Papers
MGKM at StanceEval2024 Fine-Tuning Large Language Models for Arabic Stance Detection
Mamoun Alghaslan, Khaled Almutairy
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning
Inderjeet Nair, Lu Wang
MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction
William Hogan, Andrew Bartko, Jingbo Shang et al.
MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing
Jiaqi Li, Miaozeng Du, Chuanyi Zhang et al.
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
Yilin Wen, Zifeng Wang, Jimeng Sun
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering
Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang et al.
Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning
Hanqi Yan, Qinglin Zhu, Xinyu Wang et al.
Missci: Reconstructing Fallacies in Misrepresented Science
Max Glockner, Yufang Hou, Preslav Nakov et al.
Mission: Impossible Language Models
Julie Kallini, Isabel Papadimitriou, Richard Futrell et al.
MISTI: Metadata-Informed Scientific Text and Image Representation through Contrastive Learning
Pawin Taechoyotin, Daniel Acuna
MIST: Mutual Information Maximization for Short Text Clustering
Krissanee Kamthawee, Can Udomcharoenchaikit, Sarana Nutanong
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning
Chenyuan Wu, Gangwei Jiang, Defu Lian
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination
Nakyeong Yang, Taegwan Kang, Stanley Jungkyu Choi et al.
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models
Zhenyi Lu, Jie Tian, Wei Wei et al.
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
Jianheng Huang, Leyang Cui, Ante Wang et al.
Mitigating Data Scarcity in Semantic Parsing across Languages with the Multilingual Semantic Layer and its Dataset
Abelardo Carlos Martinez Lorenzo, Pere-Lluís Huguet Cabot, Karim Ghonim et al.
Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)
Avshalom Manevich, Reut Tsarfaty
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
Xintong Wang, Jingheng Pan, Liang Ding et al.
Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching
Xinwei Wu, Weilong Dong, Shaoyang Xu et al.
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
Qingyan Guo, Rui Wang, Junliang Guo et al.
Mitigating Semantic Leakage in Cross-lingual Embeddings via Orthogonality Constraint
Dayeon Ki, Cheonbok Park, Hyunjoong Kim
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
Ganesh Jawahar, Haichuan Yang, Yunyang Xiong et al.
MLBMIKABR at “Discharge Me!”: Concept Based Clinical Text Description Generation
Abir Naskar, Jane Hocking, Patty Chondros et al.
MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering
Dexuan Xu, Yanyuan Chen, Jieyi Wang et al.