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R. Ness

6 papers hereh-index 6688 citations12 works total

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

author position
  • first author1
  • middle author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.LG2
  • q-bio.QM1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedCausal Reasoning and Large Language Models: Opening a New Frontier for Causality

93 citations · 116 across the 6 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.AI2023★ 22 cited

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

Ida Momennejad, Hosein Hasanbeig, Felipe Vieira +5

Recently an influx of studies claim emergent cognitive abilities in large language models (LLMs). Yet, most rely on anecdotes, overlook contamination of training sets, or lack syst…

cs.LG2023

Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science

Somya Sharma, Swati Sharma, Licheng Liu +6

An improved understanding of soil can enable more sustainable land-use practices. Nevertheless, soil is called a complex, living medium due to the complex interaction of different…

cs.AI2023★ 93 cited

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Emre Kıcıman, Robert Ness, Amit Sharma +1

The causal capabilities of large language models (LLMs) are a matter of significant debate, with critical implications for the use of LLMs in societally impactful domains such as m…

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