Papers
Manipulating the Perceived Personality Traits of Language Models
Graham Caron, Shashank Srivastava
MaNtLE: Model-agnostic Natural Language Explainer
Rakesh Menon, Kerem Zaman, Shashank Srivastava
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Yuyan Chen, Zhihao Wen, Ge Fan et al.
MarkQA: A large scale KBQA dataset with numerical reasoning
Xiang Huang, Sitao Cheng, Yuheng Bao et al.
Masked Path Modeling for Vision-and-Language Navigation
Zi-Yi Dou, Feng Gao, Nanyun Peng
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems
Jakub Macina, Nico Daheim, Sankalan Chowdhury et al.
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding
Steven Wang, Antoine Scardigli, Leonard Tang et al.
Mavericks at ArAIEval Shared Task: Towards a Safer Digital Space - Transformer Ensemble Models Tackling Deception and Persuasion
Sudeep Mangalvedhekar, Kshitij Deshpande, Yash Patwardhan et al.
Mavericks at BLP-2023 Task 1: Ensemble-based Approach Using Language Models for Violence Inciting Text Detection
Saurabh Page, Sudeep Mangalvedhekar, Kshitij Deshpande et al.
Mavericks at NADI 2023 Shared Task: Unravelling Regional Nuances through Dialect Identification using Transformer-based Approach
Vedant Deshpande, Yash Patwardhan, Kshitij Deshpande et al.
MAX-ISI System at WMT23 Discourse-Level Literary Translation Task
Li An, Linghao Jin, Xuezhe Ma
MaXM: Towards Multilingual Visual Question Answering
Soravit Changpinyo, Linting Xue, Michal Yarom et al.
MCC-KD: Multi-CoT Consistent Knowledge Distillation
Hongzhan Chen, Siyue Wu, Xiaojun Quan et al.
McGill at CRAC 2023: Multilingual Generalization of Entity-Ranking Coreference Resolution Models
Ian Porada, Jackie Chi Kit Cheung
MCLF: A Multi-grained Contrastive Learning Framework for ASR-robust Spoken Language Understanding
Zhiqi Huang, Dongsheng Chen, Zhihong Zhu et al.
MeaeQ: Mount Model Extraction Attacks with Efficient Queries
Chengwei Dai, Minxuan Lv, Kun Li et al.
MEAL: Stable and Active Learning for Few-Shot Prompting
Abdullatif Köksal, Timo Schick, Hinrich Schuetze
Measure Children’s Mindreading Ability with Machine Reading
Yuliang Yan, Xiaohua Wang, Xiang Zhou et al.
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing
Shufan Wang, Sébastien Jean, Sailik Sengupta et al.
Measuring and Narrowing the Compositionality Gap in Language Models
Ofir Press, Muru Zhang, Sewon Min et al.
Measuring bias in Instruction-Following models with P-AT
Dario Onorati, Elena Sofia Ruzzetti, Davide Venditti et al.
Measuring Faithful and Plausible Visual Grounding in VQA
Daniel Reich, Felix Putze, Tanja Schultz
Measuring Pointwise 𝒱-Usable Information In-Context-ly
Sheng Lu, Shan Chen, Yingya Li et al.
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models
Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi et al.
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
Zexue He, Yu Wang, An Yan et al.