Papers
Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning
Yexing Du, Youcheng Pan, Ziyang Ma et al.
Making LVLMs Look Twice: Contrastive Decoding with Contrast Images
Avshalom Manevich, Reut Tsarfaty
Making RALM Robust to Irrelevant Contexts via Layer Knowledge Guided Attention
Weijie Shi, Hao Chen, Jiaming Li et al.
Making Sense of Korean Sentences: A Comprehensive Evaluation of LLMs through KoSEnd Dataset
Seunguk Yu, Kyeonghyun Kim, JungMin Yun et al.
MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset
Sagi Shaier, George Arthur Baker, Chiranthan Sridhar et al.
MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation
Claudio Savelli, Alkis Koudounas, Flavio Giobergia
MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs
Claudio Savelli, Evren Munis, Erfan Bayat et al.
Mamba Knockout for Unraveling Factual Information Flow
Nir Endy, Idan Daniel Grosbard, Yuval Ran-Milo et al.
MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration
Yucheng Zhou, Lingran Song, Jianbing Shen
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale
Jiawei Guo, Tianyu Zheng, Yizhi Li et al.
MANBench: Is Your Multimodal Model Smarter than Human?
Han Zhou, Qitong Xu, Yiheng Dong et al.
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System
Haoyang Su, Renqi Chen, Shixiang Tang et al.
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation
Ching-Wen Yang, Zhi-Quan Feng, Ying-Jia Lin et al.
Map&Make: Schema Guided Text to Table Generation
Naman Ahuja, Fenil Bardoliya, Chitta Baral et al.
MapNav: A Novel Memory Representation via Annotated Semantic Maps for VLM-based Vision-and-Language Navigation
Lingfeng Zhang, Xiaoshuai Hao, Qinwen Xu et al.
MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning
Chanwoo Park, Seungju Han, Xingzhi Guo et al.
Mapping 1,000+ Language Models via the Log-Likelihood Vector
Momose Oyama, Hiroaki Yamagiwa, Yusuke Takase et al.
Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus
Benjamin Roger Litterer, David Jurgens, Dallas Card
MapQaTor: An Extensible Framework for Efficient Annotation of Map-Based QA Datasets
Mahir Labib Dihan, Mohammed Eunus Ali, Md Rizwan Parvez
MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment
Weicong Qin, Yi Xu, Weijie Yu et al.
Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language
Bo Zeng, Chenyang Lyu, Sinuo Liu et al.
Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models
Huifeng Yin, Yu Zhao, Minghao Wu et al.
MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering
Yiwei Fu, Yuxing Zhang, Chunchun Chen et al.
Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models
Maria Teleki, Xiangjue Dong, Haoran Liu et al.