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20232026
most citedCopyright Violations and Large Language Models

8 citations · 10 across the 10 of their papers we have counts for

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cs.CL2024

Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements

Antonia Karamolegkou, Sandrine Schiller Hansen, Ariadni Christopoulou +3

What ethical concerns, if any, do LLM researchers have? We introduce EthiCon, a corpus of 1,580 ethical concern statements extracted from scientific papers published in the ACL Ant…

cs.CL2024★ 2 cited

How Do Multilingual Language Models Remember Facts?

Constanza Fierro, Negar Foroutan, Desmond Elliott +1

Large Language Models (LLMs) store and retrieve vast amounts of factual knowledge acquired during pre-training. Prior research has localized and identified mechanisms behind knowle…

cs.CV2024

Vision-Language Models under Cultural and Inclusive Considerations

Antonia Karamolegkou, Phillip Rust, Yong Cao +3

Large vision-language models (VLMs) can assist visually impaired people by describing images from their daily lives. Current evaluation datasets may not reflect diverse cultural us…

cs.CL2024

MuLan: A Study of Fact Mutability in Language Models

Constanza Fierro, Nicolas Garneau, Emanuele Bugliarello +2

Facts are subject to contingencies and can be true or false in different circumstances. One such contingency is time, wherein some facts mutate over a given period, e.g., the presi…

cs.CL2024

Does Instruction Tuning Make LLMs More Consistent?

Constanza Fierro, Jiaang Li, Anders Søgaard

The purpose of instruction tuning is enabling zero-shot performance, but instruction tuning has also been shown to improve chain-of-thought reasoning and value alignment (Si et al.…