Papers
Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression
Sreetama Sarkar, Yue Che, Alex Gavin et al.
Mitigating Interviewer Bias in Multimodal Depression Detection: An Approach with Adversarial Learning and Contextual Positional Encoding
Enshi Zhang, Christian Poellabauer
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
Shuo Li, Jiajun Sun, Guodong Zheng et al.
Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models
Yunhai Hu, Zining Liu, Zhenyuan Dong et al.
Mitigating Spurious Correlations via Counterfactual Contrastive Learning
Fengxiang Cheng, Chuan Zhou, Xiang Li et al.
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
Shenglai Zeng, Jiankun Zhang, Pengfei He et al.
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
Junda Wu, Yuxin Xiong, Xintong Li et al.
Mixed Signals: Decoding VLMs’ Reasoning and Underlying Bias in Vision-Language Conflict
Pouya Pezeshkpour, Moin Aminnaseri, Estevam Hruschka
Mixing Inference-time Experts for Enhancing LLM Reasoning
Soumya Sanyal, Tianyi Xiao, Xiang Ren
MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora
Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang et al.
Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning
Sugyeong Eo, Jung Jun Lee, Chanjun Park et al.
Mixture of Languages: Improved Multilingual Encoders Through Language Grouping
João Maria Janeiro, Belen Alastruey, Francisco Massa et al.
Mixture of Length and Pruning Experts for Knowledge Graphs Reasoning
Enjun Du, Siyi Liu, Yongqi Zhang
Mixture of LoRA Experts for Continual Information Extraction with LLMs
Zitao Wang, Xinyi Wang, Wei Hu
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization
Guanghui Song, Dongping Liao, Yiren Zhao et al.
MKT: A Multi-Stage Knowledge Transfer Framework to Mitigate Catastrophic Forgetting in Multi-Domain Chinese Spelling Correction
Peng Xing, Yinghui Li, Shirong Ma et al.
MLAlgo-Bench: Can Machines Implement Machine Learning Algorithms?
Yunfei Wang, Yeqin Zhang, Yuyang Wu et al.
M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
Yew Ken Chia, Liying Cheng, Hou Pong Chan et al.
ML-Promise: A Multilingual Dataset for Corporate Promise Verification
Yohei Seki, Hakusen Shu, Anaïs Lhuissier et al.
MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization
Chun Hu, Junhui He, Shangyu Wu et al.
MMA: Cross-Domain Knowledge Integration via Mixture of Multi-Domain Agents
Kehang Jia, Juntao Li, Xiaobo Liang et al.
MMAG: Multimodal Learning for Mucus Anomaly Grading in Nasal Endoscopy via Semantic Attribute Prompting
Xinpan Yuan, Mingzhu Huang, Liujie Hua et al.
MMAPG: A Training-Free Framework for Multimodal Multi-hop Question Answering via Adaptive Planning Graphs
Yiheng Hu, Xiaoyang Wang, Qing Liu et al.
MMATH: A Multilingual Benchmark for Mathematical Reasoning
Wenyang Luo, Wayne Xin Zhao, Jing Sha et al.
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
Gailun Zeng, Ziyang Luo, Hongzhan Lin et al.