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20232026
most cited"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters

20 citations · 46 across the 42 of their papers we have counts for

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7 papers · 1 filter

cs.CL2023★ 20 cited

"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters

Yixin Wan, George Pu, Jiao Sun +3

Large Language Models (LLMs) have recently emerged as an effective tool to assist individuals in writing various types of content, including professional documents such as recommen…

cs.CL2023★ 2 cited

Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems

Yixin Wan, Jieyu Zhao, Aman Chadha +2

Recent advancements in Large Language Models empower them to follow freeform instructions, including imitating generic or specific demographic personas in conversations. We define…

cs.CL2023★ 1 cited

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction

Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh +6

Event extraction has gained considerable interest due to its wide-ranging applications. However, recent studies draw attention to evaluation issues, suggesting that reported scores…

cs.CL2023

Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Po-Nien Kung, Fan Yin, Di Wu +2

Instruction tuning (IT) achieves impressive zero-shot generalization results by training large language models (LLMs) on a massive amount of diverse tasks with instructions. Howeve…

cs.CL2023★ 1 cited

Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models

Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang

Keyphrase Generation (KPG) is a longstanding task in NLP with widespread applications. The advent of sequence-to-sequence (seq2seq) pre-trained language models (PLMs) has ushered i…

cs.CL2023

Mitigating Bias for Question Answering Models by Tracking Bias Influence

Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta +6

Models of various NLP tasks have been shown to exhibit stereotypes, and the bias in the question answering (QA) models is especially harmful as the output answers might be directly…

cs.CL2023

Contextual Label Projection for Cross-Lingual Structured Prediction

Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang +2

Label projection, which involves obtaining translated labels and texts jointly, is essential for leveraging machine translation to facilitate cross-lingual transfer in structured p…