility of Large Language Models on Bengali Chart to Text Summarization

Exploiting Task Reversibility of DRS Parsing and Generation: Challenges and Insights from a Multi-lingual Perspective

Muhammad Saad Amin | Luca Anselma | Alessandro Mazzei |

Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning