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Language Modeling

Papers

Showing 96519675 of 14182 papers

TitleStatusHype
Bangla Grammatical Error Detection Using T5 Transformer ModelCode0
Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets0
DORIC : Domain Robust Fine-Tuning for Open Intent Clustering through Dependency Parsing0
Logical Implications for Visual Question Answering ConsistencyCode0
Towards the Scalable Evaluation of Cooperativeness in Language Models0
ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark0
LEP-AD: Language Embedding of Proteins and Attention to Drugs predicts drug target interactionsCode0
Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures0
Do Transformers Parse while Predicting the Masked Word?0
Finding the Needle in a Haystack: Unsupervised Rationale Extraction from Long Text Classifiers0
AMOM: Adaptive Masking over Masking for Conditional Masked Language ModelCode0
Generating multiple-choice questions for medical question answering with distractors and cue-masking0
ODIN: On-demand Data Formulation to Mitigate Dataset Lock-in0
Accommodating Audio Modality in CLIP for Multimodal ProcessingCode0
Learning Combinatorial Prompts for Universal Controllable Image Captioning0
An Overview on Language Models: Recent Developments and Outlook0
Algorithmic Ghost in the Research Shell: Large Language Models and Academic Knowledge Creation in Management Research0
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference0
Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors0
Refined Vision-Language Modeling for Fine-grained Multi-modal Pre-training0
Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?0
Knowledge-augmented Few-shot Visual Relation Detection0
Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results0
Magnushammer: A Transformer-Based Approach to Premise Selection0
Preparing the Vuk'uzenzele and ZA-gov-multilingual South African multilingual corporaCode0
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