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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9067 directly classified papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
Team ÚFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language Models
ACL 2022
Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned
ACL 2022
Cross-Lingual UMLS Named Entity Linking using UMLS Dictionary Fine-Tuning
ACL 2022
On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets
AAAI 2022
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning
AAAI 2022
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
NIPS 2022
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
NIPS 2022
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
NIPS 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
NIPS 2022
Factuality Enhanced Language Models for Open-Ended Text Generation
NIPS 2022
Fine-tuning language models to find agreement among humans with diverse preferences
NIPS 2022
Unsupervised Cross-Task Generalization via Retrieval Augmentation
NIPS 2022
YNU-HPCC at SemEval-2022 Task 4: Finetuning Pretrained Language Models for Patronizing and Condescending Language Detection
NAACL 2022
stce at SemEval-2022 Task 6: Sarcasm Detection in English Tweets
NAACL 2022
High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic texts
NAACL 2022
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic
NAACL 2022
TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models
NAACL 2022
Dartmouth at SemEval-2022 Task 6: Detection of Sarcasm
NAACL 2022
SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages
NAACL 2022
JBNU-CCLab at SemEval-2022 Task 7: DeBERTa for Identifying Plausible Clarifications in Instructional Texts
NAACL 2022
PALI at SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts
NAACL 2022
niksss at SemEval-2022 Task7:Transformers for Grading the Clarifications on Instructional Texts
NAACL 2022
AliEdalat at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Fine-tuned Language Models, BERT+BiGRU, and Ensemble Models
NAACL 2022
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection
NAACL 2022
PALI-NLP at SemEval-2022 Task 6: iSarcasmEval- Fine-tuning the Pre-trained Model for Detecting Intended Sarcasm
NAACL 2022
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