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Eric T. Nalisnick

10 papers hereh-index 53.6k citations13 works total

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

author position
  • first author3
  • middle author3
  • last author3

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • stat.ML3
  • cs.AI2
  • cs.CL1
  • cs.CV1
same name
  • Eric T. Nalisnick — 18 papers, h 12
  • Eric T. Nalisnick — 7 papers, h 11
  • Eric T. Nalisnick — 3 papers, 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
20182026
most citedNormalizing Flows for Probabilistic Modeling and Inference

345 citations · 487 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.AI2026

Reading the Room: Foundations, Design, and Challenges of Normative Competence in LLMs

Andrea Wynn, Harsh Satija, Nathan Baek +5

Human communities are governed by normative systems: shared standards that produce \textit{norms} dictating acceptable behavior, enforced through community sanctioning. Aligning in…

cs.CL2026

Self-Compacting Language Model Agents

Tianjian Li, Jingyu Zhang, William Jurayj +5

Long agent traces composed of chains of thought and tool calls accumulate stale content that anchor subsequent generations, and eventually outgrow the context window. Existing scaf…

cs.AI2026

The Myth of Expert Specialization in MoEs: Why Routing Reflects Geometry, Not Necessarily Domain Expertise

Xi Wang, Soufiane Hayou, Eric Nalisnick

Mixture of Experts (MoEs) are now ubiquitous in large language models, yet the mechanisms behind their "expert specialization" remain poorly understood. We show that, since MoE rou…

cs.LG2026

A Tale of Two Temperatures: Simple, Efficient, and Diverse Sampling from Diffusion Language Models

Theo X. Olausson, Metod Jazbec, Xi Wang +4

Much work has been done on designing fast and accurate sampling for diffusion language models (dLLMs). However, these efforts have largely focused on the tradeoff between speed and…

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