4 citations · 5 across the 4 of their papers we have counts for
4 papers
Mapping Social Choice Theory to RLHF
Jessica Dai, Eve Fleisig
Recent work on the limitations of using reinforcement learning from human feedback (RLHF) to incorporate human preferences into model behavior often raises social choice theory as…
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models
Naomi Saphra, Eve Fleisig, Kyunghyun Cho +1
Many NLP researchers are experiencing an existential crisis triggered by the astonishing success of ChatGPT and other systems based on large language models (LLMs). After such a di…
Mitigating Gender Bias in Machine Translation through Adversarial Learning
Eve Fleisig, Christiane Fellbaum
Machine translation and other NLP systems often contain significant biases regarding sensitive attributes, such as gender or race, that worsen system performance and perpetuate har…
Sentiment Analysis for Reinforcement Learning
Ameet Deshpande, Eve Fleisig
While reinforcement learning (RL) has been successful in natural language processing (NLP) domains such as dialogue generation and text-based games, it typically faces the problem…