Papers
Maximizing utility in multi-agent environments by anticipating the behavior of other learners
Angelos Assos, Yuval Dagan, Constantinos Daskalakis
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
Sangwoong Yoon, Himchan Hwang, Dohyun Kwon et al.
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
Chen-Hao Chao, Chien Feng, Wei-Fang Sun et al.
MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
Guanghao Zheng, Yuchen Liu, Wenrui Dai et al.
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
Yubin Kim, Chanwoo Park, Hyewon Jeong et al.
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
Ziang Chen, Rong Ge
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
Guillaume Wang, Alireza Mousavi-Hosseini, Lénaïc Chizat
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
Kai Xiong, Xiao Ding, Ting Liu et al.
Measuring Dejavu Memorization Efficiently
Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes et al.
Measuring Goal-Directedness
Matt MacDermott, James Fox, Francesco Belardinelli et al.
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset
Ke Wang, Junting Pan, Weikang Shi et al.
Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration
Haowen Dou, Lujuan Dang, Zhirong Luan et al.
Measuring Per-Unit Interpretability at Scale Without Humans
Roland S. Zimmermann, David Klindt, Wieland Brendel
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
Adam Karvonen, Benjamin Wright, Can Rager et al.
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
Tieyuan Chen, Huabin Liu, Tianyao He et al.
Mechanism design augmented with output advice
George Christodoulou, Alkmini Sgouritsa, Ioannis Vlachos
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
Nikhil Khandekar, Qiao Jin, Guangzhi Xiong et al.
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
Yihe Wang, Nan Huang, Taida Li et al.
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng et al.
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey
Xian Wu, Yutian Zhao, Yunyan Zhang et al.
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
Keying Kuang, Frances Dean, Jack B. Jedlicki et al.
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models
Tessa Han, Aounon Kumar, Chirag Agarwal et al.
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong et al.
MeLLoC: Lossless Compression with High-order Mechanism Learning
Xinyue Luo, Jin Cheng, Yu Chen
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
Rakshit S Trivedi, Akbir Khan, Jesse Clifton et al.