Papers
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.
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models
Kenza Benkirane, Laura Gongas, Shahar Pelles et al.
Machine Translation Metrics Are Better in Evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems
Eleftherios Avramidis, Shushen Manakhimova, Vivien Macketanz et al.
Machine Translation Of Marathi Dialects: A Case Study Of Kadodi
Raj Dabre, Mary Dabre, Teresa Pereira
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration
Lin Xu, Zhiyuan Hu, Daquan Zhou et al.
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
Weiwei Sun, Zhengliang Shi, Wu Jiu Long et al.
Major Entity Identification: A Generalizable Alternative to Coreference Resolution
Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi et al.