Papers
Language Model-Driven Data Pruning Enables Efficient Active Learning
Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza
Language Technology Initiative: Framework for Teaching NLP and Computational Linguistics at the Universities in Latvia
Inguna Skadina, Jana Kuzmina, Marina Platonova et al.
LARA: LLM-based Agile Power Distribution Network Restoration from Disastrous Events
Jishnu Warrier, Heqing Huang, Yuzhang Lin et al.
Large Language Models as Oracles for Ontology Alignment
Sviatoslav Lushnei, Dmytro Shumskyi, Severyn Shykula et al.
Large Language Models for Mental Health: A Multilingual Evaluation
Nishat Raihan, Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur et al.
Large Language Models Put to the Test on Chinese Noun Compounds: Experiments on Natural Language Inference and Compound Semantics
Le Qiu, Emmanuele Chersoni, He Zhou et al.
Layer-wise Swapping for Generalizable Multilingual Safety
Hyunseo Shin, Wonseok Hwang
Learning from Child-directed Speech in Two-language Scenarios: A French-English Case-Study
Liel Binyamin, Elior Sulem
Learning from Scarcity: Building and Benchmarking Speech Technology for Sukuma.
Macton Mgonzo, Kezia Oketch, Naome A Etori et al.
Learning Multilingual Agentic Policy to Control Sycophancy
Leonardo Ranaldi, Giulia Pucci
Learning Nested Named Entity Recognition from Flat Annotations
Igor Rozhkov, Natalia V Loukachevitch
Learning to Ask: Multi-Decoder Fine-Tuning for Multi-Hop Visual Question Generation with External Knowledge
Arpan Phukan, Manish Gupta, Asif Ekbal
Learning to Ideate for Machine Learning Engineering Agents
Yunxiang Zhang, Kang Zhou, Zhichao Xu et al.
Learning to Judge: LLMs Designing and Applying Evaluation Rubrics
Clemencia Siro, Pourya Aliannejadi, Mohammad Aliannejadi
Learning When to Personalize: LLM Based Playlist Generation via Query Taxonomy and Classification
Fedor Buzaev, Ivan Sukharev, Rinat Mullahmetov et al.
LEMUR: A Corpus for Robust Fine-Tuning of Multilingual Law Embedding Models for Retrieval
Narges Baba Ahmadi, Jan Strich, Martin Semmann et al.
Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data
Zaruhi Navasardyan, Bagratuni Minsayan, Spartak Bughdaryan et al.
Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization
Kushal Chawla, Chenyang Zhu, Pengshan Cai et al.
Let’s Put Ourselves in Sally’s Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language Models
Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida et al.
Let’s Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence Simplification
Jingshen Zhang, Xin Ying Qiu, Lifang Lu et al.
Leveraging CoHere Multilingual Embeddings and Inverted Softmax Retrieval for Automatic Parallel Sentence Alignment in Low-Resource Languages
Abubakar Auwal Khalid, Salisu Musa Borodo, Amina Abubakar Imam
Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages
Noam Dahan, Omer Kidron, Gabriel Stanovsky
Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
Hussein Abdallah, Ibrahim Abdelaziz, Panos Kalnis et al.
Leveraging Wikidata for Geographically Informed Sociocultural Bias Dataset Creation: Application to Latin America
Yannis Karmim, Renato Pino, Hernan Contreras et al.
Lexical Popularity: Quantifying the Impact of Pre-training for LLM Performance
Elena Sofia Ruzzetti, Fabio Massimo Zanzotto, Tommaso Caselli