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researcher

Y. Bengio

33 papers hereh-index 111.2k citations48 works total

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

author position
  • first author6
  • middle author16
  • last author7

Across the 29 of 33 papers where every author was matched, so the position is known.

fields
  • cs.CY12
  • cs.AI9
  • cs.LG4
  • cs.CL3
  • cs.CC1
  • cs.CR1
same name
  • Y. Bengio — 226 papers, h 59
  • Y. Bengio — 1 paper, h 2
  • Y. Bengio — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedFoundational Challenges in Assuring Alignment and Safety of Large Language Models

16 citations · 63 across the 30 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CY2024★ 7 cited

International Scientific Report on the Safety of Advanced AI (Interim Report)

Yoshua Bengio, Sören Mindermann, Daniel Privitera +41

This is the interim publication of the first International Scientific Report on the Safety of Advanced AI. The report synthesises the scientific understanding of general-purpose AI…

cs.LG2024

RL, but don't do anything I wouldn't do

Michael K. Cohen, Marcus Hutter, Yoshua Bengio +1

In reinforcement learning, if the agent's reward differs from the designers' true utility, even only rarely, the state distribution resulting from the agent's policy can be very ba…

cs.CY2024★ 7 cited

Open Problems in Technical AI Governance

Anka Reuel, Ben Bucknall, Stephen Casper +30

AI progress is creating a growing range of risks and opportunities, but it is often unclear how they should be navigated. In many cases, the barriers and uncertainties faced are at…

cs.LG2024★ 16 cited

Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Usman Anwar, Abulhair Saparov, Javier Rando +39

This work identifies 18 foundational challenges in assuring the alignment and safety of large language models (LLMs). These challenges are organized into three different categories…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.