Papers
LongSafety: Enhance Safety for Long-Context LLMs
Mianqiu Huang, Xiaoran Liu, Shaojun Zhou et al.
LongSafety: Evaluating Long-Context Safety of Large Language Models
Yida Lu, Jiale Cheng, Zhexin Zhang et al.
Long-Term Development of Attitudes towards Schizophrenia and Depression in Scientific Abstracts
Ivan Nenchev, Tatjana Scheffler, Lisa Raithel et al.
LookAlike: Consistent Distractor Generation in Math MCQs
Nisarg Parikh, Alexander Scarlatos, Nigel Fernandez et al.
Look Both Ways and No Sink: Converting LLMs into Text Encoders without Training
Ziyong Lin, Haoyi Wu, Shu Wang et al.
Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation
Yunsoo Kim, Jinge Wu, Su Hwan Kim et al.
LoRMA: Low-Rank Multiplicative Adaptation for LLMs
Harsh Bihany, Shubham Patel, Ashutosh Modi
Lost and Found: Computational Quality Assurance of Crowdsourced Knowledge on Morphological Defectivity in Wiktionary
Jonathan Sakunkoo, Annabella Sakunkoo
Lost in Literalism: How Supervised Training Shapes Translationese in LLMs
Yafu Li, Ronghao Zhang, Zhilin Wang et al.
Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models
Mingyang Wang, Heike Adel, Lukas Lange et al.
Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling
Shihan Dou, Jiayi Chen, Chenhao Huang et al.
Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models
Hanin Atwany, Abdul Waheed, Rita Singh et al.
Lost in Translation: Benchmarking Commercial Machine Translation Models for Dyslexic-Style Text
Gregory Price, Shaomei Wu
Lost in Variation? Evaluating NLI Performance in Basque and Spanish Geographical Variants
Jaione Bengoetxea, Itziar Gonzalez-Dios, Rodrigo Agerri
LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences
Yusuke Hirota, Boyi Li, Ryo Hachiuma et al.
Lotus at SemEval-2025 Task 11: RoBERTa with Llama-3 Generated Explanations for Multi-Label Emotion Classification
Niloofar Ranjbar, Hamed Baghbani
Low-Bit Quantization Favors Undertrained LLMs
Xu Ouyang, Tao Ge, Thomas Hartvigsen et al.
Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector
Beining Huang, Du Su, Fei Sun et al.
Low-Perplexity LLM-Generated Sequences and Where To Find Them
Arthur Wuhrmann, Andrei Kucharavy, Anastasiia Kucherenko
Low-Rank Interconnected Adaptation across Layers
Yibo Zhong, Jinman Zhao, Yao Zhou
Low-resource Buryat-Russian neural machine translation
Dari Baturova, Sarana Abidueva, Dmitrii Lichko et al.
Low-Resource Grammatical Error Correction: Selective Data Augmentation with Round-Trip Machine Translation
Frank Palma Gomez, Alla Rozovskaya
Loyola at ArchEHR-QA 2025: Exploring Unsupervised Attribution of Generated Text: Attention and Clustering-Based Methods
Rohan Sethi, Timothy A. Miller, Majid Afshar et al.
LPOI: Listwise Preference Optimization for Vision Language Models
Fatemeh Pesaran Zadeh, Yoojin Oh, Gunhee Kim
LR²Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems
Jianghao Chen, Zhenlin Wei, Zhenjiang Ren et al.