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Siddhartha Brahma

Google Research

24 papers hereh-index 1514.2k citations67 works total

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

author position
  • sole author6
  • first author2
  • middle author9

Across the 17 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CL18
  • cs.LG3
  • cs.DC1
  • cs.IT1
  • cs.NI1
affiliations
  • Google Research
same name
  • Siddhartha Brahma — 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
20162026
most citedScaling Instruction-Finetuned Language Models

1.2k citations · 1.7k across the 23 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023★ 33 cited

Instruction-Following Evaluation for Large Language Models

Jeffrey Zhou, Tianjian Lu, Swaroop Mishra +5

One core capability of Large Language Models (LLMs) is to follow natural language instructions. However, the evaluation of such abilities is not standardized: Human evaluations are…

cs.CL2023★ 168 cited

PaLM 2 Technical Report

Rohan Anil, Andrew M. Dai, Orhan Firat +125

We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 i…

cs.CL2023★ 6 cited

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference

Tao Lei, Junwen Bai, Siddhartha Brahma +9

We propose Conditional Adapter (CoDA), a parameter-efficient transfer learning method that also improves inference efficiency. CoDA generalizes beyond standard adapter approaches t…

cs.CL2023★ 1 cited

CoLT5: Faster Long-Range Transformers with Conditional Computation

Joshua Ainslie, Tao Lei, Michiel de Jong +9

Many natural language processing tasks benefit from long inputs, but processing long documents with Transformers is expensive -- not only due to quadratic attention complexity but…

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