Papers
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration
Ang Li, Jingqian Zhao, Bin Liang et al.
Mitigating Bias in Item Retrieval for Enhancing Exam Assembly in Vocational Education Services
Alonso Palomino, Andreas Fischer, David Buschhüter et al.
Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization
Zilu Tang, Rajen Chatterjee, Sarthak Garg
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
Kyungmin Min, Minbeom Kim, Kang-il Lee et al.
Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding
Xinhao Xu, Hui Chen, Mengyao Lyu et al.
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
Jiarui Wu, Zhuo Liu, Hangfeng He
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding
Jiang Li, Xiangdong Su, Guanglai Gao
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling
Yiwen Ding, Zhiheng Xi, Wei He et al.
MITRA-zh-eval: Using a Buddhist Chinese Language Evaluation Dataset to Assess Machine Translation and Evaluation Metrics
Sebastian Nehrdich, Avery Chen, Marcus Bingenheimer et al.
MixLLM: Dynamic Routing in Mixed Large Language Models
Xinyuan Wang, Yanchi Liu, Wei Cheng et al.
MixRevDetect: Towards Detecting AI-Generated Content in Hybrid Peer Reviews.
Sandeep Kumar, Samarth Garg, Sagnik Sengupta et al.
Mixture of Multimodal Adapters for Sentiment Analysis
Kezhou Chen, Shuo Wang, Huixia Ben et al.
MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding
Zayd Muhammad Kawakibi Zuhri, Muhammad Farid Adilazuarda, Ayu Purwarianti et al.
MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria
Wentao Ge, Shunian Chen, Hardy Chen et al.
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
Guoli Yin, Haoping Bai, Shuang Ma et al.
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation
Jinsheng Huang, Liang Chen, Taian Guo et al.
MMLF: Multi-query Multi-passage Late Fusion Retrieval
Yuan-Ching Kuo, Yi Yu, Chih-Ming Chen et al.
MNLP at PerAnsSumm: A Classifier-Refiner Architecture for Improving the Classification of Consumer Health User Responses
Jooyeon Lee, Luan Huy Pham, Özlem Uzuner
MNLP@DravidianLangTech 2025: A Deep Multimodal Neural Network for Hate Speech Detection in Dravidian Languages
Shraddha Chauhan, Abhinav Kumar
MNLP@DravidianLangTech 2025: Transformer-based Multimodal Framework for Misogyny Meme Detection
Shraddha Chauhan, Abhinav Kumar
MNLP@DravidianLangTech 2025: Transformers vs. Traditional Machine Learning: Analyzing Sentiment in Tamil Social Media Posts
Abhay Vishwakarma, Abhinav Kumar
MobA: Multifaceted Memory-Enhanced Adaptive Planning for Efficient Mobile Task Automation
Zichen Zhu, Hao Tang, Yansi Li et al.
MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation
Langlin Huang, Mengyu Bu, Yang Feng
MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts
Lin Ning, Harsh Lara, Meiqi Guo et al.
ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models
Nathan Andrew Chi, Teodor Malchev, Riley Kong et al.