← Back to papers

2024 EMNLP EMNLP 2024

Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!

❓ The Questioner

Authors

Divya Patel , Pathik Patel , Ankush Chander , Sourish Dasgupta , Tanmoy Chakraborty

Related papers

EmbodiedBERT: Cognitively Informed Metaphor Detection Incorporating Sensorimotor Information 2024

Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation 2024

Learning to Extract Structured Entities Using Language Models 2024

Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis 2024

CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages 2024