Show newer
arXiv - CSCL

The Dark Side of the Language: Pre-trained Transformers in the DarkNet. (arXiv:2201.05613v3 [cs.CL] UPDATED) 

arxiv.org/abs/2201.05613

0
arXiv - CSCL

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. (arXiv:2311.10702v1 [cs.CL]) 

arxiv.org/abs/2311.10702

0
arXiv - CSCL

PEFT-MedAware: Large Language Model for Medical Awareness. (arXiv:2311.10697v1 [cs.CL]) 

arxiv.org/abs/2311.10697

0
arXiv - CSCL

Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers. (arXiv:2311.10642v1 [cs.CL]) 

arxiv.org/abs/2311.10642

0
arXiv - CSCL

A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest. (arXiv:2311.10614v1 [cs.CL]) 

arxiv.org/abs/2311.10614

0
arXiv - CSCL

Hashing it Out: Predicting Unhealthy Conversations on Twitter. (arXiv:2311.10596v1 [cs.CL]) 

arxiv.org/abs/2311.10596

0
arXiv - CSCL

Countering Misinformation via Emotional Response Generation. (arXiv:2311.10587v1 [cs.CL]) 

arxiv.org/abs/2311.10587

0
arXiv - CSCL

Detection of Offensive and Threatening Online Content in a Low Resource Language. (arXiv:2311.10541v1 [cs.CL]) 

arxiv.org/abs/2311.10541

0
arXiv - CSCL

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. (arXiv:2311.10537v1 [cs.CL]) 

arxiv.org/abs/2311.10537

0
arXiv - CSCL

When a Language Question Is at Stake. A Revisited Approach to Label Sensitive Content. (arXiv:2311.10514v1 [cs.CL]) 

arxiv.org/abs/2311.10514

0
arXiv - CSCL

CNL2ASP: converting controlled natural language sentences into ASP. (arXiv:2311.10505v1 [cs.AI]) 

arxiv.org/abs/2311.10505

0
arXiv - CSCL

Sinhala-English Word Embedding Alignment: Introducing Datasets and Benchmark for a Low Resource Language. (arXiv:2311.10436v1 [cs.CL]) 

arxiv.org/abs/2311.10436

0
arXiv - CSCL

Causal Graph in Language Model Rediscovers Cortical Hierarchy in Human Narrative Processing. (arXiv:2311.10431v1 [cs.CL]) 

arxiv.org/abs/2311.10431

0
arXiv - CSCL

Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads. (arXiv:2311.10395v1 [cs.CL]) 

arxiv.org/abs/2311.10395

0
arXiv - CSCL

FOAL: Fine-grained Contrastive Learning for Cross-domain Aspect Sentiment Triplet Extraction. (arXiv:2311.10373v1 [cs.CL]) 

arxiv.org/abs/2311.10373

0
arXiv - CSCL

Exploring the Relationship between In-Context Learning and Instruction Tuning. (arXiv:2311.10367v1 [cs.CL]) 

arxiv.org/abs/2311.10367

0
arXiv - CSCL

Complementary Advantages of ChatGPTs and Human Readers in Reasoning: Evidence from English Text Reading Comprehension. (arXiv:2311.10344v1 [cs.CL]) 

arxiv.org/abs/2311.10344

0
arXiv - CSCL

Prompt Pool based Class-Incremental Continual Learning for Dialog State Tracking. (arXiv:2311.10271v1 [cs.CL]) 

arxiv.org/abs/2311.10271

0
arXiv - CSCL

Energy and Carbon Considerations of Fine-Tuning BERT. (arXiv:2311.10267v1 [cs.CL]) 

arxiv.org/abs/2311.10267

0
arXiv - CSCL

Diagnosing and Debiasing Corpus-Based Political Bias and Insults in GPT2. (arXiv:2311.10266v1 [cs.CL]) 

arxiv.org/abs/2311.10266

0
Show older
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.

Trending now

Resources

Developers

What is Mastodon?

qoto.org

More…

v3.5.19-qoto · Privacy policy