Papers
Low-Resource Machine Translation Systems for Indic Languages
Ivana Kvapilíková, Ondřej Bojar
LowResourceNLU at BLP-2023 Task 1 & 2: Enhancing Sentiment Classification and Violence Incitement Detection in Bangla Through Aggregated Language Models
Hariram Veeramani, Surendrabikram Thapa, Usman Naseem
Low-Resource Text Style Transfer for Bangla: Data & Models
Sourabrata Mukherjee, Akanksha Bansal, Pritha Majumdar et al.
M1437 at BLP-2023 Task 2: Harnessing Bangla Text for Sentiment Analysis: A Transformer-based Approach
Majidur Rahman, Ozlem Uzuner
M2C: Towards Automatic Multimodal Manga Complement
Hongcheng Guo, Boyang Wang, Jiaqi Bai et al.
M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis
Fei Zhao, Chunhui Li, Zhen Wu et al.
M3Seg: A Maximum-Minimum Mutual Information Paradigm for Unsupervised Topic Segmentation in ASR Transcripts
Ke Wang, Xiutian Zhao, Yanghui Li et al.
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding
Haoyu Wang, Yaqing Wang, Huaxiu Yao et al.
Machine Reading Comprehension using Case-based Reasoning
Dung Thai, Dhruv Agarwal, Mudit Chaudhary et al.
Machine Translation Advancements for Low-Resource Indian Languages in WMT23: CFILT-IITB’s Effort for Bridging the Gap
Pranav Gaikwad, Meet Doshi, Sourabh Deoghare et al.
Machine Translation for Nko: Tools, Corpora, and Baseline Results
Moussa Doumbouya, Baba Mamadi Diané, Solo Farabado Cissé et al.
Machine Translation of Omani Arabic Dialect from Social Media
Khoula Al-Kharusi, Abdurahman AAlAbdulsalam
Machine Translation with Large Language Models: Prompting, Few-shot Learning, and Fine-tuning with QLoRA
Xuan Zhang, Navid Rajabi, Kevin Duh et al.
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space
Hanxing Ding, Liang Pang, Zihao Wei et al.
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation
Jia-Chen Gu, Chao-Hong Tan, Caiyuan Chu et al.
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models
Deepak Nathani, David Wang, Liangming Pan et al.
mAggretriever: A Simple yet Effective Approach to Zero-Shot Multilingual Dense Retrieval
Sheng-Chieh Lin, Amin Ahmad, Jimmy Lin
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations
Arkil Patel, Satwik Bhattamishra, Siva Reddy et al.
MailEx: Email Event and Argument Extraction
Saurabh Srivastava, Gaurav Singh, Shou Matsumoto et al.
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
Irina Bejan, Artem Sokolov, Katja Filippova
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making
Yanrui Du, Sendong Zhao, Haochun Wang et al.
Making Large Language Models Better Data Creators
Dong-Ho Lee, Jay Pujara, Mohit Sewak et al.
Mandarin classifier systems optimize to accommodate communicative pressures
Yamei Wang, Géraldine Walther
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding
Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty