5 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations
Theodora Worledge, Tatsunori Hashimoto, Carlos Guestrin
Across all fields of academic study, experts cite their sources when sharing information. While large language models (LLMs) excel at synthesizing information, they do not provide…
Benchmarking Distributional Alignment of Large Language Models
Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto
Language models (LMs) are increasingly used as simulacra for people, yet their ability to match the distribution of views of a specific demographic group and be \textit{distributio…
Proving Test Set Contamination in Black Box Language Models
Yonatan Oren, Nicole Meister, Niladri Chatterji +2
Large language models are trained on vast amounts of internet data, prompting concerns and speculation that they have memorized public benchmarks. Going from speculation to proof o…