Papers
LongTail-Swap: benchmarking language models’ abilities on rare words
Robin Algayres, Charles-Éric Saint-James, Mahi Luthra et al.
LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability
Zikai Xiao, Fei Huang, Jianhong Tu et al.
Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language Models
Pu Jian, Junhong Wu, Wei Sun et al.
Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo Query
Yixuan Wang, Shiyu Ji, Yijun Liu et al.
Look Beyond Feeling: Unveiling Latent Needs from Implicit Expressions for Proactive Emotional Support
Xing Fu, Haozhen Li, Bichen Wang et al.
Looking Beyond Text: Reducing Language Bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance
Haozhe Zhao, Shuzheng Si, Liang Chen et al.
Looking Beyond the Pixels: Evaluating Visual Metaphor Understanding in VLMs
Manishit Kundu, Sumit Shekhar, Pushpak Bhattacharyya
Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling
Bianca-Mihaela Ganescu, Suchir Salhan, Andrew Caines et al.
LoRACoE: Improving Large Language Model via Composition-based LoRA Expert
Guanyu Li, Zhiheng Xi, Zhihao Zhang et al.
LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning
Zhangming Li, Qinghao Hu, Yiqun Chen et al.
LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization
Yupeng Chang, Chenlu Guo, Yi Chang et al.
LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
Yining Huang, Bin Li, Keke Tang et al.
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
Hongyi Liu, Shaochen Zhong, Xintong Sun et al.
LORAXBENCH: A Multitask, Multilingual Benchmark Suite for 20 Indonesian Languages
Alham Fikri Aji, Trevor Cohn
LORE: Continual Logit Rewriting Fosters Faithful Generation
Charles Yu, Qingyun Wang, Yuting Hu et al.
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
Zehua Liu, Han Wu, Yuxuan Yao et al.
LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization
Xujia Wang, Yunjia Qi, Bin Xu
Lost in Embeddings: Information Loss in Vision–Language Models
Wenyan Li, Raphael Tang, Chengzu Li et al.
Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement
Haotan Guo, Jianfei He, Jiayuan Ma et al.
Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning
Hongyi Cai, Jie Li, Mohammad Mahdinur Rahman et al.
Low-Hallucination and Efficient Coreference Resolution with LLMs
Yujian Gan, Yuan Liang, Jinxia Xie et al.
Low-Resource Languages LLM Disinformation is Within Reach: The Case of Walliserdeutsch
Andrei Kucharavy, Sherine Seppey, Cyril Vallez et al.
LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models
Yungi Kim, Hyunsoo Ha, Seonghoon Yang et al.
LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo
Mandira Sawkar, Samay U. Shetty, Deepak Pandita et al.
LRPLAN: A Multi-Agent Collaboration of Large Language and Reasoning Models for Planning with Implicit & Explicit Constraints
T Karthikeyan, Om Dehlan, Mausam et al.