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Tomasz Korbak

11 papers hereh-index 9852 citations14 works total

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

author position
  • first author2
  • middle author9

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI2
  • cs.CY2
  • cs.LG2
  • cs.CR1
same name
  • Tomasz Korbak — 13 papers, h 12
  • Tomasz Korbak — 7 papers, h 4
  • Tomasz Korbak — 7 papers, h 6
  • Tomasz Korbak — 2 papers, h 1
  • Tomasz Korbak — 1 paper

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
20232026
most citedThe Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

32 citations · 51 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.LG2025

Async Control: Stress-testing Asynchronous Control Measures for LLM Agents

Asa Cooper Stickland, Jan Michelfeit, Arathi Mani +6

LLM-based software engineering agents are increasingly used in real-world development tasks, often with access to sensitive data or security-critical codebases. Such agents could i…

cs.AI2025

How to evaluate control measures for LLM agents? A trajectory from today to superintelligence

Tomek Korbak, Mikita Balesni, Buck Shlegeris +1

As LLM agents grow more capable of causing harm autonomously, AI developers will rely on increasingly sophisticated control measures to prevent possibly misaligned agents from caus…

cs.CY2025

Safety Cases: A Scalable Approach to Frontier AI Safety

Benjamin Hilton, Marie Davidsen Buhl, Tomek Korbak +1

Safety cases - clear, assessable arguments for the safety of a system in a given context - are a widely-used technique across various industries for showing a decision-maker (e.g.…

cs.AI2025

A sketch of an AI control safety case

Tomek Korbak, Joshua Clymer, Benjamin Hilton +2

As LLM agents gain a greater capacity to cause harm, AI developers might increasingly rely on control measures such as monitoring to justify that they are safe. We sketch how devel…

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