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researcher

A. Rawat

67 papers hereh-index 389.7k citations118 works total

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

author position
  • sole author1
  • first author13
  • middle author47
  • last author6

Across the 67 of 67 papers where every author was matched, so the position is known.

fields
  • cs.LG34
  • cs.IT16
  • cs.CL10
  • stat.ML4
  • cs.AR1
  • cs.DC1
same name
  • A. Rawat — 10 papers, h 8
  • A. Rawat — 5 papers, h 3
  • A. Rawat — 3 papers, h 5
  • A. Rawat — 2 papers, h 5
  • A. Rawat — 2 papers, h 3
  • A. Rawat — 1 paper, h 3

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
20122025
most citedOptimal Locally Repairable and Secure Codes for Distributed Storage Systems

201 citations · 693 across the 61 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

4 papers · 2 filters

cs.CL2024

Analysis of Plan-based Retrieval for Grounded Text Generation

Ameya Godbole, Nicholas Monath, Seungyeon Kim +3

In text generation, hallucinations refer to the generation of seemingly coherent text that contradicts established knowledge. One compelling hypothesis is that hallucinations occur…

cs.CL2024

Cascade-Aware Training of Language Models

Congchao Wang, Sean Augenstein, Keith Rush +5

Reducing serving cost and latency is a fundamental concern for the deployment of language models (LMs) in business applications. To address this, cascades of LMs offer an effective…

cs.CL2024

Faster Cascades via Speculative Decoding

Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat +4

Cascades and speculative decoding are two common approaches to improving language models' inference efficiency. Both approaches involve interleaving models of different sizes, but…

cs.CL2024★ 2 cited

Language Model Cascades: Token-level uncertainty and beyond

Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum +3

Recent advances in language models (LMs) have led to significant improvements in quality on complex NLP tasks, but at the expense of increased inference costs. Cascading offers a s…

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