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Rishabh Agarwal

10 papers hereh-index 74.8k citations20 works total

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

author position
  • first author1
  • middle author4

Across the 5 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG4
  • cs.CV1
  • cs.RO1
same name
  • Rishabh Agarwal — 23 papers, h 22
  • Rishabh Agarwal — 10 papers, h 9
  • Rishabh Agarwal — 7 papers, h 7
  • Rishabh Agarwal — 2 papers, h 3
  • Rishabh Agarwal — 1 paper, h 2
  • Rishabh Agarwal — 1 paper, h 1

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
20232026
most citedGemma 2: Improving Open Language Models at a Practical Size

145 citations · 258 across the 10 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

C3T: Counterfactual Causal Reasoning for Sentiment Shifts in Social-Media Conversation Trees

S M Rafiuddin, Atriya Sen

Sentiment in social-media threads does not only vary across posts; it shifts as users react to claims, corrections, evidence, and hostility within a branching reply tree. We study…

cs.CL2025★ 65 cited

Gemma 3 Technical Report

Gemma Team, Aishwarya Kamath, Johan Ferret +209

We introduce Gemma 3, a multimodal addition to the Gemma family of lightweight open models, ranging in scale from 1 to 27 billion parameters. This version introduces vision underst…

cs.CL2024★ 1 cited

Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models

Yinlam Chow, Guy Tennenholtz, Izzeddin Gur +7

Recent studies have indicated that effectively utilizing inference-time compute is crucial for attaining better performance from large language models (LLMs). In this work, we prop…

cs.CL2024★ 145 cited

Gemma 2: Improving Open Language Models at a Practical Size

Gemma Team, Morgane Riviere, Shreya Pathak +195

In this work, we introduce Gemma 2, a new addition to the Gemma family of lightweight, state-of-the-art open models, ranging in scale from 2 billion to 27 billion parameters. In th…

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