activity
20152026
most citedClue: Cross-modal Coherence Modeling for Caption Generation

42 citations · 142 across the 52 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023

DisCGen: A Framework for Discourse-Informed Counterspeech Generation

Sabit Hassan, Malihe Alikhani

Counterspeech can be an effective method for battling hateful content on social media. Automated counterspeech generation can aid in this process. Generated counterspeech, however,…

cs.CL2023

Learning to Generate Equitable Text in Dialogue from Biased Training Data

Anthony Sicilia, Malihe Alikhani

The ingrained principles of fairness in a dialogue system's decision-making process and generated responses are crucial for user engagement, satisfaction, and task achievement. Abs…

cs.CL2023

D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias

Sabit Hassan, Malihe Alikhani

Despite recent advancements, NLP models continue to be vulnerable to bias. This bias often originates from the uneven distribution of real-world data and can propagate through the…

cs.CL2023★ 2 cited

HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations

Anthony Sicilia, Jennifer C. Gates, Malihe Alikhani

While demographic factors like age and gender change the way people talk, and in particular, the way people talk to machines, there is little investigation into how large pre-train…

cs.CL2023

Multilingual Content Moderation: A Case Study on Reddit

Meng Ye, Karan Sikka, Katherine Atwell +3

Content moderation is the process of flagging content based on pre-defined platform rules. There has been a growing need for AI moderators to safeguard users as well as protect the…