Papers
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization
Shuyang Hao, Yiwei Wang, Bryan Hooi et al.
Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning
Chan Young Park, Jillian Fisher, Marius Memmel et al.
MALLM: Multi-Agent Large Language Models Framework
Jonas Becker, Lars Benedikt Kaesberg, Niklas Bauer et al.
Mamba Drafters for Speculative Decoding
Daewon Choi, Seunghyuk Oh, Saket Dingliwal et al.
MANTA: A Scalable Pipeline for Transmuting Massive Web Corpora into Instruction Datasets
Heuiyeen Yeen, Seokhee Hong, Hyeongu Yun et al.
ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework
Lisheng Huang, Yichen Liu, Jinhao Jiang et al.
Mapping semantic networks to Dutch word embeddings as a diagnostic tool for cognitive decline
Maithe van Noort, Michal Korenar, Jelke Bloem
Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improve Without Labels or Model Updates
Wen-Kwang Tsao, Yao-Ching Yu, Chien-Ming Huang
Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLMs
Zhen Xiong, Yujun Cai, Zhecheng Li et al.
Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
Jan Fillies, Michael Peter Hoffmann, Rebecca Reichel et al.
MarathiEmoExplain: A Dataset for Sentiment, Emotion, and Explanation in Low-Resource Marathi
Anuj Kumar, Mohammed Faisal Sayed, Satyadev Ahlawat et al.
Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support
Jan Trienes, Anastasiia Derzhanskaia, Roland Schwarzkopf et al.
Marco Large Translation Model at WMT2025: Transforming Translation Capability in LLMs via Quality-Aware Training and Decoding
Hao Wang, Linlong Xu, Heng Liu et al.
MARIO-0.5B: A Multi-Agent Lightweight Model for Real-Time Open Information Extraction in Low-Resource Settings
Donghai Zhang, SHuangtao Yang, Dong Xiaozheng et al.
MARS-Bench: A Multi-turn Athletic Real-world Scenario Benchmark for Dialogue Evaluation
Chenghao Yang, Yinbo Luo, Zhoufutu Wen et al.
MASA: LLM-Driven Multi-Agent Systems for Autoformalization
Lan Zhang, Marco Valentino, Andre Freitas
Mask and You Shall Receive: Optimizing Masked Language Modeling For Pretraining BabyLMs
Lukas Edman, Alexander Fraser
MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding
Jingyuan Deng, Yujiu Yang
Masked Diffusion Captioning for Visual Feature Learning
Chao Feng, Zihao Wei, Andrew Owens
Masked Diffusion Language Models with Frequency-Informed Training
Despoina Kosmopoulou, Efthymios Georgiou, Vaggelis Dorovatas et al.
[MASK]ED - Language Modeling for Explainable Classification and Disentangling of Socially Unacceptable Discourse.
Dimitra Niaouri, Mohamed Rayane Ghilene, Michele Linardi et al.
MASSIVE-Agents: A Benchmark for Multilingual Function-Calling in 52 Languages
Mayank Kulkarni, Vittorio Mazzia, Judith Gaspers et al.
Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality
Yuto Harada, Yusuke Yamauchi, Yusuke Oda et al.
MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language Models
Mugilan Ganesan, Shane Segal, Ankur Aggarwal et al.
MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures - A Comprehensive Framework
Yifan Zhu, Chao Zhang, Xin Shi et al.