Elisa Ferracane — accepted AI-conference papers

2024

Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends

Sanjana Ramprasad, Elisa Ferracane, Zachary Lipton

ACL 2024long

Recent advancements in large language models (LLMs) have significantly advanced the capabilities of summarization systems.However, they continue to face a persistent challenge: hallucination. While prior work has extensively examined LLMs in news domains, evaluation of dialogue summarization has pri…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗

2021

Did they answer? Subjective acts and intents in conversational discourse

Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk

NAACL 2021long

Discourse signals are often implicit, leaving it up to the interpreter to draw the required inferences. At the same time, discourse is embedded in a social context, meaning that interpreters apply their own assumptions and beliefs when resolving these inferences, leading to multiple, valid interpret…

Cited by 19 Source ↗PDF ↗code ↗Scholar ↗