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Toni J. B. Liu

9 papers hereh-index 455 citations8 works total

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

author position
  • first author4
  • middle author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CL3

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedLLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law

6 citations · 6 across the 7 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2026

Causal and Interpretable Structures in LLM Compositional Tasks

Gurbir Arora, Toni J. B. Liu, Jiajun Bao +2

Large language models are able to solve tasks whose answers depend on not only individual input tokens, but also on relations among them. How is such relational information represe…

cs.CL2026

Jacobian Scopes: token-level causal attributions in LLMs

Toni J. B. Liu, Baran Zadeoğlu, Nicolas Boullé +3

Large language models (LLMs) make next-token predictions based on clues present in their context, such as semantic descriptions and in-context examples. Yet, elucidating which prio…

cs.CL2025

What's in a prompt? Language models encode literary style in prompt embeddings

Raphaël Sarfati, Haley Moller, Toni J. B. Liu +2

Large language models use high-dimensional latent spaces to encode and process textual information. Much work has investigated how the conceptual content of words translates into g…

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