Papers
LongWanjuan: Towards Systematic Measurement for Long Text Quality
Xiaoran Liu, Kai Lv, Qipeng Guo et al.
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh et al.
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference
Zhongwei Wan, Ziang Wu, Che Liu et al.
Look Who’s Talking Now: Covert Channels From Biased LLMs
Daniel Silva, Frederic Sala, Ryan Gabrys
LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters
Jiacheng Liu, Peng Tang, Xiaofeng Hou et al.
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models
Hayder Elesedy, Pedro M Esperanca, Silviu Vlad Oprea et al.
LoRAN: Improved Low-Rank Adaptation by a Non-Linear Transformation
Yinqiao Li, Linqi Song, Hanxu Hou
LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning
Siwei Li, Yifan Yang, Yifei Shen et al.
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts
Aditya Sharma, Michael Saxon, William Yang Wang
Lossy Context Surprisal Predicts Task-Dependent Patterns in Relative Clause Processing
Kate McCurdy, Michael Hahn
Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structures
Veronika Ganeeva, Andrey Sakhovskiy, Kuzma Khrabrov et al.
Low-Resource Machine Translation through the Lens of Personalized Federated Learning
Viktor Moskvoretskii, Nazarii Tupitsa, Chris Biemann et al.
LPZero: Language Model Zero-cost Proxy Search from Zero
Peijie Dong, Lujun Li, Xiang Liu et al.
LumberChunker: Long-Form Narrative Document Segmentation
André V. Duarte, João DS Marques, Miguel Graça et al.
LUQ: Long-text Uncertainty Quantification for LLMs
Caiqi Zhang, Fangyu Liu, Marco Basaldella et al.
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
Taowen Wang, Yiyang Liu, James Chenhao Liang et al.
M2QA: Multi-domain Multilingual Question Answering
Leon Engländer, Hannah Sterz, Clifton A Poth et al.
M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection
Chia-Wei Tang, Ting-Chih Chen, Kiet A. Nguyen et al.
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought
Gitanjali Kumari, Kirtan Jain, Asif Ekbal
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
Chuhan Li, Ziyao Shangguan, Yilun Zhao et al.
M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks
Florian Schneider, Sunayana Sitaram
mABC: Multi-Agent Blockchain-inspired Collaboration for Root Cause Analysis in Micro-Services Architecture
Wei Zhang, Hongcheng Guo, Jian Yang et al.
MACAROON: Training Vision-Language Models To Be Your Engaged Partners
Shujin Wu, Yi Fung, Sha Li et al.
Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning
Bin Wei, Zheng Jiawei, Zongyao Li et al.
Machine Translation Evaluation Benchmark for Wu Chinese: Workflow and Analysis
Hongjian Yu, Yiming Shi, Zherui Zhou et al.