Papers
MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
Xiaoyuan Li, Keqin Bao, Yubo Ma et al.
MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping
Wenjia Meng, Teng Zhang, Haoliang Sun et al.
MTRouter: Cost-Aware Multi-Turn LLM Routing with History–Model Joint Embeddings
Yiqun Zhang, Hao Li, Zihan Wang et al.
MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks
Junhao Ruan, Abudukeyumu Abudula, Bei Li et al.
MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training
Taicheng Guo, Hai Wang, Chaochun Liu et al.
MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training
Lianze Shan, Jitao Zhao, Dongxiao He et al.
MULSUM: A Multimodal Summarization System with Vis-Aligner and Diversity-Aware Image Selection
Abid Ali, Diego Molla, Usman Naseem
Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation
Jiaju Chen, Yuxuan Lu, Xiaojie Wang et al.
Multi-Agent Corridor Reasoning for Multi-Agent Path Finding
Yiran Ni, Deshi Ye
Multi-agent In-context Coordination via Decentralized Memory Retrieval
Tao Jiang, Zichuan Lin, Lihe Li et al.
Multi-Agent Path Finding with Unassigned Agents (MAPFUA)
Ariel Felner, Roni Stern
Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems
Zengyu Zou, Jingyuan Wang, Yixuan Huang et al.
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
Wangyang Ying, Yanchi Liu, Xujiang Zhao et al.
Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time Scaling
Florian Valentin Wunderlich, Lars Benedikt Kaesberg, Jan Philip Wahle et al.
Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets
Matan Levy, Itay Segev, Alexander Tuisov et al.
Multi-Agent Undercover Gaming: Hallucination Removal Through Counterfactual Test for Multimodal Reasoning
Dayong Liang, Xiao-Yong Wei, Changmeng Zheng
Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection
Han Wang, Deyi Ji, Junyu Lu et al.
Multi-Armed Bandits Meet Large Language Models
Djallel Bouneffouf, Raphael Feraud
Multi-Aspect Cross-modal Quantization for Generative Recommendation
Fuwei Zhang, Xiaoyu Liu, Dongbo Xi et al.
MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains
Leyan Xue, Changqing Zhang, Kecheng Xue et al.
MulTiCast: A Multimodal Time Series Forecasting System
Sehyuk Park, Caren Han, Hyunsuk Chung
Multicenter Morphometric Analysis of Stratum Corneum Nanotexture for Skin Barrier Assessment
Jen-Hung Wang, Chia-Yu Chu, Felipe Colombelli et al.
Multi-component Causal Tracing in Large Language Models
Zirui Yan, Dennis Wei, Dmitriy A Katz et al.
Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World Modeling
Ayan Sar, Pranav Singh Puri, Sumit Aich et al.