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Google DeepMind

15 papers hereh-index 11379 citations57 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

fields
  • cs.LG6
  • cs.CL2
  • cs.CV2
  • cs.AI1
  • cs.CR1
  • cs.RO1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedThe FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

3 citations · 13 across the 13 of their papers we have counts for

collaborators
Showing 2025 · cs.CLShow all

2 papers · 2 filters

cs.CL2025★ 3 cited

How much do language models memorize?

John X. Morris, Chawin Sitawarin, Chuan Guo +5

We propose a new method for estimating how much a model knows about a datapoint and use it to measure the capacity of modern language models. Prior studies of language model memori…

cs.CL2025★ 3 cited

The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input

Alon Jacovi, Andrew Wang, Chris Alberti +23

We introduce FACTS Grounding, an online leaderboard and associated benchmark that evaluates language models' ability to generate text that is factually accurate with respect to giv…

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