Search Results for author: Adithya V Ganesan

Found 4 papers, 1 papers with code

SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks

no code implementations3 Feb 2024 Gourab Dey, Adithya V Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz

Social science NLP tasks, such as emotion or humor detection, are required to capture the semantics along with the implicit pragmatics from text, often with limited amounts of training data.

Humor Detection Reading Comprehension

Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation

no code implementations1 Jun 2023 Adithya V Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz

Very large language models (LLMs) perform extremely well on a spectrum of NLP tasks in a zero-shot setting.

Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality

1 code implementation NAACL 2021 Adithya V Ganesan, Matthew Matero, Aravind Reddy Ravula, Huy Vu, H. Andrew Schwartz

In human-level NLP tasks, such as predicting mental health, personality, or demographics, the number of observations is often smaller than the standard 768+ hidden state sizes of each layer within modern transformer-based language models, limiting the ability to effectively leverage transformers.

Dimensionality Reduction

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