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researcher

Evan Hernandez

Massachusetts Institute of Technology

8 papers hereh-index 8863 citations14 works total

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

author position
  • first author5
  • middle author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI2
  • cs.CV2
affiliations
  • Massachusetts Institute of Technology
HomepageORCID 0000-0002-8876-1781

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedDo We Still Need Clinical Language Models?

50 citations · 89 across the 7 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

3 papers · 2 filters

cs.CL2023★ 4 cited

Linearity of Relation Decoding in Transformer Language Models

Evan Hernandez, Arnab Sen Sharma, Tal Haklay +5

Much of the knowledge encoded in transformer language models (LMs) may be expressed in terms of relations: relations between words and their synonyms, entities and their attributes…

cs.CL2023★ 16 cited

Inspecting and Editing Knowledge Representations in Language Models

Evan Hernandez, Belinda Z. Li, Jacob Andreas

Neural language models (LMs) represent facts about the world described by text. Sometimes these facts derive from training data (in most LMs, a representation of the word "banana"…

cs.CL2023★ 50 cited

Do We Still Need Clinical Language Models?

Eric Lehman, Evan Hernandez, Diwakar Mahajan +7

Although recent advances in scaling large language models (LLMs) have resulted in improvements on many NLP tasks, it remains unclear whether these models trained primarily with gen…

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